File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Agility and proximity considerations in supply chain design

TitleAgility and proximity considerations in supply chain design
Authors
KeywordsSupply chain design
Facility location
Inventory sharing
Issue Date2017
Citation
Management Science, 2017, v. 63, n. 4, p. 1026-1041 How to Cite?
Abstract© 2016 INFORMS. Strategic supply chain design decisions are critical to the long-term success of a business. Traditional facility location models for supply chain design focus on the tradeoffs between the costs and benefits of proximity, i.e., the distance between facilities and customers. These strategic-focused models do not consider the supply chain's agility, i.e., its ability to quickly respond to unexpected fluctuations in customer needs. In this paper, we study the problem of designing a supply chain distribution network under demand uncertainty and analyze how the optimal design characteristics of proximity and agility depend on various input parameters. We are able to draw managerial insights on how agility considerations may invalidate well-established and widely accepted qualitative results derived from traditional models. In particular,we showthat it is optimal to increase the density of distribution centers (DCs) when the shortage penalty cost increases, and to decrease the density of DCs when a certain unit transportation cost parameter increases. Through these findings, our work conveys the message that traditional, proximity-based facility location models can be inadequate for designing modern responsive supply chains, and calls for the need to develop a new class of models for the task.
Persistent Identifierhttp://hdl.handle.net/10722/296145
ISSN
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 5.438
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLim, Michael K.-
dc.contributor.authorMak, Ho Yin-
dc.contributor.authorShen, Zuo Jun Max-
dc.date.accessioned2021-02-11T04:52:56Z-
dc.date.available2021-02-11T04:52:56Z-
dc.date.issued2017-
dc.identifier.citationManagement Science, 2017, v. 63, n. 4, p. 1026-1041-
dc.identifier.issn0025-1909-
dc.identifier.urihttp://hdl.handle.net/10722/296145-
dc.description.abstract© 2016 INFORMS. Strategic supply chain design decisions are critical to the long-term success of a business. Traditional facility location models for supply chain design focus on the tradeoffs between the costs and benefits of proximity, i.e., the distance between facilities and customers. These strategic-focused models do not consider the supply chain's agility, i.e., its ability to quickly respond to unexpected fluctuations in customer needs. In this paper, we study the problem of designing a supply chain distribution network under demand uncertainty and analyze how the optimal design characteristics of proximity and agility depend on various input parameters. We are able to draw managerial insights on how agility considerations may invalidate well-established and widely accepted qualitative results derived from traditional models. In particular,we showthat it is optimal to increase the density of distribution centers (DCs) when the shortage penalty cost increases, and to decrease the density of DCs when a certain unit transportation cost parameter increases. Through these findings, our work conveys the message that traditional, proximity-based facility location models can be inadequate for designing modern responsive supply chains, and calls for the need to develop a new class of models for the task.-
dc.languageeng-
dc.relation.ispartofManagement Science-
dc.subjectSupply chain design-
dc.subjectFacility location-
dc.subjectInventory sharing-
dc.titleAgility and proximity considerations in supply chain design-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1287/mnsc.2015.2380-
dc.identifier.scopuseid_2-s2.0-85017300308-
dc.identifier.volume63-
dc.identifier.issue4-
dc.identifier.spage1026-
dc.identifier.epage1041-
dc.identifier.eissn1526-5501-
dc.identifier.isiWOS:000399362100008-
dc.identifier.issnl0025-1909-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats