Matsukawa Hiroaki

写真a

Affiliation

Faculty of Science and Technology, Department of Industrial and Systems Engineering (Yagami)

Position

Professor

External Links

Career 【 Display / hide

  • 1992.04
    -
    1994.03

    東京工業大学工学部経営工学科, 助手

  • 1994.04
    -
    1995.03

    オリンパス光学工業(株)深釧工場行政部, 副経理

  • 1995.04
    -
    1995.09

    オリンパス光学工業(株)深釧工場, 行政部経理

  • 1995.10
    -
    1996.03

    オリンパス光学工業(株)深釧工場, 総経理助理

  • 1996.04
    -
    2000.09

    東京工業大学大学院社会理工学研究科, 専任講師

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Academic Background 【 Display / hide

  • 1989.04
    -
    1992.03

    Tokyo Institute of Technology, 理工学研究科, 経営工学専攻

    日本, Graduate School, Withdrawal after completion of doctoral course requirements, Doctoral course

Academic Degrees 【 Display / hide

  • 博士(工学), Tokyo Institute of Technology, Coursework, 1992.09

 

Research Areas 【 Display / hide

  • Social systems engineering/Safety system

Research Keywords 【 Display / hide

  • Supply Chain Management

  • Inventory control

  • Logistics

  • production management

Research Themes 【 Display / hide

  • Supply Chain Disruption Risk Management System, 

    2013.04
    -
    2018.03

     View Summary

    天災や人災によりサプライチェーンが途絶することがある.発生確率は小さいが,甚大な直接,間接被害をもたらし,企業は倒産に至ることがある.サプライチェーン見える化をベースに,リスク構造の解明,レジリエンス構造の構築方法,ロバストサプライチェーン構築方法,途絶を考慮した安全在庫の計算方法とその動的配置方法を,科学的・工学的手法開発し,マネジメントの原理原則を明らかにする.

Proposed Theme of Joint Research 【 Display / hide

  • 物流システムの構築

    Interested in joint research with industry (including private organizations, etc.),  Desired form: Technical Consultation, Funded Research, Cooperative Research

     View Summary

    製造業における物流システムは,社内物流と社外物流に分類されます.一方,流通業における物流システムは,包装,倉庫,輸配送に分類することもできます.それぞれを独立に考えることもできますが,デジタル連携を通じて,さらなる効率向上ができることを示し,物流戦略と合わせて,システム構築の方法を提案します.

  • 生産管理システムの構築

    Interested in joint research with industry (including private organizations, etc.),  Desired form: Technical Consultation, Funded Research, Cooperative Research

     View Summary

    生産管理システムでは需要予測,在庫管理,生産スケジューリング,設備管理,労務管理,作業改善などを同時に考える必要があります.これらを総合的に考慮して生産管理を行うことで,生産リードタイムを短縮し,生産効率を向上させることができます.情報システムは道具であり,道具をどう使うかがポイントになります.

 

Books 【 Display / hide

  • サプライチェーン情報バンク:協力が競争力を創生する

    松川弘明, 日本マネジメント研修センター, 2021.01,  Page: 100

  • "サプライチェーン情報バンク 研究会報告書"

    松川弘明, 小林史男, 岡村 正, JMFI, 2019.03,  Page: 80

  • Supply Chain Risk Management and Humanitarian Logistics

    Kubo M. Matsukawa H. et. al., 近代科学社, 2015.09,  Page: 273

  • サプライチェーンマネジメント入門

    CAO DE-BI, 朝倉書店, 2008

  • 現代生産管理

    TSAO DE-BI, 2003.09

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Papers 【 Display / hide

  • A Research on Two-Stage Production Line Building Problems for Processed Cheese Manufacturing

    MATSUMOTO Takao, KUBODERA Shizuka, SHIDA Keisuke, MATSUKAWA Hiroaki

    Journal of Japan Industrial Management Association (Japan Industrial Management Association)  72 ( 1 ) 65 - 74 2021

    Joint Work, Except for reviews,  ISSN  13422618

     View Summary

    <p>Production line design is one of the important research topics for constructing smart factories. Many research papers have been published concerning smart factories; however, most of them are focus on subjects such as automation, IoT (Internet of Things), AI (Artificial Intelligence) and other new technologies that are introduced to increase the efficiency of existing manufacturing lines based on the so-called philosophy of " status-quo improvement ". In this research, we consider a design problem for a new production line taking into consideration investment cost, operation cost, synchronization penalty and flexibility penalty. We emphasize synchronization and flexibility as new key performance indices to evaluate the level of intelligenced to the smart factory, in which a multiple number of equipment in two production processes can provide the proper number of combinations to satisfy the external demand remove. Based on a real case involving a major player in the dairy product processing industry in Japan, we focus on two core production processes in a processed cheese manufacturing line; melting process and filling process. We design the process to include investing in a multiple number of machines with different capacities, while minimizing the total cost giving consideration to investment, operations, synchronization and flexibility. Two types of decision variables are introduced representing investment and operation. Through numerical experiments and the case study, we show that the proper number of equipment and capacity can be obtained applying the proposed model. The proposed model can also be applied to those companies considering further investment in factory or production line.</p>

  • Pricing supply chain option contracts: a bilevel programming approach

    Trabelsi A, Matsukawa H

    Journal of Modelling in Management (Journal of Modelling in Management)  15 ( 4 ) 1567 - 1589 2020.11

    Joint Work, Except for reviews,  ISSN  17465664

     View Summary

    Purpose: This paper considers an option contract in a two-stage supplier-retailer supply chain (SC) when market demand is stochastic. The problem is a Stackelberg game with the supplier as a leader. This research assumes demand information sharing. The purpose of this study is to determine the optimal pricing strategy of the supplier along with the optimal order strategy of the retailer in three option contract cases. Design/methodology/approach: The paper model the option contract pricing problem as a bilevel problem. The problem is then solved using bilevel programing methods. After computing, the generated outcomes are compared to a benchmark (wholesale price contract) to evaluate the contract. Findings: The results reveal that only one of the contract cases can arbitrarily allocate the SC profit. In both other cases, the Stackelberg supplier manages to earn the total SC profit. Further analysis of the first contract, show that from the supplier’s perspective, the first stage forecast inaccuracy is beneficial, whereas the demand uncertainty in the second stage is detrimental. This contracting strategy guarantees both players better outcomes compared to the wholesale price contract. Originality/value: To the best of the authors’ knowledge, this research is the first that links the option contract literature to the bilevel programing literature. It also the first to solve the pricing problem of the commitment option contract with demand update where the retailer exercises the option before knowing the exact demand.

  • Editorial: Industry 4.0 and Production Economics

    Matsukawa H., Minner S., Nakashima K.

    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 226 2020.08

    ISSN  0925-5273

  • The SURUGA Gateway: An Advanced CPS Equipping Smart Factory

    JIN Guixiang, NAKATSUKA Akihiro, MATSUKAWA Hiroaki

    Innovation and Supply Chain Management (特定非営利活動法人 日本マネージメント研修センター)  13 ( 2 )  2019

    Joint Work, Except for reviews,  ISSN  2187-0969

     View Summary

    <p>Cyber-physical system (CPS) is one core concept of Industry 4.0. A cyber space has mirror information of physical space and activities in the physical space are synchronized with activities in cyber space. SURUGA Gateway is a CPS, running in a Japanese robot component producer. Innovation process(design) and operation (manufacturing) process is integrated together on the SURUGA Gateway, enabling high quality, short leadtime, low cost, and high ?exibility. Various decisions were made in the cyber space, then executed in physical space automatically. Materials input to manufacturing process according to production plan which created by modi?ed ERP (enterprise resource planning) system, fabricated according to optimized routing and scheduling. All NC (numerical control) machines and MC (machining center) were connected and integrated on a centralized platform using Ethercat protocol and interface, and serial electronic signal control for old machines. The KAMISHIBAI (VPS: virtual production system) is embedded in the SURUGA Gateway,providing online training to assembly operators. Innovation process drives operation process, while know-how to improve efficiency and quality in operation process is feedback to the innovation process. The integration of innovation process and operation process, speci?cally the integration of design, material ?ow, machine ?ow and human resource is most successful point of the SURUGA Gateway. SURUGA Gateway successfully reduced leadtime by 80% and recognized as best practice in Hannover Messe and G20 business conference.</p>

  • A Research on Robust Safety Stock Allocation Model to Deal with Uncertain Leadtime In an Acyclic Supply Network

    BEIRAN Pablo, JIN Guixiang, MATSUKAWA Hiroaki

    Innovation and Supply Chain Management (特定非営利活動法人 日本マネージメント研修センター)  12 ( 1 ) 1 - 6 2018

    Joint Work, Except for reviews,  ISSN  2187-0969

     View Summary

    <p>Safety stock allocation problems including uncertainty in the supply-side have forced to assume a speci?c distribution of the lead time yet this is usually not reliable. From a guaranteed-service approach, a new model based on robust optimization in which no distribution is assumed is proposed. The robust model is a mixed-integer linear program. Then, the model is validated and applied to several complex real-case supply chains. Preliminary results are promising and show how the model could be a powerful tool for practitioners to manage risks from the supply-side in a robust yet efficient way.</p>

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Papers, etc., Registered in KOARA 【 Display / hide

Reviews, Commentaries, etc. 【 Display / hide

  • サプライチェーン情報バンク -「情報共有」という最適解 --

    松川弘明

    リスクマネジメント TODAY (RIMS)  128 ( 128 ) 10 - 13 2021.09

    Introduction and explanation (others), Single Work

  • 主張/日本型スマート工場で勝つ

    松川弘明

    日刊工業新聞 (日刊工業新聞社)   2020.09

    Introduction and explanation (commerce magazine), Single Work

  • "次世代スマート工場の エンジニアリング手法の確立に向けて"

    松川弘明

    ENAAレポート (エンジニアリング協会)   ( 154 ) 24 - 25 2020.01

    Introduction and explanation (others), Single Work

  • Industry4.0 and Production Economics

    Matsukawa H, Minner S, Nakashima K

    International Journal of Production Economics (International Journal of Production Economics)  226 2020

    Other article, Joint Work,  ISSN  09255273

  • イノベーション効率とオペレーション効率

    松川弘明

    IEレビュー (IE協会)  60 ( 4 )  2019.10

    Introduction and explanation (others), Single Work

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Presentations 【 Display / hide

  • サプライチェーン見える化システムによる途絶リスク対策

    松川弘明

    経団連「サプライチェーンDXウェビナー」, 2021.03, Oral Presentation(guest/special)

  • サプライチェーン情報データバンク構想について

    松川弘明

    JMFI会員企業交流会, 2019.11, Oral Presentation(key)

  • サプライチェーンのデータ連携を可能にする〝SC情報バンク構想″について

    松川弘明

    JMFI年次総会, 2019.08, Oral Presentation(key)

  • サプライチェーン情報バンク

    松川弘明

    アジアシームレス物流展, 2019.05, Oral Presentation(key)

  • A Research on Building an Agriculture Operations Management System

    Yasushi Kubota, Hiroaki Matsukawa

    The 5th International Workshop on Production and Logistics, 2018.03, Oral Presentation(general)

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • A Research on Integrated Scheduling Method Synchronizing Flowshop and Jobshop

    2021.04
    -
    2024.03

    Keio University, 松川 弘明, Grant-in-Aid for Scientific Research (C)

     View Summary

    モジュール製造工場における生産効率を上げるためには,組立ラインのフローショップスケジュールと部品加工におけるジョブショップスケジュールを同期化する必要がある.生産計画を作成するとき,BOM(bill of material)を用いて従属需要が計算され,MRPロジックを用いて日程計画が作成されるが,スケジューリングで実行不可能になることがある.本研究では,日程計画の段階で加工における設備の使用順序を考慮し,ジョブショップスケジューリングとフローショップスケジューリングを統合したスケジューリングモデル,および日程計画とジョブショップスケジューリングを統合したスケジューリングの手法を開発する.

  • SC途絶リスクマネジメントの方法論およびシステム構築に関する研究

    2013.04
    -
    2018.03

    JSPS, Grant-in-Aid for Scientific Research, Hiroaki Matsukawa, Research grant

     View Summary

    サプライチェーン途絶により直接・間接被害が発生し,特に間接被害額を推定することは難しく,想定外の災害が発生した際にサプライチェーン全体の間接被害をなくすための理論研究およびシステム開発である.

Awards 【 Display / hide

  • 学会賞(学術)

    2015.05, 日本経営工学会, 生産物流研究における顕著な功績

  • 研究奨励賞

    圓川隆夫,伊藤謙治, 1993.05, 日本経営工学会, 1992年度論文賞(若手)

Other 【 Display / hide

  • 「知能化」で産業振興

    2020年08月

     View Details

    エンジ協会、次世代スマート工場の研究活動進む 「知能化」で産業振興

 

Courses Taught 【 Display / hide

  • SEMINAR IN ADMINISTRATION ENGINEERING

    2021

  • PROJECT MANAGEMENT

    2021

  • PRODUCTION MANAGEMENT

    2021

  • OPERATIONS MANAGEMENT

    2021

  • OPEN SYSTEMS MANAGEMENT: LECTURE AND EXERCISES

    2021

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Courses Previously Taught 【 Display / hide

  • 実験演習I

    Keio University, 2017, Full academic year, Major subject, Laboratory work/practical work/exercise, Lecturer outside of Keio, 110people

  • プロジェクトマネジメント

    Keio University, 2017, Autumn Semester, Major subject, Lecture, Within own faculty, 2h, 60people

  • IE特論

    Keio University, 2017, Autumn Semester, Major subject, Lecture, Lecturer outside of Keio

  • インダストリアルエンジニアリング

    Keio University, 2017, Spring Semester, Major subject, Lecture, Lecturer outside of Keio, 2h, 110people

  • Operations Management

    Keio University, 2017, Spring Semester, Major subject, Lecture, Within own faculty, 2h, 30people

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Social Activities 【 Display / hide

  • International Journal of Production Economics

    2014
    -
    Present

     View Summary

    Editor

  • 日本マネジメント研修センター

    2012.01
    -
    2015.12
  • ISO/IEC JTC1/SC31 RFID標準化委員会

    2010.06
    -
    2019.09
  • Information

    2010.04
    -
    2020.01
  • 国土交通省港湾IT戦略委員会

    2010
    -
    2011

Memberships in Academic Societies 【 Display / hide

  • スケジューリング学会, 

    2004.09
    -
    Present
  • Informs, 

    2001.01
    -
    Present
  • Japan Operations Research Society, 

    1991.06
    -
    Present
  • Japan Industrial Management Association, 

    1991.06
    -
    Present

Committee Experiences 【 Display / hide

  • 2021.06
    -
    Present

    議長, JMFI事業開発推進会議

  • 2019.06
    -
    2021.05

    会長, 日本経営工学会

  • 2018.04
    -
    Present

    主査, ENAA次世代スマート工場のエンジニアリング手法研究会

  • 2016.04
    -
    2021.03

    副委員長, 大学評価・学位授与機構学位審査会社会システム工学専門委員会

  • 2016.04
    -
    2017.03

    委員, 日本学術振興会科学研究費委員会挑戦的研究部会

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