Yuki KINOSHITA
| Department of Informatics | Associate Professor |
| Cluster I (Informatics and Computer Engineering) | Associate Professor |
Researcher Information
Field Of Study
Career
- Apr. 2025 - Present
The University of Electro-Communications, Graduate School of Informatics and Engineering, Associate Professor - Jun. 2023 - Mar. 2025
The University of Electro-Communications, 客員研究員, Japan - Apr. 2023 - Mar. 2025
Kindai University, Faculty of Engineering Department of Informatics, 助教 - Apr. 2020 - Mar. 2023
SECOM CO., LTD., Intelligent Systems Laboratory, Researcher - Apr. 2018 - Mar. 2020
Japan Society for the Promotion of Science, 特別研究員(DC2)
Educational Background
- Apr. 2017 - Mar. 2020
The University of Electro-Communications, Graduate School of Informatics and Engineering, Department of Informatics - Apr. 2015 - Mar. 2017
The University of Electro-Communications, Graduate School of Informatics and Engineering, Department of Informatics - Apr. 2011 - Mar. 2015
The University of Electro-Communications, Faculty of Informatics and Engineering, Department of Informatics
Research Activity Information
Award
- Sep. 2024
5th Asia pacific IEOM Conference
Distinguished Young IEOM Researcher Award, Yuki Kinoshita - Dec. 2023
The 7th Asian Conference of Management Science and Applications
Mix and Single Carbon Policy Evaluations for Cost-Effectiveness of GHG Reduction in Global Supply Chain Network
Excellent Paper of Special Session, Miyu Kotegawa, Yuki Kinoshita, Tetsuo Yamada - Jul. 2023
International Foundation for Production Research
2023 IFPR Early Career Researchers Mentoring Award, Yuki KINOSHITA - Jul. 2018
3rd International Conference on Business Management of Technology (BMOT 2018), 7th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2018)
Mathematical Modeling of Multi-player Multi-objective Decision Making by Linear Physical Programming
Outstanding Paper Award, Tomoaki Yatsuka;Aya Ishigaki;Hiromasa, Ijuin;Yuki Kinoshita;Tetsuo Yamada;Masato Inoue - Apr. 2018
Northeast Decision Sciences Institute 2018 Annual Conference
Design of Multi-player Multi-objective Decision Support System using a Linear Physical Programming Approach
Best Poster Award, Tomoaki Yatsuka;Riku Yamagata;Aya Ishigaki;Yuki Kinoshita;Tetsuo Yamada;Masato Inoue - Mar. 2017
The University of Electro-Communications
President Award, 木下雄貴 - Mar. 2017
一般社団法人 目黒会(電気通信大学同窓会)
目黒会賞, 木下雄貴 - Mar. 2016
The University of Electro-Communications
President Award, 木下雄貴 - Mar. 2015
Japan Industrial Management Association
Outstanding Student Award, 木下雄貴
Paper
- Global Supply Chain Network Design Under Cap-and-Trade System and Analysis of Carbon Price and Emission Allowance
Miyu Kotegawa; Yuki Kinoshita; Tetsuo Yamada
Corresponding, Green and Low-Carbon Economy, BON VIEW PUBLISHING PTE, 3, 2, 159-170, Apr. 2025, Peer-reviwed, Carbon cap-and-trade has been introduced to reduce greenhouse gas (GHG). Carbon cap-and-trade is expected to incentivize reducing GHG emissions because it enables the receipt of refunds based on the gap between actual GHG emissions and the predetermined allowance. Moreover, GHG emissions, procurement costs, and custom duties depend on the country, its economic conditions, the electric energy mix, and free trade agreements (FTAs). To reduce GHG emissions with an affordable cost in a global supply chain, it is important to select suppliers and factory locations considering these factors. Furthermore, since carbon price and GHG emission allowance could be changed, manufacturers should also be paid attention to cost fluctuations due to carbon cap-and-trade. This study develops a mathematical model for a global supply chain with a carbon cap-and-trade system and analyzes GHG emissions and costs under different carbon prices and GHG emission allowances. First, procurement cost and GHG emissions for each part are estimated using the life cycle inventory (LCI) database, and a bill of materials (BOM), listing the estimated cost and GHG emissions for each procured country, is created. Second, a global supply chain with a carbon cap-and-trade is formulated using mathematical programming. Third, numerical experiments are conducted to illustrate a design example. Finally, the results are discussed and analyzed from the viewpoints of reducing costs, GHG emissions, cost-effectiveness, and switching suppliers. It is found that the carbon cap-and-trade system can be effective in constructing a global low-carbon supply chain considering customs duties and FTAs and that carbon price has a greater impact on the reduction of GHG emissions instead of GHG emissions allowance in the numerical experiments. Received: 31 December 2023 | Revised: 6 July 2024 | Accepted: 26 August 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request. Author Contribution Statement Miyu Kotegawa: Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - review & editing, Visualization. Yuki Kinoshita: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - review & editing, Visualization, Supervision, Project administration. Tetsuo Yamada: Conceptualization, Resources, Supervision, Project administration, Funding acquisition.
Scientific journal, English - 2-Stage Design of E-Moped-Sharing Service for Accessibility, Greenhouse Gas Emissions, and Cost Through Station and Supplier Selections
Seigo Takahashi; Yuki Kinoshita; Nora Schelte; Semih Severengiz; Tetsuo Yamada
Energies, MDPI AG, 18, 7, 1-22, 25 Mar. 2025, Peer-reviwed, In recent years, there has been a call for a shift to transportation with lower greenhouse gas (GHG) emissions in order to combat global warming. One of the ecofriendly transportation methods is an electric moped scooter (e-moped)-sharing service that does not emit GHG when it runs. It is necessary to plan the location of charging stations and the material procurement through the manufacturing of e-mopeds in order to reduce the cost and GHG emissions and to improve the accessibility of the service. In this study, a two-stage design on the e-moped-sharing services is proposed to allocate charging stations and select material suppliers for e-mopeds using integer programming. The analysis method to determine the suitable charging station locations and sizes and supplier selection are also presented. Numerical experiments are conducted to illustrate the proposed design and analysis method by assuming Kumpan’s 1954 i model installation in Bochum city, Germany. In the numerical experiments, set covering and maximal covering location problems with small coverage radius of charging stations would be better by evaluating accessibility, GHG emissions, and cost comprehensively. Moreover, 11 prioritized demand points were picked out by introducing new indexes such as geographical and demand importance.
Scientific journal, English - 生徒間交流の促進と円滑な学級運営を両立する座席配置モデルの構築
中村太信; 木下雄貴
日本設備管理学会誌, 36, 4, 105-112, Feb. 2025, Peer-reviwed
Scientific journal, Japanese - Carbon Tax Refund System for Recycling in Reverse Supply Chain Network to Minimize GHG Emissions and Costs
Haruto Takeshita; Yuki Kinoshita; Tetsuo Yamada
Sustainability, MDPI AG, 16, 24, 1-17, 17 Dec. 2024, Peer-reviwed, Material recycling is vital for achieving carbon neutrality because using recycled materials helps avoid greenhouse gas (GHG) emissions that result from using virgin material. Carbon tax has been introduced in many countries to reduce GHG emissions. As recycling can prevent additional GHG emissions, the carbon tax should be refunded based on the GHG volume saved by recycling. The incentive of carbon tax refund can help promote recycling as an environment-friendly and economical activity. To retrieve material values from end-of-life (EOL) products, a reverse supply chain network should be designed based on the status and value of EOL products. This study introduces carbon tax refund into the reverse supply chain network for maximizing saved GHG emissions and minimizing cost. The bi-objective model is formulated using ϵ constraint method and integer programming. Numerical experiments were conducted based on the recycling of a vacuum cleaner and a laptop. The monetary rate at which the carbon tax refund became economically attractive differed according to product type. Thus, variable carbon tax refund rates would be needed, based on product type, to incentivize recycling.
Scientific journal, English - Upgrade-remanufacturing decision method of EOL products using bi-objective optimization for GHG saving rate and profit
Kotaro AKINO; Yuki KINOSHITA; Shuho YAMADA; Tetsuo YAMADA
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Japan Society of Mechanical Engineers, 18, 7, 1-13, Nov. 2024, Peer-reviwed
Scientific journal, English - Modeling Individual Carbon Cap-and-Trade Systems Across Nations to Design Global Supply Chain Networks
Miyu Kotegawa; Yuki Kinoshita; Tetsuo Yamada
Corresponding, Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM Society International, 1-12, 10 Sep. 2024, Peer-reviwed
International conference proceedings, English - Comparison of Different Procurement Options and Influence on Greenhouse Gas Emissions: Case of Bochum City
Seigo Takahashi; Yuki Kinoshita; Nora Schelte; Thomas Spelten; Semih Severengiz; Tetsuo Yamada
The 7th Asian Conference of Management Science and Applications, 338-343, Dec. 2023, Peer-reviwed
International conference proceedings, English - Design of a robust closed-loop supply chain with backup suppliers under disruption scenarios
Keisuke NAGASAWA; Yuki KINOSHITA; Katsumi MORIKAWA; Katsuhiko TAKAHASHI
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Japan Society of Mechanical Engineers, 17, 5, 1-15, Sep. 2023, Peer-reviwed
Scientific journal, English - Utilization of Free Trade Agreements to Minimize Costs and Carbon Emissions in the Global Supply Chain for Sustainable Logistics
Yuki Kinoshita; Takaki Nagao; Hiromasa Ijuin; Keisuke Nagasawa; Tetsuo Yamada; Surendra M. Gupta
Lead, Logistics, MDPI AG, 7, 2, 1-21, 01 Jun. 2023, Peer-reviwed, Background: Since global warming is a crucial worldwide issue, carbon tax has been introduced in the global supply chain as an environmental regulation for the reduction of greenhouse gas (GHG) emissions. Costs, GHG emissions, and carbon tax prices differ in each country due to economic conditions, energy mixes, and government policies. Additionally, multiple countries have signed a Free Trade Agreement (FTA). While FTAs result in their economic benefit, they also increase the risk of carbon leakage, which increases GHG emissions in the global supply chain due to relocation production sites from a country with stricter emission constraints to others with laxer ones. Method: This study proposes a mathematical model for decision support to minimize total costs involving carbon taxes with FTAs. Results: Our model determines suppliers, factory locations, and the number of transported parts and products with costs, FTAs, carbon taxes, and material-based GHG emissions estimated using the Life Cycle Inventory (LCI) database. The FTA utilization on the global low-carbon supply chain is examined by comparing the constructed supply chains with and without FTAs, and by conducting sensitivity analysis of carbon tax prices. Conclusions: We found that FTAs would not cause carbon leakage directly and would be effective for reducing GHG emissions economically.
Scientific journal, English - Integrating Global and Closed-Loop Supply Chains to Minimize Costs and GHG Emissions using LPP
Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada
Northeast Decision Institute 2023 Annual Conference, 992-1000, Mar. 2023
International conference proceedings, English - Designing Individual Material Recovery in Reverse Supply Chain Using Linear Physical Programming at the Digital Transformation Edge
IJUIN Hiromasa; KINOSHITA Yuki; YAMADA Tetsuo; ISHIGAKI Aya
Journal of Japan Industrial Management Association, Japan Industrial Management Association, 72, 4E, 259-271, Jan. 2022, Peer-reviwed, In order to save individual virgin materials by recycling products, manufacturing companies must adopt new information technology to evaluate the environmental impact of their management. The transformative adoption of digital technology is referred to as digital transformation (DX), and the DX technique can be used to digitalize reverse supply chain management strategies for environmental issues. Before the use of the DX technique for a reverse supply chain, a decision maker (DM) was not be able to know the material types of the end-of-life (EOL) products based on their status until they had been recycled. However, using the DX technique, the DM is able to understand EOL product data such as the number and the amount of each material within the EOL products in advance. Therefore, the usage of the DX technique enables the DM to design the reverse supply chain network not only environmentally-friendly but also economical. In applying DX to supply chain networks, supply chain managers must cut costs and evaluate environmental impacts. In order to balance environmental and economic concerns, the DM can design a reverse supply chain network using a solving method for multi-criteria decision making such as linear physical programming (LPP). Using the LPP algorithm, the DM can calculate a harmonized weight for objective functions with a trade-off relationship. This study designs a reverse supply chain network for individual material recovery environmentally-friendly and economical by using LPP as one of the support methods in the era of DX. The academic contribution of this study is that the effect of objective functions for individual material types can be identified, and the practical contribution is that it enables us to find a reverse network solution based on individual materials being collected from EOL products recycled throughout numerical experiments with LPP.
Scientific journal, English - Sustainability Assessment of Reuse and Recycling Management Options for End-of-Life Computers-Korean and Japanese Case Study Analysis
Jaeho Han; Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Shuho Yamada; Masato Inoue
RECYCLING, MDPI, 6, 3, 1-17, Sep. 2021, Peer-reviwed, The depletion of natural resources and global warming have increased in severity globally. In the industrial field, assembly products, such as electronic products, should be disassembled for recycling and reuse to deal with these problems. Reuse and recycling can contribute to reducing GreenHouse Gas (GHG) emissions and less depletion of natural resources since GHG emissions for virgin material production can be saved using reused components and recycled materials. However, each component of selling revenue and material-based GHG emissions depends on the country because of the different energy mixes of electrical power. Moreover, each collected component embedded in End-of-Life (EOL) products needs to be selected as a life cycle option based on its remaining life. The purpose of this study is to decide life cycle options such as reuse, recycling, and disposal of each component environmentally-friendly and economically in Korea and Japanese cases for computers. Firstly, selecting the life cycle option for each component was formulated by 0-1 integer programming with epsilon constraints. Next, GHG emissions, profits, and costs in Korea and Japan were estimated and analyzed for each component. Finally, Korean and Japanese cases were analyzed to obtain an economic value in the same material-based GHG saving rate with each component's life cycle option selection by comparing each EOL product data. In the experiments, GHG recovery efficiency was higher in Japan 43 [g/Yen] than one in Korea 28 [g/Yen]. Therefore, it was better to retrieve and reutilize the components in Korea. However, if the maximum GHG recovery efficiency is desired, Japan is a better option.
Scientific journal, English - Disassembly system design and analysis with environmental and economic parts selection using life cycle inventory database by input-output tables
Tetsuo Yamada; Yusuke Suzuki; Yuki Kinoshita; Tadayuki Masui; Norihiro Itsubo; Masato Inoue
International Journal of Sustainable Manufacturing, 5, 1, 23-43, Jul. 2021, Peer-reviwed, To prevent material starvation and global warming caused by manufacturing, disassembly systems for end-of-life (EOL) products should be environmentally and economically designed to promote a closed-loop supply chain for assembly products. With parts selection in the disassembly systems, parts/materials with higher CO2 volumes should be recycled for environmental reasons. On the other hand, parts/materials with higher profit, which is the difference between the revenue of recovered materials and disassembly costs, should be disassembled for economic reasons. A disassembly system design considering not only the environmental loads but also the recovered parts/materials is proposed by using a product lifecycle management (PLM) tool. However, from a technical and financial standpoint, it is not easy for the disassembly factory sites to create the 3D-CAD models and obtain the environmental information using the PLM tool. This paper proposes a disassembly system design with the environmental and economic parts selection using a life cycle inventory database by input-output tables.
Scientific journal, English - リバース型フルフィルメントプロセスの機械学習を用いた分析プロジェクトの事例研究 : 商品分類およびリードタイムの予測と可視化—
酒井 啓輔; 山田 哲男; 仲田 知弘; 木下 雄貴; 中嶋 良介; 北野 祐太
日本設備管理学会誌 = Journal of the Society of Plant Engineers Japan / 日本設備管理学会編集事務局 編, 日本設備管理学会, 32, 4, 99-111, Feb. 2021, Peer-reviwed
Scientific journal, Japanese - Remanufacturing Option Selection with Disassembly for Recovery Rate and Profit
Kazuki Yoda; Hayate Irie; Yuki Kinoshita; Tetsuo Yamada; Shuho Yamada; Masato Inoue
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, FUJI TECHNOLOGY PRESS LTD, 14, 6, 930-942, Nov. 2020, Peer-reviwed, In order to cope with the issue of depletion of natural resources, expectations for economical designs of the closed-loop supply chains of products that include remanufacturing in their lifecycle have recently significantly grown. However, since disassembly of a product to remanufacture it is costly due to high labor costs, the lifecycle option of remanufacturing an end of life product by disassembly and reassembly needs to be established environmentally as well as economically. In this study, we propose a remanufacturing option selection method that takes recovery rates and profits into account. First, a bill of materials of a product is prepared to create data for remanufacturing. Next, its remanufacturing option selection is formulated by using the 0-1 integer programming. Lastly, the proposed remanufacturing option selection method is verified by analyzing the sensitivities of the recovery rates and selling prices of the remanufactured products using the epsilon constraint method. The proposed method that takes remanufacturing into account has demonstrated a generating larger profits than a conventional method maintaining high recovery rates at the same levels in a case study.
Scientific journal, English - Collaboration Strategy for a Decentralized Supply Chain Using Linear Physical Programming
Tomoaki Yatsuka; Aya Ishigaki; Surendra M. Gupta; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, FUJI TECHNOLOGY PRESS LTD, 14, 5, 723-733, Sep. 2020, Peer-reviwed, In recent years, the environment surrounding companies has become more challenging. It has become more difficult for many companies in the manufacturing industry to possess all the skills they need, such as production, warehousing, and retailing, so they need to outsource certain skills. In supply chains with several companies, each has an optimal strategy. Specifically, supply chains where the solution is decided through negotiations with their partners are defined as "decentralized supply chains." In such situations, collaborative relationships are important. One possible approach is replenishment contracts between vendors and buyers under the condition that demand for each buyer is constant. In a buyer-dominated supply chain, because the vendor cannot choose solutions that lower the satisfaction of buyers, it is difficult to change the replenishment intervals. The common replenishment epochs (CRE) strategy is one of the methods used to address this issue. The vendor integrates the buyers' replenishment timings using CRE and provides a price discount on the products to compensate for the increase in the cost to the buyers. The price discount rate is calculated based on the worst reduction rate in the costs incurred by the buyers based on the economic order quantity (EOQ) model. The optimal CRE and discount rate are decided such that the cost incurred by vendor is minimized. The increased emphasis on the worst reduction rates can potentially lead to biases in buyer satisfaction, and the price discount rate is overestimated. Then, the cost of the vendor increases. Hence, through the negotiations with less satisfied buyers, the vendor changes the CRE so that their satisfaction is improved and the price discount is lower. As a result, the vendor can reduce its cost. This study develops a model to find an improved solution after the negotiations. If satisfaction of multiple players is regarded as multi-objective, a solution of multi-player decision-making is obtained using multi-objective optimization. Linear physical programming (LPP) has been applied as a formofmulti-objective optimization, and it is possible to determine the weight coefficients using the preference ranges of the objective functions. In addition, by considering the buyers' preference levels, the constraints of the discount rates are relaxed and the vendor's cost can be reduced. Therefore, this study develops a model based on the CRE strategy using LPP.
Scientific journal, English - Decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, ELSEVIER, 224, -14, Jun. 2020, Peer-reviwed, Materials and parts selection in product design phase will affect procurement cost, assembly cost and recycling costs in manufacturing phase. Similar to such costs, recyclable weight depends on material types due to different material manufacturing processes. As material shortages have increased, environmentally friendly and economical material selection is required. Since assembly products consist of various parts made of different materials, it is difficult and complex to evaluate recyclable weight and costs simultaneously in the assembly product design. This selection is considered as a multi-criteria decision-making problem in which objective functions have trade-off relationships. Thus, a decision support model is required to enable product designers to evaluate alternative material in terms of both environmental and economic aspects among procurement, assembly, and recycling. As a method of solving the multi-criteria decision-making problems, goal programming is recognized as one of the effective ways of evaluating the different objective functions simultaneously.This study proposes a decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight. The developed model contributes to proposing candidate materials for the assembly products in the concept design phase since the model requires only inputting the material type and weight for each part to evaluate cost and recyclable weight. First, the procedures regarding alternative material selection are explained. Next, the procurement, assembly, and recycling costs are estimated based on the material types and assembly/disassembly tasks and weights. In addition, the environmental loads, such as the recyclable weight for each part, are calculated based on the material types and weight. Third, the alternative material selection is formulated as a bi-objective problem by goal programming for minimizing costs such as procurement, assembly, and recycling costs for minimizing recyclable weight. Finally, a case study is presented and analyzed in terms of the environmental and economic aspects among procurement, assembly, and recycling.
Scientific journal, English - Development of a Decision Support Tool for GHG Emissions and Procurement Costs with Material Recommendation
UMETA Kohei; KONDO Rena; KINOSHITA Yuki; YAMADA Tetsuo; YAMADA Shuho; INOUE Masato
JOURNAL OF JAPAN SOCIETY FOR DESIGN ENGINEERING, Japan Society for Design Engineering, 55, 4, 277-294, Apr. 2020, Peer-reviwed, Manufacturing has been required to reduce greenhouse gases (GHG) to deal with global warming. GHG emissions and procurement costs for a virgin material production depend on not only material types and weight determined at a product design phase but also manufactured countries because of its energy mix of the electric power. Then, product designers with multiple of design considerations need to take into account of both GHG emissions and procurement cost in selecting types of materials for each part. To visualize GHG emissions and procurement costs, an estimation method based on life cycle inventory (LCI) database with the Asian International Input-Output Table has been developed. However, the estimation method often causes longer estimation time and errors for inputting data throughout the estimation processes because the method requires to refer to several different databases manually. This study focuses on assembly products/materials produced in 9 countries including Japan, and develops a decision support tool for GHG emissions and procurement costs with material recommendation by the LCI database using Asian International Input-Output Table. The developed tool enables to estimate GHG emissions and procurement cost simultaneously and automatically for each part by only inputting its material type and weight. Moreover, the material recommendation function suggests alternative materials based on reduction targets of GHG emissions and procurement costs. First, LCI database is introduced to estimate GHG emissions and procurement costs. Next, it is described processes of automatic calculation in the developed tool and recommendation function for GHG emissions and procurement costs. Finally, user tests are conducted to validate the developed tool.
Scientific journal, Japanese - Design of disassembly-to-order system for reused components and recycled materials using linear physical programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Lead, International Journal of Sustainable Manufacturing, 4, 2-4, 121-149, Apr. 2020, Peer-reviwed, To reduce the consumption of natural resources, a disassembly-to-order (DTO) system is required, where end-of-life (EOL) products are purchased and disassembled for component reuse and material recycling. A DTO system involves multiple uncertainties due to different qualities of EOL products. These uncertainties make it difficult to determine the number of take-back EOL products from suppliers to reuse, recycle, or send to disposal facilities, in order to satisfy multiple goals. To solve the multi-criteria DTO problem, linear physical programming (LPP) is used. LPP can seek a solution to satisfy preferences of a decision maker with respect to each criterion. This study attempts to achieve higher aspiration levels for multiple goals simultaneously in a DTO system by using LPP. A numerical example is conducted with three different EOL products composed of eight different components. It is found that only three components need to be procured from an outside components supplier to satisfy the demands by determining the number of purchased EOL products from the suppliers in the numerical experiment.
Scientific journal, English - Comparison of Korean, Japanese and German Cases by Life Cycle Option Selection for Material-based CO2 Saving Rate and Cost
Jaeho Han; Kazuki Yoda; Hayate Irie; Yuki Kinoshita; Tetsuo Yamada
Northeast Decision Sciences Institute 2020 Annual Conference, 684-691, Mar. 2020
International conference proceedings, English - Collaboration Method of Single-Vendor Multi-Buyer Supply Chain using Multi-Player Linear Physical Programming
Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
The 20th Asia Pacific Industrial Engineering And Management Systems, 818-823, Dec. 2019, Peer-reviwed
International conference proceedings, English - Analysis of Economical Material-Based GHG Recovery and Reduction by Integrated Supplier and Disassembly Part Selections: Cell Phone Case Study
Hayate Irie; Yuki Kinoshita; Tetsuo Yamada
Proceedings of EcoDesign 2019 International Symposium, 693-698, Nov. 2019
International conference proceedings, English - Designing Reverse Supply Chain Network with Costs and Recycling Rate by Using Linear Physical Programming
Ijuin Hiromasa; Kinoshita Yuki; Yamada Tetsuo; Ishigaki Aya; Inoue Masato
International Journal of Smart Computing and Artificial Intelligence, International Institute of Applied Informatics, 3, 2, 57-76, Nov. 2019, Peer-reviwed
Scientific journal, English - Design problem of economic carbon recovery and reduction by integrated supplier and disassembly part selections
Hayate Irie; Yuki Kinoshita; Tetsuo Yamada
Sustainable Manufacturing - Hand in Hand to Sustainability on Globe: Proceedings of the 17th Global Conference on Sustainable Manufacturing, ELSEVIER SCIENCE BV, 43, 306-313, Oct. 2019, Peer-reviwed, In global supply chain, the CO2 emissions on the material manufacturing stage cannot be avoided. However, the recycling of used materials within the assembled products in the end-of-life (EOL) stage can recover the CO2 emission by replacing with virgin materials for new products. Inc i et al. (2018) [1] evaluated the total CO2 emission and cost investigations two types of economic and environmental selections for suppliers on the procurement stage and disassembly parts on the EOL one. However, two types of the selections are determined separately. This study proposes a integrated model of the supplier and disassembly part selections for carbon recovery and reduction. (C) 2020 The Authors. Published by Elsevier B.V.
International conference proceedings, English - Problem of disassembly-to-order system for recycling rate and profit using linear physical programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Lead, 25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, 39, 1597-1606, Aug. 2019, Peer-reviwed, Manufacturing has been required to promote material circulation by reusing components and recycling materials since the depletion of natural resources has become more serious. Thus, values of components and materials in end-of-life (EOL) products need to be recovered for material circulation. Disassembly-to-order (DTO) system, which determines the combinations of the EOL products or components for each recovery process such as disassembly, inspection and recycling, should be constructed to maximize not only profit but also recycling rate for the material circulation. Since the recycling rate can be defined as a ratio of recyclable weight, the maximizing recycling rate can reduce disposal weight of the EOL products. To establish the DTO system environmentally friendly and economically, it should be designed using multi criteria decision making techniques known as Linear Physical Programming (LPP). One of the advantages of the LPP is that mathematical weights for each criterion based on preferences of a decision maker can be calculated with its algorithm. This study addresses the design of DTO problem for recycling rate and profits using LPP. First, procedures of the DTO systems are explained. Next, a numerical experiment is illustrated to show a design example of the proposed method. Finally, conclusions and future studies are provided.
International conference proceedings, English - Linear Physical Programming Iteration Method of Multi-Player Multi-Objective Decision Making Supply Chain
Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, Procedia Manufacturing, Elsevier BV, 39, 1649-1657, Aug. 2019, Peer-reviwed, In real situations of supply chain, the companies have different environments, but they deal with common kinds of products. S o, they may conflict each other in order to continue businesses and an optimal solution with respect to one company may be unacceptable with respect to another company. In car design, several teams take charge of several kinds of performances and have common elements among them, and one of the methods of multi-player multi-objective decision making by iterations of the steps of negotiations among the teams and reviews of their requirements is used. This method is called "Suriawase process." In Yatsuka et al. (2018), in order to reproduce the step of negotiation of Suriawase process, Linear Physical Programming (LPP) is used as one of multi-objective optimization methods with single decision maker and, by extending LPP to multi-player with Robust Optimization (RO), the mathematical model of multi-player multi-objective decision making is reproduced in the simple problem of production planning in supply chain. However, in Suriawase process, if the solution is not acceptable to some of decision makers after the step of negotiation, the steps of reviews of requirements are carried out to make an acceptable solution to all decision makers, but they are not reproduced in Yatsuka et al. (2018). Therefore, the purpose of this research is to reproduce the iteration method of LPP with the steps of reviews of requirements. (C) 2019 The Authors. Published by Elsevier Ltd.
International conference proceedings, English - Control Method of Effect of Robust Optimization in Multi-Player Multi-Objective Decision-Making
Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
American Journal of Operations Research, 9, 4, 175-191, Jul. 2019, Peer-reviwed
Scientific journal, English - Life cycle option selection of disassembly parts for material-based CO2 saving rate and recovery cost: Analysis of different market value and labor cost for reused parts in German and Japanese cases
Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Stefan Bracke
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, ELSEVIER SCIENCE BV, 213, 229-242, Jul. 2019, Peer-reviwed, Global warming is the major global environmental issue. To achieve less greenhouse gas emissions with circular economy for manufacturing assembly products, the key is to recovery including reuse and recycling End-of-life (EOL) products. Since reuse and recycling can avoid manufacturing of virgin materials, life cycle options such as reuse, recycling and disposal for each part entailing manual disassembly which is in high cost, the disassembly parts selection is carried out to decision for reuse and recycling the EOL assembly product environmentally and economically. Additionally, in the reuse of an assembly product, the revenue by reusing are different among each country owing to the differences of the second-hand market prices and labor cost by disassembly among the countries. This paper proposes a life cycle option selection of disassembly parts for material-based CO2 saving rate and recovery cost with different market value. Each part is selected from reuse, recycling and disposal to harmonize the material based CO2 saving rate and the cost. First, the procedures for designing the disassembly parts selection is presented, and life cycle option selection using 0-1 integer programming with the epsilon constraint method is formulated. Next, a numerical experiment of the results of the disassembly parts selection in the case of a computer is conducted. Finally, owing to the differences of sales revenue by parts reuse in the second-hand market prices, cases of Japan and Germany are examined for establishing multi-value circulation.
Scientific journal, English - Green Procurement Decisions with Carbon Leakage by Global Suppliers and Order Quantities under Different Carbon Tax
Rena Kondo; Yuki Kinoshita; Tetsuo Yamada
SUSTAINABILITY, MDPI, 11, 13, 1-19, Jul. 2019, Peer-reviwed, Manufactures have been pressed to reduce greenhouse gas (GHG) emissions by environmental regulations and policies. Towards to reduction of GHG emissions, a carbon tax has been already introduced in 40 countries. Owing to different carbon prices among countries, there are potential risks of carbon leakage, where manufacturers transfer production operations to the countries with lower taxes to pursue lower costs. Moreover, procurement costs and GHG emissions vary by country because of economic conditions and electric energy mixes. Therefore, total GHG emissions could be globally reduced if manufactures relocate their production bases or switch suppliers in the country with lower GHG emission levels. This study proposes a green procurement decision for the supplier selection and the order quantity for minimizing GHG emission and costs considering the different carbon taxes in different countries. First, a bill of materials for each part is constructed through the life cycle inventory database with the Asian international input/output tables for a case study. Second, a green procurement decision considering the different carbon prices is formulated using integer programming. Finally, the results, including carbon leakage, are analyzed from the viewpoint of manufacturers, governments, and global perspectives.
Scientific journal, English - Integrated Design Concept for Reduction of CO2 Emission and Disposal Weight with Modularization Approach
Yuki Kinoshita; Tetsuo Yamada
Lead, Northeast Decision Science Institute 2019, 847-851, Apr. 2019
International conference proceedings, English - GHG 排出量とコストを持つグローバル調達における発注量決定法
近藤礼奈; 木下雄貴; 山田哲男; 伊坪徳宏; 井上全人
日本設備管理学会誌, 30, 4, 101-110, Feb. 2019, Peer-reviwed
Scientific journal, Japanese - Disassembly Reuse Part Selection for Recovery Rate and Cost with Lifetime Analysis
Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue; Stefan Bracke
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, FUJI TECHNOLOGY PRESS LTD, 12, 6, 822-832, Nov. 2018, Peer-reviwed, The depletion of natural resources is a critical environmental issue, and the recovery, including reuse and recycling, of end-of-life assembled products is the key to reducing the use of natural resources. However, in order to reuse or recycle an assembled product, it is essential to consider the life expectancy or material type and the weight of the parts in the product. In addition, because the assembled products comprise various parts, manual disassembly is required, which entails high costs. To recover assembled products in an environmentally friendly and economical manner, part selection for disassembly is required. A part selection method is proposed with three selection types: reuse, recycling, and disposal. First, data-set preparation is addressed. Second, the method for selecting the disassembly parts using integer programming and the epsilon constraint method is explained. Finally, numerical experiments are conducted using the proposed part selection method with a computer as a case study. Lifetime changes of the parts/product are then analyzed.
Scientific journal, English - Effect of Robust Optimization Approach on Multi-Player Multi-Objective Production Planning Problem using Linear Physical Programming
Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
16th International Logistics and Supply Chain Congress, 137-143, Oct. 2018, Peer-reviwed
International conference proceedings, English - Multi-Criteria Disassembly-To-Order System for Components and Materials with Limited Supply, Stochastic Yields and Quantity Discount
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Lead, 16th International Logistics and Supply Chain Congress, 104-111, Oct. 2018, Peer-reviwed
International conference proceedings, English - Analysis of cost effectiveness by material type for CO2 saving and recycling rates in disassembly parts selection using goal programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, Journal of Advanced Mechanical Design, Systems and Manufacturing, 12, 3, 1-18, Jul. 2018, Peer-reviwed, To address issues such as global warming and material starvation, the manufacturing should be required to pay much attention to these environmental issues. Recycling is one of the effective methods to overcome both global warming and material starvation as it reduces CO2 emissions, one of the causes of global warming, at material production stage by means of material circulation. End-of-life (EOL) products require a disassembly phase for recycling in order to separate the parts into material types, which determine the choice of operations needed for recycling. Then, manual disassembly operations are carried out because of various complex disassembly tasks, thereby leading to higher recycling costs. In order to make recycling environmentally friendly and economical, selection of disassembly parts is conducted to minimize the recycling cost and to maximize the CO2 saving rate, which is defined as the rate at which CO2 volumes can be saved by material recycling instead of producing virgin materials. Thus, disassembly parts selection is considered as a multi-criteria decision making problem. Goal programming is well known as one of the effective methods to overcome the multi-criteria decision making problem. This requires setting of tolerable and sufficient targets for each goal. The material type of the selected parts is important for recycling process. Therefore, this study proposes a bi-objective environmentally friendly and economical disassembly parts selection for minimizing the recycling cost and maximizing the CO2 saving/recycling rates by goal programming, and analyzes the results in terms of weights and cost for each material type. First, a design procedure is explored and formulated using goal programming. Next, disassembly parts selection is carried out for maximizing CO2 saving/recycling rates and minimizing recycling cost. Finally, the results are analyzed to pursue the cost effectiveness for the recycled materials for each part in order to identify bottlenecks and propose improvement plans.
Scientific journal, English - Mathematical Modeling of Multi-player Multi-objective Decision Making by Linear Physical Programming
Tomoaki Yatsuka; Aya Ishigaki; Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
2018 7TH INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2018), IEEE, 706-711, Jul. 2018, Peer-reviwed, In many real-life situations, it is necessary to optimize two or more objects simultaneously. In such problems, the objectives under consideration conflict with each other, and optimizing a solution with respect to a single objective can result in unacceptable results with respect to the other objectives. The technique of bringing two or more mutually opposite objective functions close to the desired value set up under the constraints is called goal programming. Goal programming is generally applied only to linear problems. Though nonlinear objective functions and constraints may be handled in real-life problems, a method for applying them to nonlinear goal programming is not shown clearly. The aim of this research is to design a decision-making model for solving multi-player nonlinear goal programming. The structure of nonlinear GP is similar to that of linear physical programming (LPP). LPP simplifies physical procedures because the preference functions in LPP are piecewise linear and nonlinear goal programming is solved as general GP. In this research, based on the LPP procedure to solve GP with nonlinear constraints, we design a model to deal with multi-player nonlinear GP. The part of the developed procedure corresponding to negotiation among several decision makers, called Suriawase process, was installed using the concept of robust optimization. Finally, to clarify the meaning of multi-player nonlinear GP procedure, numerical experiments using the production planning problem in the supply chain were performed.
International conference proceedings, English - Linear physical programming approach for environmentally friendly and economical material selection
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, IISE Annual Conference and Expo 2018, 965-970, May 2018, Peer-reviwed, Material selection conducted at a product design phase for assembly products determines procurement/assembly/recycling costs and environmental loads at a manufacturing planning phase. To realize products with the lower costs and environmental loads, it needs alternative material selections for the product designers by evaluating both environmental and economical aspects. This selection has trade-off relationships, and is considered as a multi criteria decision making problem. As one of the effective methods to solve the multi criteria decision making problems, Linear Physical Programming (LPP), which can obtain a solution without prioritizing different objective functions, is adopted to the trade-off problems. This study proposes an environmentally friendly and economical material selection by using LPP in order to examine the effects on the procurement, assembly and recycling costs and environmental loads for next generation products. First, by using the 3D-CAD model, information such as material types, weights and assembly/disassembly tasks for each part is grasped to construct a bill of materials including the procurement/assembly/recycling costs and environmental loads. Second, the material selection is formulated in order to reduce the costs and environmental loads simultaneously by using LPP. Finally, a case study is conducted and discussed in terms of the procurement, assembly and recycling processes.
International conference proceedings, English - Material Selection for Cost, Disposal Weight and GHG emissions by Linear Physical Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, Northeast Decision Science Institute 2018, 1-6, Apr. 2018
International conference proceedings, English - Disassembly Parts Selection for Material-based CO2 Saving Rate and Cost Considering Reuse
Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue; Stefan Brack
The 3rd International Conference on Remanufacturing, 175-188, Oct. 2017, Peer-reviwed
International conference proceedings, English - Process integration concept for waste reduction among manufacturing planning, modularization and validation
Tetsuo Yamada; Shota Hasegawa; Yuki Kinoshita; Shuho Yamada; Masato Inoue; Christoph Rosebrock; Stefan Bracke
15TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING, ELSEVIER SCIENCE BV, 21, 337-344, Sep. 2017, Peer-reviwed, Waste reduction for assembly products is essential for Circular Economy in not only European Unions but also all over the world. It is also known that recycling contributes to the waste reduction. In order to build the recycling process in a product lifecyc le effectively and efficiently, a process integration should be required among manufacturing planning, modularity design and multivariate process validation. This study proposes a process integration concept for the waste reduction among the manufacturing planning, modularization and validation. (C) 2018 The Authors. Published by Elsevier B.V.
International conference proceedings, English - Disassembly parts selection for recovery rate and cost considering reuse
Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue; Stefan Bracke
The 24th International Conference on Production Research, 486-491, Jul. 2017, Peer-reviwed, Since material starvation has become a serious issue, reuse and recycling are required to recover parts and materials from End-of-life assembled products. As the assembled products are composed of variety of parts, manual disassembly is required that has higher cost. To establish environmental and economic recycling factories, a disassembly parts selection is carried out to promote higher a recovery rate but the lower cost. The environmental and economical disassembly parts selection by material recycling and disposing has been proposed in the literature. However, the reuse for the parts has not been considered. This study proposes the disassembly parts selection with the reuse. First, data sets for the disassembly parts selection are addressed. Second, a disassembly parts selection with the reuse is formulated by using integer programming with ε constraint method. Third, behaviors of the recovery rate for the cost are observed in a case of a computer. Finally, changes of length of life time are analyzed.
International conference proceedings, English - Linear Physical Programming Oriented Approach of Reverse Supply Chain Network Design for Costs and Recycling Rate
Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Aya Ishigaki; Masato Inoue
2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI), IEEE, 959-964, Jul. 2017, Peer-reviwed, In the recent years, economic grows and population increasing bring consumptions for numerous amount of assembly products and materials resources all over the world. As the result of it, the material starvation has been getting a serious problem globally. In order to circulate materials from End-of-Life (EOL) assembly products, manufactures have to design reverse supply chain networks for the EOL products. The reverse supply chain includes transportation of the EOL products from collection centers to recovery facilities and/or a disposal facility. Then, the costs are required for recycling, transportation and facilities. Additionally, the EOL product statuses differ by users situation, and average recycling rate and cost of each product and part depend on the statues. To design the reverse supply chain network, decision maker (DM) decides transportation roots, the number of products flowed on each root and production volumes at each facility in order to minimize the total cost while maximizing the average recycling rate on the whole network. However, the relationship between the recycling rate and the costs become trade-off. Therefore, the DM has to solve them simultaneously. On the other hand, Linear Physical Programming (LPP) is known as a method to solve multi objective problems (Messac et al., 1996). It allows the DM to express his ideals as desirable ranges for each criterion. One of the most significant advantages using LPP is that the DM does not need to specify the weights for each criterion.This study designs a bi-objective reverse supply chain network to collect and recycle the EOL assembly products for the costs and the recycling rate using LPP. First, based on previous study (Ijuin et al., 2017), the reverse supply chain network is modeled to transport the EOL products from the collection centers to the recovery facilities depending on the EOL product status which includes the recycling cost and rate. Next, the reverse supply chain network is formulated with the LPP in order to minimize the total cost while maintaining the recycling rate of the whole network. Finally, a case study is conducted, the results by the LPP and the integer programming (Ijuin et al., 2017) are compared.
International conference proceedings, English - Modeling of Alternative Material Selections for Environmentally-Friendly and Economical Assembly/Disassembly Evaluations
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, Northeast Decision Science Institute 2017, 915-920, Mar. 2017
International conference proceedings, English - Analysis of material based GHG emissions and costs for assembly products using Asian lifecycle inventory databases: cell phone case study
Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Norihiro Itsubo; Masato Inoue
The 24th CIRP Conference on Life Cycle Engineering, ELSEVIER SCIENCE BV, 61, 773-778, Mar. 2017, Peer-reviwed, Global warming requires to reduce greenhouse gas (GHG) emissions in global supply chains. In order to reduce the GHG emissions in the supply chains economically, it needs to estimate the GHG emissions and costs for procuring parts for materials by life cycle assessment (LCA). This study applies the material-based estimation method for the GHG emissions and costs by Yoshizaki et al. (2016) to a cell phone, constructs a bill of materials (BOM) when the materials for parts are produced in Asian countries, and compares the material-based GHG emissions and costs in the cases of cell phone and cleaner. (C) 2017 The Authors. Published by Elsevier B.V.
International conference proceedings, English - Pricing Decision Models for Remanufactured Short-Life Cycle Technology Products with Generation Consideration
Liangchuan Zhou; Surendra M. Gupta; Yuki Kinoshita; Tetsuo Yamada
The 24th CIRP Conference on Life Cycle Engineering, ELSEVIER SCIENCE BV, 61, 195-200, Mar. 2017, Peer-reviwed, Although the analysis of remanufactured durable products dominates the environmentally conscious manufacturing research, more and more researchers try to focus on modelling short-life cycle products remanufacturing decisions. High-technology products, such as smartphones and laptops are the cases in point. Smartphone companies are opening remanufacturing facilities in third world countries to attract middle-level customers. Remanufacturing of high technology short life products can have a positive impact on the profits as well as the environment.A common strategy for the technology-intensive companies is to update their products continuously to maintain market share as well as customers' appetites for latest technologies. This creates a multiple-generational product line. When a new generation is released, the market value of the previous generation is reduced, and the price of the generation before last is decreased even more. Meanwhile, remanufactured products of each generation also come to market when they are available. This can result in complex cannibalization among various generational product lines as well as new and remanufactured products.In this study, we develop a model that addresses the issue of pricing the latest generation remanufactured products and old generation new products. The demands are time-dependent and price sensitive. The market is separated from that of the brand new product of latest generation. The system consists of a retailer and a manufacturer. Two scenarios are evaluated in the system. First, each party tries to optimize profit independently. Second, the joint profit is optimized. The results provide optimal pricing decisions in different selling periods. (C) 2017 The Authors. Published by Elsevier B.V.
International conference proceedings, English - Environmental and Economic Disassembly Parts Selection Design for Recycling, CO2 Saving Rates and Cost by Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, The 18th International Conference on Industrial Engineering, 1-8, Oct. 2016, Peer-reviwed
International conference proceedings, English - Decision making within the conceptual design phase of eco-friendly products
Stefan Bracke; Shuho Yamada; Yuki Kinoshita; Masato Inoue; Tetsuo Yamada
14th Global Conference on Sustainable Manufacturing, ELSEVIER SCIENCE BV, 8, 463-470, Oct. 2016, Peer-reviwed, A contribution for environment protection is the conceptual design of eco-friendly products, considering information of main product life cycle phases: Development, manufacturing, usage. Base of operations is product generation A, where the development is closed and the manufacturing/usage phase is ongoing. The designer of the subsequently product generation B has different possibilities to consider eco-friendly aspects and resource saving, e.g. incorporate Carry-Over-Parts, parts for reuse, upgradeable components or parts for refurbishing. The challenge for the designer is the decision complexity: He needs a lot of eco-related information of product generation A on component-level, e.g. CO2-emission, disassembly procedures, reliability information. This paper shows a concept, how to make eco-and sustainability-related decisions within the conceptual design phase of a subsequently product generation. The decision concept is explained by an automotive engineering example. (C) 2017 The Authors. Published by Elsevier B.V.
International conference proceedings, English - Disassembly parts selection and analysis for recycling rate and cost by goal programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, JAPAN SOC MECHANICAL ENGINEERS, 10, 3, 1-15, Jul. 2016, Peer-reviwed, For green supply chains, it is essential to disassemble and recycle end-of-life (EOL) assembled products for material circulation. In order to establish disassembly plants environmentally friendly and economical manner, a disassembly parts selection is often carried out. Each part has a different recycling rate and cost, and all parts have precedence relationships among disassembly tasks. Igarashi et al. (2014) [International Journal of Industrial Engineering and Management Systems, Vol.13, No.1, pp.52-66] proposed a disassembly parts selection method that is carried out in an environmentally friendly and economical manner with non-destructive or destructive disassembly with integer programming with epsilon constraint. However, calculated efforts are required to achieve optimum solutions for the epsilon constraint method. On the other hand, goal programming is well known as an effective way to solve multi-criteria decision-making problems. This study proposes a bi-objective disassembly parts selection with recycling rate and cost using goal programming, and analyzes multiple types of EOL assembled products and disassembly parts selection. First, an environmentally friendly and economical disassembly parts selection is addressed using a 3D-CAD and Recyclability Evaluation Method (REM) developed by Hitachi Ltd. Next, the environmentally friendly and economical disassembly parts selection is formulated with goal programming Finally, a case study is quantitatively discussed by comparing different types of assembled products and goal programming parameters. It is demonstrated that the proposal method by goal programming in this study finds the same solutions with the lower number of numerical experiments as that with the epsilon constraint method.
Scientific journal, English - Disassembly Parts Selection for Environmental Loads and Cost by Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Norihiro Itsubo; Masato Inoue
Lead, Northeast Decision Science Institute 2016, 1-7, Mar. 2016
International conference proceedings, English - Analysis of Environmental and Economic Disassembly Parts Selection by Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Procedia CIRP, Elsevier BV, 40, 162-167, Sep. 2015
Scientific journal - Disassembly System Design with Environmental and Economic Parts Selection using Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, International Conference on Remanufacturing 2015, 219-226, Jun. 2015, Peer-reviwed
International conference proceedings, English - A Multi-objective Problem for Product and System Design in Assembly and Disassembly
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Lead, Northeast Decision Science Institute 201, 1-6, Mar. 2015
International conference proceedings, English
MISC
- 持続可能な生産のための環境性と経済性の満足化
木下雄貴
Lead, Jan. 2024, 経営システム, 33, 2, 166-171, Japanese, Invited, Others - Construction of IoT Business Model for Glocal Supply and Remanufacturing Chains with Carbon Tax and Economic Partnership
Yamada Tetsuo; Kinoshita Yuki; Nagasawa Keisuke; Yamada Shuho; Inoue Masato; Kitada Hirotsugu; Ishigaki Aya
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS, 15 Oct. 2020, SYSTEMS, CONTROL AND INFORMATION, 64, 10, 394-402, Japanese, Peer-reviwed, Invited, Introduction scientific journal, 0916-1600, 2424-1806, 130008024896, AN10062329
Books and other publications
- Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order
Haruto Takeshita; Yuki Kinoshita; Tetsuo Yamada
English, Contributor, Carbon Tax Refund Model of Reverse Supply Chain Network to Maximize GHG Reduction and Minimize Costs, 495p., pp.342-348, Springer, Dec. 2024, Peer-reviwed - Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order
Kotaro Akino; Yuki Kinoshita; Shuho Yamada; Tetsuo Yamada
English, Contributor, Upgrade-Remanufacturing Option Selection for GHG Saving Rate and Profit Using 0–1 Integer Programming, 495p, pp.328-333, Springer, Dec. 2024, Peer-reviwed - Proceedings of industrial engineering and management : International Conference on Smart Manufacturing, Industrial and Logistics Engineering and Asian Conference of Management Science and Applications
Miyu Kotegawa; Yuki Kinoshita; Tetsuo Yamada
English, Contributor, Mix and Single Carbon Policy Evaluations for Cost-Effectiveness of GHG Reduction in Global Supply Chain Network, 830p., pp.677-684, Springer, May 2024, Peer-reviwed, 9789819701933 - Responsible Manufacturing: Issues Pertaining to Sustainability
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Contributor, Environmentally Friendly and Economical Disassembly Parts Selection for Material Recycling by Goal Programming, CRC Press, Feb. 2019, 9780815375074 - Technologies and Eco-innovation towards Sustainability II
Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Norihiro Itsubo; Masato Inoue
Contributor, Effects of Carbon Tax on Low-Carbon and Economic Supplier Selection for Asian Assembly Product, Springer, Jan. 2019, 9789811311956
Lectures, oral presentations, etc.
