詳細

木下　雄貴 （キノシタ　ユウキ）

  • 工学部 情報学科　助教
Last Updated :2024/04/25

コミュニケーション情報 byコメンテータガイド

  • コメント

    持続可能な生産システム設計を研究しています。具体的には、CO₂排出量、リサイクル率やコストなどを多目的最適化で同時に満足するサプライチェーン設計や、分解生産システム設計を行っています。

研究者情報

ホームページURL

科研費研究者番号

  • 30980198

J-Global ID

研究キーワード

  • 経営工学   カーボンニュートラル   多目的意思決定   サービスオペレーション   分解生産計画   サプライチェーン   環境配慮型生産   

現在の研究分野（キーワード）

    持続可能な生産システム設計を研究しています。具体的には、CO₂排出量、リサイクル率やコストなどを多目的最適化で同時に満足するサプライチェーン設計や、分解生産システム設計を行っています。

研究分野

  • 社会基盤（土木・建築・防災） / 安全工学
  • 社会基盤（土木・建築・防災） / 社会システム工学

経歴

  • 2023年04月 - 現在  近畿大学工学部 情報学科助教
  • 2020年04月 - 2023年03月  セコム株式会社IS研究所研究員
  • 2018年04月 - 2020年03月  独立行政法人日本学術振興会特別研究員(DC2)

学歴

  • 2017年04月 - 2020年03月   電気通信大学   大学院情報理工学研究科   情報学専攻
  • 2015年04月 - 2017年03月   電気通信大学   大学院情報理工学研究科   総合情報学専攻
  • 2011年04月 - 2015年03月   電気通信大学   情報理工学部   総合情報学科

所属学協会

  • 日本設備管理学会   日本オペレーションズ・リサーチ学会   日本LCA学会   日本経営工学会   

研究活動情報

論文

  • Keisuke NAGASAWA; Yuki KINOSHITA; Katsumi MORIKAWA; Katsuhiko TAKAHASHI
    Journal of Advanced Mechanical Design, Systems, and Manufacturing 17 5 JAMDSM0059 - JAMDSM0059 2023年09月 [査読有り]
  • Modeling of Disassembly Parts Selection for Recycling, GHG Saving Rates and Cost using Linear Physical Programming
    Yuki Kinoshita; Hiromasa Ijuin; Tetsuo Yamada
    2023年07月 [査読有り]
  • Yuki Kinoshita; Takaki Nagao; Hiromasa Ijuin; Keisuke Nagasawa; Tetsuo Yamada; Surendra M. Gupta
    Logistics 7 2 32 - 32 2023年06月 [査読有り]
     
    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.
  • Integrating Global and Closed-Loop Supply Chains to Minimize Costs and GHG Emissions using LPP
    Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada
    2023年03月
  • IJUIN Hiromasa; KINOSHITA Yuki; YAMADA Tetsuo; ISHIGAKI Aya
    Journal of Japan Industrial Management Association 72 4E 259 - 271 2022年01月 [査読有り]
     
    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.
  • Jaeho Han; Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Shuho Yamada; Masato Inoue
    RECYCLING 6 3 2021年09月 [査読有り]
     
    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.
  • Tetsuo Yamada; Yusuke Suzuki; Yuki Kinoshita; Tadayuki Masui; Norihiro Itsubo; Masato Inoue
    International Journal of Sustainable Manufacturing 5 1 23 - 43 2021年07月 [査読有り]
     
    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.
  • 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 32 4 99 - 111 日本設備管理学会 2021年02月 [査読有り]
  • Kazuki Yoda; Hayate Irie; Yuki Kinoshita; Tetsuo Yamada; Shuho Yamada; Masato Inoue
    INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY 14 6 930 - 942 2020年11月 [査読有り]
     
    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.
  • Tomoaki Yatsuka; Aya Ishigaki; Surendra M. Gupta; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY 14 5 723 - 733 2020年09月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 224 2020年06月 [査読有り]
     
    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.
  • 梅田 浩平; 近藤 礼奈; 木下 雄貴; 山田 哲男; 山田 周歩; 井上 全人
    設計工学 55 4 277 - 294 公益社団法人 日本設計工学会 2020年04月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
    International Journal of Sustainable Manufacturing 4 2-4 121 - 149 2020年04月 [査読有り]
     
