Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology)
For manufacturing industries to promote globalization, it is important to optimize the strategic design of supply networks. In early stages of strategic design of global supply networks, with regards to the market strategy (what sale volume of which product to which market) and the manufacturing str...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2015-12-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/82/833/82_15-00287/_pdf/-char/en |
| _version_ | 1811317904586571776 |
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| author | Yasutaka KOGA Satoshi YOSHIDA Toshiya KAIHARA Nobutada FUJII |
| author_facet | Yasutaka KOGA Satoshi YOSHIDA Toshiya KAIHARA Nobutada FUJII |
| author_sort | Yasutaka KOGA |
| collection | DOAJ |
| description | For manufacturing industries to promote globalization, it is important to optimize the strategic design of supply networks. In early stages of strategic design of global supply networks, with regards to the market strategy (what sale volume of which product to which market) and the manufacturing strategy (production capacity and number of manufacturing facilities), we have to optimize the facility locations. At this point, instead of determining the details of product types and delivery routes, we should focus on minimizing the total cost of the supply networks. After performing a conceivable risk assessment, we determine the locations of manufacturing facilities. In this paper, based on the information that can be learned in early stages of strategy design, we build a model of one-echelon supply network for facility locations design problem with capacity constraints. Next, we perform numerical experiments of the optimization using mixed-integer programming. As a specific example, the manufacturing plant is assumed to supply products to the 43 global markets. Our experiments evaluated the effectiveness of the proposed method with respect to this facility locations design problem. |
| first_indexed | 2024-04-13T12:16:31Z |
| format | Article |
| id | doaj.art-b1761e6d3c7c4dfb957386d9452deda2 |
| institution | Directory Open Access Journal |
| issn | 2187-9761 |
| language | Japanese |
| last_indexed | 2024-04-13T12:16:31Z |
| publishDate | 2015-12-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj.art-b1761e6d3c7c4dfb957386d9452deda22022-12-22T02:47:21ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612015-12-018283315-0028715-0028710.1299/transjsme.15-00287transjsmeFacility location design methodology of global supply network (A proposal of cost-based facility location design methodology)Yasutaka KOGA0Satoshi YOSHIDA1Toshiya KAIHARA2Nobutada FUJII3Toshiba CorporationToshiba CorporationGraduate School of System Informatics, Kobe UniversityGraduate School of System Informatics, Kobe UniversityFor manufacturing industries to promote globalization, it is important to optimize the strategic design of supply networks. In early stages of strategic design of global supply networks, with regards to the market strategy (what sale volume of which product to which market) and the manufacturing strategy (production capacity and number of manufacturing facilities), we have to optimize the facility locations. At this point, instead of determining the details of product types and delivery routes, we should focus on minimizing the total cost of the supply networks. After performing a conceivable risk assessment, we determine the locations of manufacturing facilities. In this paper, based on the information that can be learned in early stages of strategy design, we build a model of one-echelon supply network for facility locations design problem with capacity constraints. Next, we perform numerical experiments of the optimization using mixed-integer programming. As a specific example, the manufacturing plant is assumed to supply products to the 43 global markets. Our experiments evaluated the effectiveness of the proposed method with respect to this facility locations design problem.https://www.jstage.jst.go.jp/article/transjsme/82/833/82_15-00287/_pdf/-char/englobal supply networkfacility locationminimizationstrategy designmixed integer programing |
| spellingShingle | Yasutaka KOGA Satoshi YOSHIDA Toshiya KAIHARA Nobutada FUJII Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) Nihon Kikai Gakkai ronbunshu global supply network facility location minimization strategy design mixed integer programing |
| title | Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) |
| title_full | Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) |
| title_fullStr | Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) |
| title_full_unstemmed | Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) |
| title_short | Facility location design methodology of global supply network (A proposal of cost-based facility location design methodology) |
| title_sort | facility location design methodology of global supply network a proposal of cost based facility location design methodology |
| topic | global supply network facility location minimization strategy design mixed integer programing |
| url | https://www.jstage.jst.go.jp/article/transjsme/82/833/82_15-00287/_pdf/-char/en |
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