- カーボンニュートラルとサーキュラーエコノミーの潮流と課題―サプライチェーンと分解生産システムの統合による資源循環―
木下雄貴
Invited oral presentation, Japanese, 公益社団法人日本経営工学会 中国四国支部学生論文発表会, Invited
Feb. 2025 - Carbon Reduction Design Under Carbon Tax Levy and Refund Policy in Global Closed-Loop Supply Chain Network
Haruto Takeshita; Yuki Kinoshita; Tetsuo Yamada
Oral presentation, English, 20th Global Conference on Sustainable Manufacturing
Oct. 2024 - Disassembly Production Design to Combat Information Security Risks in Remanufactured IoT Products
Yuki Kinoshita
Oral presentation, English, 20th Global Conference on Sustainable Manufacturing, Peer-reviewed
Oct. 2024 - 再製造品の補償不正発見器開発のためのデータ収集と実験計画
木下雄貴
Oral presentation, Japanese, 公益社団法人日本経営工学会2024年秋季大会
Oct. 2024 - Sustainable Manufacturing Challenges and Approaches: Material Circulation with Integration of Supply Chain and Disassembly
Yuki Kinoshita
Keynote oral presentation, English, The 5th Asia Pacific Conference on Industrial Engineering and Operations Management, Invited
Sep. 2024 - Upgrade-Remanufacturing Option Selection for GHG Saving Rate and Profit Using 0-1 Integer Programming
Kotaro Watanabe; Yuki Kinoshita; Shuho Yamada; Tetsuo Yamada
Oral presentation, English, The 33rd International Conference on Flexible Automation and Intelligent Manufacturing, Peer-reviewed
Jun. 2024 - Carbon Tax Refund Model of Reverse Supply Chain Network to Maximize GHG Reduction and Minimize Costs
Haruto Takeshita; Yuki Kinoshita; Tetsuo Yamada
Oral presentation, English, The 33rd International Conference on Flexible Automation and Intelligent Manufacturing, Peer-reviewed
Jun. 2024 - 2-Stage Planning of E-moped Sharing Service and Analysis of GHG Emissions, Cost and Accessibility
髙橋清悟; 木下雄貴; Schelte Nora; Spelten Thomas; Severengiz Semih; 山田哲男
Oral presentation, English, 公益社団法人日本経営工学会2024年春季大会
May 2024 - サステナブル生産のための環境負荷とコストの多目的評価
木下雄貴
Invited oral presentation, Japanese, 日本オペレーションズ・リサーチ学会 「ＳＣＭ＆サービス工学」支部研究部会/日本経営システム学会 イノベーション指向データ分析研究会, Invited
Jan. 2024 - Mix and Single Carbon Policy Evaluations for Cost-Effectiveness of GHG Reduction in Global Supply Chain Network
Miyu Kotegawa; Yuki Kinoshita; Tetsuo Yamada
Oral presentation, English, The 7th Asian Conference of Management Science and Applications, Peer-reviewed
Dec. 2023 - 温室効果ガスの回収による炭素税還付を考慮したリバースサプライチェーンネットワークのモデル化
竹下温人; 古手川美結; 伊集院大将; 木下雄貴; 山田哲男
Oral presentation, Japanese, 2023年度日本設備管理学会秋季研究発表大会
Oct. 2023 - 環境負荷と経済性を考慮したライフサイクルオプション選択に関する一考察
渡辺航太朗; 伊集院大将; 木下雄貴; 高橋清悟; 高田晃彦; 山田哲男
Oral presentation, Japanese, 2023年度日本設備管理学会秋季研究発表大会
Oct. 2023 - セル生産の作業者配置における検証実験の設計と有効性の検証に関する研究
原口春海; 遠藤萌; 木下雄貴
Oral presentation, Japanese, 2023年度日本設備管理学会秋季研究発表大会
Oct. 2023 - Remanufacturing and Warranty Service Design to Deal with Security Issues towards Circular Economy
Yuki Kinoshita
Public symposium, English, 27th International Conference on Production Research Early Career Researchers Programme
21 Jul. 2023- 23 Jul. 2023 - サーキュラーエコノミー志向の生産・サービスシステムのためのセキュリティ課題
木下雄貴
Oral presentation, Japanese, 公益社団法人日本経営工学会2023年春季大会
Jun. 2023 - 円滑な学級運営のための座席配置の最適化
中村太信; 木下雄貴; 山田哲男
Oral presentation, Japanese, 2023年度日本設備管理学会春季研究発表大会
Jun. 2023 - 炭素税と環太平洋経済連携協定を考慮したグローバル・サプライチェーンネットワークの設計
林克典; 長沢啓佑; 木下雄貴; 松本諒平; 山田哲男
Oral presentation, Japanese, 2020年度日本設備管理学会春季研究発表大会
Jun. 2020 - ウェブ古着再生販売のビジネスプロセスの可視化に関する事例研究
長谷美達彦; 山田哲男; 鈴木惠大; 木下雄貴
Oral presentation, Japanese, 公益社団法人日本経営工学会2020年春季大会
Mar. 2020 - 機械学習を用いた再生販売プロセスのリードタイム予測に関する事例研究
酒井啓輔; 山田哲男; 仲田知弘; 木下雄貴; 中嶋良介; 松本諒平
Oral presentation, Japanese, 2019年度日本設備管理学会秋季研究発表大会
Nov. 2019 - Sustainability of Material and Component for Disposal and Greenhouse Gas Reductions by Disassembly using Multi-Objective Decision Makings
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Oral presentation, English, 17th Global Conference on Sustainable Manufacturing
Oct. 2019 - 機械学習を用いた再生販売プロセスのリードタイム分析について
酒井啓輔; 北野祐太; 木下雄貴; 山田哲男; 中嶋良介; 仲田知弘
Oral presentation, Japanese, 公益社団法人日本経営工学会2019年秋季大会
Sep. 2019 - Concept of Material Recovery Planning with CO2 Emissions, Recycling Rate and Cost in Design, Assembly and Disassembly
Yuki Kinoshita; Tetsuo Yamada
Oral presentation, English, 公益社団法人日本経営工学会2019秋季大会
Sep. 2019 - Challenges of Material Recovery Planning with Multi Criteria Decision Making for Recycling Rate, CO2 Emissions and Cost among Design, Assembly and Disassembly
Yuki Kinoshita
Public discourse, English, The 4th International Workshop for Green Supply Chain
Jul. 2019 - 製品のモジュール化と素材選択を考慮した分解生産システムの設計課題
木下雄貴; 山田哲男
Oral presentation, Japanese, 公益社団法人日本経営工学会 2019春季大会
Mar. 2019 - 線形物理的計画法によるコストと環境負荷を考慮した受注分解システムの生産計画について
木下雄貴; 山田哲男; Surendra M. Gupta
Oral presentation, Japanese, 公益社団法人日本経営工学会 生産・物流部門第6回産学交流ワークショップ
Mar. 2019 - Solving the Disassembly-To-Order Problem for Components and Materials under Stochastic Yields, Limited Supply, and Quantity Discount using Linear Physical Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
Oral presentation, English, 16th Global Conference on Sustainable Manufacturing, Peer-reviewed
Oct. 2018 - Multiple-criteria Decision Making for Environmentally Friendly and Economical Material Selection
Yuki Kinoshita
Nominated symposium, English, 4th Symposium on Computational Reliability Engineering (CRE) in Product Development and Manufacturing, Invited
Sep. 2018 - 多目的問題への物理的計画法の適用
伊集院大将; 木下雄貴; 山田哲男; 石垣綾
Oral presentation, Japanese, 公益社団法人日本経営工学会2018年春季大会
May 2018 - Effects of Different Carbon Tax among Asian Countries on Low-carbon and Economic Supplier Selection
Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
Oral presentation, English, Northeast Decision Sciences Institute 2018 Annual Conference
Apr. 2018 - Design of Multi-player Multi-objective Decision Support System using a Linear Physical Programming Approach
Tomoaki Yatsuka; Riku Yamagata; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
Poster presentation, English, Northeast Decision Sciences Institute 2018 Annual Conference
Apr. 2018 - Design Problem of Reverse Supply Chain Network for Cost, Recycling Rate and Recovered Material Weight using Linear Physical Programming
Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Aya Ishigaki; Masato Inoue
Oral presentation, English, The 5th International Workshop on Production and Logistics, JIMA Production and Logistics Research Division
Mar. 2018 - ERPコンピエールを用いた環境経営情報のモデル化
徐風静; 山田哲男; 木下雄貴
Oral presentation, Japanese, 公益社団法人日本経営工学会2017年秋季大会
Nov. 2017 - Environmentally Friendly and Economically Decision Support Tool for Alternative Material Selection
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Public symposium, English, The 24th International Conference on Production Research Doctoral Workshop