    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.
  • 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 2020年03月
  • 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 2019年12月 [査読有り]
  • 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 2019年11月
  • Ijuin Hiromasa; Kinoshita Yuki; Yamada Tetsuo; Ishigaki Aya; Inoue Masato
    International Journal of Smart Computing and Artificial Intelligence 3 2 57 - 76 2019年11月 [査読有り]
  • Hayate Irie; Yuki Kinoshita; Tetsuo Yamada
    Sustainable Manufacturing - Hand in Hand to Sustainability on Globe: Proceedings of the 17th Global Conference on Sustainable Manufacturing 43 306 - 313 2019年10月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
    25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing 39 1597 - 1606 2019年08月 [査読有り]
     
    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.
  • Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, Procedia Manufacturing 39 1649 - 1657 2019年08月 [査読有り]
     
    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.
  • Tomoaki Yatsuka; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    American Journal of Operations Research 9 4 175 - 191 2019年07月 [査読有り]
  • Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Stefan Bracke
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 213 229 - 242 2019年07月 [査読有り]
     
    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.
  • Rena Kondo; Yuki Kinoshita; Tetsuo Yamada
    SUSTAINABILITY 11 13 2019年07月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada
    Northeast Decision Science Institute 2019 847 - 851 2019年04月
  • 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 2019年02月 [査読有り]
  • Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue; Stefan Bracke
    INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY 12 6 822 - 832 2018年11月 [査読有り]
     
    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.
  • 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 2018年10月 [査読有り]
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
    16th International Logistics and Supply Chain Congress 104 - 111 2018年10月 [査読有り]
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    Journal of Advanced Mechanical Design, Systems and Manufacturing 12 3 2018年07月 [査読有り]
     
    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.
  • Tomoaki Yatsuka; Aya Ishigaki; Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    2018 7TH INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2018) 706 - 711 2018年07月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    IISE Annual Conference and Expo 2018 965 - 970 2018年05月 [査読有り]
     
    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.
  • Material Selection for Cost, Disposal Weight and GHG emissions by Linear Physical Programming
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    Northeast Decision Science Institute 2018 2018年04月
  • 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 2017年10月 [査読有り]
  • Tetsuo Yamada; Shota Hasegawa; Yuki Kinoshita; Shuho Yamada; Masato Inoue; Christoph Rosebrock; Stefan Bracke
    15TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING 21 337 - 344 2017年09月 [査読有り]
     
    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.
  • Shota Hasegawa; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue; Stefan Bracke
    The 24th International Conference on Production Research 486 - 491 2017年07月 [査読有り]
     
    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.
  • Hiromasa Ijuin; Yuki Kinoshita; Tetsuo Yamada; Aya Ishigaki; Masato Inoue
    2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI) 959 - 964 2017年07月 [査読有り]
     
    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.
  • Modeling of Alternative Material Selections for Environmentally-Friendly and Economical Assembly/Disassembly Evaluations
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    Northeast Decision Science Institute 2017 915 - 920 2017年03月
  • Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Norihiro Itsubo; Masato Inoue
    The 24th CIRP Conference on Life Cycle Engineering 61 773 - 778 2017年03月 [査読有り]
     
    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.
  • Liangchuan Zhou; Surendra M. Gupta; Yuki Kinoshita; Tetsuo Yamada
    The 24th CIRP Conference on Life Cycle Engineering 61 195 - 200 2017年03月 [査読有り]
     
    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.
  • 伊集院 大将; 山田 哲男; 石垣 綾; 木下 雄貴; 井上 全人
    日本設備管理学会誌 28 4 147 - 159 2017年02月 [査読有り]
  • 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
    The 18th International Conference on Industrial Engineering 2016年10月 [査読有り]
  • Stefan Bracke; Shuho Yamada; Yuki Kinoshita; Masato Inoue; Tetsuo Yamada
    14th Global Conference on Sustainable Manufacturing 8 463 - 470 2016年10月 [査読有り]
     
    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.
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING 10 3 2016年07月 [査読有り]
     
    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.
  • Disassembly Parts Selection for Environmental Loads and Cost by Goal Programming
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Norihiro Itsubo; Masato Inoue
    Northeast Decision Science Institute 2016 2016年03月
  • 木下 雄貴; 山田 哲男; 浦田 智幸; 山田 周歩; 井上 全人
    日本設備管理学会誌 27 4 131 - 144 2016年02月 [査読有り]
  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    13th Global Conference on Sustainable Manufacturing – Decoupling Growth from Resource Use 40 162 - 167 2016年 [査読有り]
     
    The closed-loop supply chains that consist of forward and reverse flows require disassembly systems that recycle the end of life assembly products. To operate recycling factories economically and environmentally, a disassembly parts selection is often carried out. Igarashi et al. (2014) proposed the environmental and economic disassembly parts selection using Recyclability Evaluation Method by Integer Programming with the e constraint method, and Kinoshita et al. (2015) adopted Goal Programming to this bi-objective problem.This study adopts the environmental and economic disassembly parts selection using Goal Programming proposed by Kinoshita et al. (2015) to cell phone, and validates the design method by analyzing the product example. First, the design procedure among products is explained. Second, the method is applied to cell phone in order to analyze the common and different characteristics. Finally, the results are compared to Igarashi et al. (2014) and Kinoshita et al. (2015). (C) 2016 The Authors. Published by Elsevier B.V.
  • 浦田 智幸; 山田 哲男; 五十嵐 健人; 井上 全人; 木下 雄貴
    日本設備管理学会誌 27 3 82 - 91 2015年10月 [査読有り]
  • Disassembly System Design with Environmental and Economic Parts Selection using Goal Programming
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    International Conference on Remanufacturing 2015 219 - 226 2015年06月 [査読有り]
  • A Multi-objective Problem for Product and System Design in Assembly and Disassembly
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    Northeast Decision Science Institute 201 2015年03月

書籍

  • Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta (担当:分担執筆範囲:Environmentally Friendly and Economical Disassembly Parts Selection for Material Recycling by Goal Programming)CRC Press 2019年02月 ISBN: 9780815375074
  • Technologies and Eco-innovation towards Sustainability II
    Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Norihiro Itsubo; Masato Inoue (担当:分担執筆範囲:Effects of Carbon Tax on Low-Carbon and Economic Supplier Selection for Asian Assembly Product)Springer 2019年01月 ISBN: 9789811311956

講演・口頭発表等

  • 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  [通常講演]
    竹下温人; 古手川美結; 伊集院大将; 木下雄貴; 山田哲男
    2023年度日本設備管理学会秋季研究発表大会 2023年10月 口頭発表（一般）
  • 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  [通常講演]
    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
    2023年度日本設備管理学会秋季研究発表大会 2023年10月 口頭発表（一般）
  • 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  [通常講演]
    原口春海; 遠藤萌; 木下雄貴
    2023年度日本設備管理学会秋季研究発表大会 2023年10月 口頭発表（一般）
  • Remanufacturing and Warranty Service Design to Deal with Security Issues towards Circular Economy  [通常講演]
    Yuki Kinoshita
    27th International Conference on Production Research Early Career Researchers Programme シンポジウム・ワークショップパネル（公募）
  • 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  [通常講演]
    木下雄貴
    公益社団法人日本経営工学会2023年春季大会 2023年06月 口頭発表（一般）
  • 円滑な学級運営のための座席配置の最適化  [通常講演]
    中村太信; 木下雄貴; 山田哲男
    2023年度日本設備管理学会春季研究発表大会 2023年06月 口頭発表（一般）
  • 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  [通常講演]
    長谷美達彦; 山田哲男; 鈴木惠大; 木下雄貴
    公益社団法人日本経営工学会2020年春季大会 2020年03月 口頭発表（一般）
  • 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  [通常講演]
    酒井啓輔; 山田哲男; 仲田知弘; 木下雄貴; 中嶋良介; 松本諒平
    2019年度日本設備管理学会秋季研究発表大会 2019年11月 口頭発表（一般）
  • Sustainability of Material and Component for Disposal and Greenhouse Gas Reductions by Disassembly using Multi-Objective Decision Makings  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
    17th Global Conference on Sustainable Manufacturing 2019年10月 口頭発表（一般）
  • 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  [通常講演]
    酒井啓輔; 北野祐太; 木下雄貴; 山田哲男; 中嶋良介; 仲田知弘
    公益社団法人日本経営工学会2019年秋季大会 2019年09月 口頭発表（一般）
  • Concept of Material Recovery Planning with CO2 Emissions, Recycling Rate and Cost in Design, Assembly and Disassembly  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada
    公益社団法人日本経営工学会2019秋季大会 2019年09月 口頭発表（一般）
  • Challenges of Material Recovery Planning with Multi Criteria Decision Making for Recycling Rate, CO2 Emissions and Cost among Design, Assembly and Disassembly  [招待講演]
    Yuki Kinoshita
    The 4th International Workshop for Green Supply Chain 2019年07月 公開講演，セミナー，チュートリアル，講習，講義等
  • 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  [通常講演]
    木下雄貴; 山田哲男
    公益社団法人日本経営工学会 2019春季大会 2019年03月 口頭発表（一般）
  • 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  [通常講演]
    木下雄貴; 山田哲男; Surendra M. Gupta
    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 2019年03月 口頭発表（一般）
  • Solving the Disassembly-To-Order Problem for Components and Materials under Stochastic Yields, Limited Supply, and Quantity Discount using Linear Physical Programming  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta
    16th Global Conference on Sustainable Manufacturing 2018年10月 口頭発表（一般）
  • Multiple-criteria Decision Making for Environmentally Friendly and Economical Material Selection  [招待講演]
    Yuki Kinoshita
    4th Symposium on Computational Reliability Engineering (CRE) in Product Development and Manufacturing 2018年09月 シンポジウム・ワークショップパネル（指名）
  • 多目的問題への物理的計画法の適用  [通常講演]
    伊集院大将; 木下雄貴; 山田哲男; 石垣綾
    公益社団法人日本経営工学会2018年春季大会 2018年05月 口頭発表（一般）
  • Effects of Different Carbon Tax among Asian Countries on Low-carbon and Economic Supplier Selection  [通常講演]
    Rena Kondo; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    Northeast Decision Sciences Institute 2018 Annual Conference 2018年04月 口頭発表（一般）
  • Design of Multi-player Multi-objective Decision Support System using a Linear Physical Programming Approach  [通常講演]
    Tomoaki Yatsuka; Riku Yamagata; Aya Ishigaki; Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    Northeast Decision Sciences Institute 2018 Annual Conference 2018年04月 ポスター発表
  • 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
    The 5th International Workshop on Production and Logistics, JIMA Production and Logistics Research Division 2018年03月 口頭発表（一般）
  • ERPコンピエールを用いた環境経営情報のモデル化  [通常講演]
    徐風静; 山田哲男; 木下雄貴
    公益社団法人日本経営工学会2017年秋季大会 2017年11月 口頭発表（一般）
  • Environmentally Friendly and Economically Decision Support Tool for Alternative Material Selection  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    The 24th International Conference on Production Research Doctoral Workshop シンポジウム・ワークショップパネル（公募）
  • 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
    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 2017年03月 口頭発表（一般）
  • リユースを考慮した分解部品選択問題  [通常講演]
    長谷川翔太; 山田哲男; 木下雄貴; 井上全人
    日本機械学会生産システム部門研究発表講演会2017 2017年03月 口頭発表（一般）
  • 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  [通常講演]
    近藤礼奈; 木下雄貴; 山田哲男; 伊坪徳宏; 井上全人
    日本設備管理学会平成28年度秋季研究発表大会 2016年11月 口頭発表（一般）
  • Effect on Assembly/Disassembly Costs by Environmentally Friendly Material Selection  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Masato Inoue
    The 4th International Workshop on Production and Logistics 2016年10月 口頭発表（一般）
  • Material Analysis of Disassembly Parts Selection for CO2 Saving Rate and Recycling Costs by Goal Programming  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    Global Biotechnology Congress 2016 2016年08月 ポスター発表
  • 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  [通常講演]
    木下雄貴; 山田哲男
    公益社団法人日本経営工学会2016年春季大会 2016年05月 口頭発表（一般）
  • 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  [通常講演]
    木下雄貴; 山田哲男
    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 2016年03月 口頭発表（一般）
  • Disassembly Parts Selection for Recycling Rate and Cost by Goal Programming  [通常講演]
    Yuki Kinoshita; Tetsuo Yamada; Surendra M. Gupta; Aya Ishigaki; Masato Inoue
    The 3rd International Workshop on Production and Logistics 2015年10月 口頭発表（一般）
  • 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  [通常講演]
    木下雄貴; 山田哲男; 浦田智幸; 山田周歩; 井上全人
    日本設備管理学会平成26年秋季研究発表大会 2014年11月 口頭発表（一般）

MISC

受賞

  • 2023年07月 International Foundation for Production Research 2023 IFPR Early Career Researchers Mentoring Award
     
    受賞者: Yuki KINOSHITA
  • 2018年07月 3rd International Conference on Business Management of Technology (BMOT 2018), 7th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2018) Outstanding Paper Award
     Mathematical Modeling of Multi-player Multi-objective Decision Making by Linear Physical Programming 
    受賞者: Tomoaki Yatsuka;Aya Ishigaki;Hiromasa, Ijuin;Yuki Kinoshita;Tetsuo Yamada;Masato Inoue
  • 2018年04月 Northeast Decision Sciences Institute 2018 Annual Conference Best Poster Award
     Design of Multi-player Multi-objective Decision Support System using a Linear Physical Programming Approach 
    受賞者: Tomoaki Yatsuka;Riku Yamagata;Aya Ishigaki;Yuki Kinoshita;Tetsuo Yamada;Masato Inoue
  • 2017年03月 国立大学法人 電気通信大学 学長賞
     
    受賞者: 木下雄貴
  • 2017年03月 一般社団法人 目黒会(電気通信大学同窓会) 目黒会賞
     
    受賞者: 木下雄貴
  • 2016年03月 国立大学法人 電気通信大学 学長賞
     
    受賞者: 木下雄貴
  • 2015年03月 公益社団法人 日本経営工学会 優秀学生賞
     
    受賞者: 木下雄貴

共同研究・競争的資金等の研究課題

  • 日本学術振興会：科学研究費助成事業 特別研究員奨励費
    研究期間 : 2018年04月 -2020年03月 
    代表者 : 木下 雄貴
     
    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．
  • 日本学術振興会：科学研究費助成事業 基盤研究(B)
    研究期間 : 2014年04月 -2019年03月 
    代表者 : 山田 哲男; 井上 全人; 北田 皓嗣; 石垣 綾; 田中 健一; 由良 憲二; 國部 克彦; 中嶌 道靖; 木下 雄貴; 山田 周歩
     
    本研究では、パソコン、掃除機や携帯電話といった組立製品のリサイクルとCO2削減を経済的に促進するために、循環型・低炭素型サプライチェーンと製品ライフサイクルを統合し、環境負荷や経済性の見える化と満足化を行った。具体的には、陳腐化した部品交換のアップグレード、製品使用済み時の分解部品選択、グローバル/リバースサプライチェーンネットワーク、製造・再製造システムやマネジメントコントールシステムなどについて、設計・運用・経営の方法論を提案した。その結果、リサイクル率向上、CO2削減とコスト削減を同時に達成できるケースの存在を示した。また、米・独・英の大学と国際共同研究や国際ワークショップを実施した。
  • 日本学術振興会：若手研究者海外挑戦プログラム
    研究期間 : 2018年03月 -2018年05月 
    代表者 : 木下雄貴

委員歴

  • 2023年07月 - 現在   公益社団法人 日本経営工学会   大会委員会

担当経験のある科目

  • 卒業研究ゼミナール近畿大学
  • 情報基礎実習近畿大学
  • プログラミング実習Ⅰ近畿大学
  • 情報数学近畿大学
  • 応用統計学近畿大学
  • 情報処理実習Ⅰ近畿大学
  • 情報セキュリティ近畿大学
  • 基礎ゼミ近畿大学
  • 計算機実習II青山学院大学

学術貢献活動

  • Journal of Advanced Mechanical Design, Systems and Manufacturing
    期間 : 2022年07月 - 現在
    役割 : 査読
    種別 : 査読等
    主催者・責任者 : 一般社団法人 日本機械学会
  • 日本経営工学会論文誌
    期間 : 2021年04月 - 現在
    役割 : 査読
    種別 : 査読等
    主催者・責任者 : 公益社団法人 日本経営工学会

その他のリンク

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