28 Jul. 2017- 30 Jul. 2017 - 環境負荷およびコストを持つ組立・分解システムのモデル化と素材選択
木下雄貴; 山田哲男; 井上全人
Oral presentation, Japanese, 公益社団法人日本経営工学会生産物流部門第5回産学交流ワークショップ
Mar. 2017 - リユースを考慮した分解部品選択問題
長谷川翔太; 山田哲男; 木下雄貴; 井上全人
Oral presentation, Japanese, 日本機械学会生産システム部門研究発表講演会2017
Mar. 2017 - ライフサイクルインベントリデータベースを用いたアジア製組立製品のサプライヤー選択
近藤礼奈; 木下雄貴; 山田哲男; 伊坪徳宏; 井上全人
Oral presentation, Japanese, 日本設備管理学会平成28年度秋季研究発表大会
Nov. 2016 - Effect on Assembly/Disassembly Costs by Environmentally Friendly Material Selection
Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
Oral presentation, English, The 4th International Workshop on Production and Logistics
Oct. 2016 - Material Analysis of Disassembly Parts Selection for CO2 Saving Rate and Recycling Costs by Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Poster presentation, English, Global Biotechnology Congress 2016
Aug. 2016 - 製品改善案を持つ組立・分解システム設計の統合と課題について
木下雄貴; 山田哲男
Oral presentation, Japanese, 公益社団法人日本経営工学会2016年春季大会
May 2016 - 組立・分解システム設計の統合化による代替製品設計案の評価と課題
木下雄貴; 山田哲男
Oral presentation, Japanese, 公益社団法人日本経営工学会生産物流部門第4回産学交流ワークショップ
Mar. 2016 - Disassembly Parts Selection for Recycling Rate and Cost by Goal Programming
Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
Oral presentation, English, The 3rd International Workshop on Production and Logistics
Oct. 2015 - 製品の違いによる作業コストと組立・分解システムの比較考察
木下雄貴; 山田哲男; 浦田智幸; 山田周歩; 井上全人
Oral presentation, Japanese, 日本設備管理学会平成26年秋季研究発表大会
Nov. 2014
Courses
- Computer Literacy
Apr. 2025 - Present
The University of Electro-Communications - Mathematics for Information Processing
Sep. 2023 - Present
Kindai University - Inferential Statistics
Sep. 2023 - Present
Kindai University - Information Security
Apr. 2023 - Present
Kindai University - Fundamental Practice of Informatics
Sep. 2023 - Mar. 2025
Kindai University - Computer Programming Practice Ⅰ
Sep. 2023 - Mar. 2025
Kindai University - Practice in Information Processing Ⅰ
Apr. 2023 - Sep. 2024
Kindai University - Freshman Seminar
Apr. 2023 - Sep. 2024
Kindai University - Seminar for Graduation Thesis
Sep. 2023 - Mar. 2024
Kindai University - 計算機実習II
Oct. 2018 - Mar. 2019
青山学院大学
Affiliated academic society
Research Themes
- Development of Weather-Driven Supply Chain GX Support System by AI and Mathematical Collaboration for Renewable Energy and Remanufacturing
山田 哲男; 岡本 一志; 山田 周歩; 長沢 敬祐; 北田 皓嗣; 井上 全人; 石垣 綾
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Scientific Research (B), Coinvestigator, 本年度は、インパクトファクターや国際共著を含む査読付き論文6件、オーガナイズを含む国際・国内会議19件と図書2件で発表し、講演会開催と国際会議発表による受賞3件があった。
(1) 再エネ予測エンジンとAI調整による作業スケジューラの開発 複数のタスクが存在する状況において、各タスクのスキル・雇用コスト・チームサイズ・重複制約の4種類の制約条件を全て満たすチームを、ワーカプールから同時に形成する手法を開発した。また、太陽光発電を有する施設の電力需給マネジメントにおいて、ジョブ・ショップ制御方策を用いた蓄電池併用時の買電・充電切換えシミュレーション法を提案するとともに、ある物流センターの実消費電力量と太陽光仮想発電量について季節や時間帯の特性やオンデマンド流動数管理法の効果を、事例を通じて分析した。 (2) 再エネ途絶サプライチェーンの設計 生産・再製造システムにおけるSDGsの考慮を念頭に、地方創生や再生可能エネルギー材料の温室効果ガス排出量規制、COVID-19によるサプライヤー途絶、輸送の遅延、CSRや労働人口の変動といったリスクを考慮して、サプライチェーンの強靭化を目的とする循環型サプライチェーン設計のモデル化を行った。また、製造・再製造工程の意思決定を自動的に調整し、回収品の価値を判別する過程を組み込んだサプライチェーンを設計した。 (3) 国境炭素税とLCAによる製品・SDGs経営のデザイン SDGs経営については、化学産業企業を対象としたmixed methodologyを用いたサーキュラーエコノミーに関する情報開示の傾向と、その背景にある企業のマネジメント活動について分析を行った。製品・物流デザインについては、環境性と経済性の観点を同時に考慮することで、複数の製品アーキテクチャ候補を絞り込むことが可能なシステムを提案するとともに、サプライチェーンにおけるDesign for Logistics（DfL）に関して国内20事例の調査・分析を行った。, 23K26329
Apr. 2023 - Mar. 2027 - Development of Material Selection System for Trade-Off between Environmental Loads and Costs using Multi-Criteria Decision Making
木下 雄貴
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows, The University of Electro-Communications, Grant-in-Aid for JSPS Fellows, 本年度は，環境負荷とコストの多目的評価による材料決定支援システムの開発と，材料種類を考慮した分解生産計画法の構築を行った． ①温室効果ガスと調達コストの算出ツールの開発 環境負荷とコストの多目的材料決定支援システムでは，各材料に依存する温室効果ガスと調達コストを算出する必要がある．しかし，専門的な知識に加え，データの入力や確認に多くの時間や労力が必要だった．そこで，温室効果ガスと調達コストの算出を容易にするツールの開発を行った．これにより，部品の材料種類と重量を入力するだけで，温室効果ガスと調達コストを自動的に同時に算出できることが可能になり，算出時間を平均25分間削減することができた． ②材料決定支援システムの開発 環境負荷とコスト評価に多目的意思決定手法であるGoal Programming(GP)を適用し，材料決定支援システムの開発を行った．GPの適用により，嗜好範囲を変更するだけで複数の材料を列挙できるため，各候補材料を比較しながら設計の検討を可能にした．また本システムは，各部品の材料種類と重量のみを入力データとするため，初期の製品設計における材料の検討に有効であることを示した． ③受注分解生産システムにおける多目的生産計画法の構築 材料決定支援システムにより，低環境負荷かつ低コストの材料決定を可能にしたが，再生可能な使用済み製品が廃棄されてしまうと，天然資源の消費と温室効果ガスの排出が生じてしまう．そのため，材料の種類を考慮した分解生産計画法の構築を行った．はじめに，多目的意思決定手法であるLinear Physical Programming(LPP)を適用し，利益や廃棄コストといった複数の目標を同時に満足する生産計画の立案を可能にした．次に，パソコンの製品例を用いて，材料種類を考慮した生産計画が可能なことを示した．, 18J14789
25 Apr. 2018 - 31 Mar. 2020 - Environmental Management Information Oriented Integration and Satisficing of Closed-Loop and Low Carbon Supply Chains
Yamada Tetsuo; YURA Kenji; KOKUBU Katsuhiko; NAKAJIMA Michiyasu; KINOSHITA Yuki; YAMADA Shuho
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), The University of Electro-Communications, Grant-in-Aid for Scientific Research (B), To promote recycling and CO2 reduction for assembly products such as computers, vacuum cleaners and cell phones, modeling and satisfising for environmental and economical loads were conducted by integrating closed-loop/low-carbon supply chain and product lifecycle. Design and management methodologies were proposed for upgrading, disassembly part selection, global and reverse supply chain networks, manufacturing-remanufacturing system and management control system. It demonstrated that there was a case which accomplished improvement of recycling rate and reduction of CO2/cost simultaneously. Moreover, international joint researches with American, German and British universities were conducted, and an international workshop for green supply chain was held in Tokyo, Japan., 26282082
01 Apr. 2014 - 31 Mar. 2019 - Material Decision Support System with Environmental Loads and Costs of Assembly/Disassembly by Linear Physical Programming
Yuki KINOSHITA
Japan Society for the Promotion of Science, Overseas Challenge Program for Young Researchers, Northeastern University, Principal investigator
Mar. 2018 - May 2018
Academic Contribution Activities
- Gust editor "ACMSA 2023 Sustainable Manufacturing and Services through AI and Mathematical Collaboration to Meet Sustainable Development Goals" in Asian Journal of Management Science and Applications
Peer review etc, Peer review, Inderscience, Jun. 2024 - Present - Journal of Advanced Mechanical Design, Systems and Manufacturing
Peer review etc, Peer review, Japan Society of Mechanical Engineers, Jul. 2022 - Present - Journal of Japan Industrial Management Association
Peer review etc, Peer review, Japan Industrial Management Association, Apr. 2021 - Present
