File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Reliable Flexibility Design of Supply Chains Via Extended Probabilistic Expanders

TitleReliable Flexibility Design of Supply Chains Via Extended Probabilistic Expanders
Authors
Keywordssupply chain disruptions
flexibility design
unbalanced supply chains
extended probabilistic expanders
Issue Date2019
Citation
Production and Operations Management, 2019, v. 28, n. 3, p. 700-720 How to Cite?
Abstract© 2018 Production and Operations Management Society It is well-known that adding a little flexibility to the right place is an effective strategy to improve the performance of operations in the face of demand uncertainties, to ensure high level of capacity utilization. However, given that system disruptions are ubiquitous, the legacy flexibility designs may perform poorly under disruptions to supply or capacity installations. In this study, we focus on the design of reliable and sparse flexibility structures that consistently meet a reasonable performance criterion under disruptions to both demand and supply. Specifically, we propose a class of structures termed as extended probabilistic expanders, based on the conjecture that the expansion property, rather than the global connectivity, is critical to good performance of the structures. We prove that for a system with n retailers, essentially only O(n) supply routes between suppliers and retailers are necessary to ensure good performance under disruption. In addition, we present an efficient randomized algorithm to construct extended probabilistic expanders, and demonstrate that the construction yields very good structure with the least number of edges asymptotically. We also investigate an extension to systems with structural constraints. Numerical results demonstrate that our design has not only a wide range of applications, but also better performance than a variety of known structures.
Persistent Identifierhttp://hdl.handle.net/10722/296008
ISSN
2021 Impact Factor: 4.638
2020 SCImago Journal Rankings: 3.279
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShen, Hao-
dc.contributor.authorLiang, Yong-
dc.contributor.authorShen, Zuo Jun Max-
dc.contributor.authorTeo, Chung Piaw-
dc.date.accessioned2021-02-11T04:52:38Z-
dc.date.available2021-02-11T04:52:38Z-
dc.date.issued2019-
dc.identifier.citationProduction and Operations Management, 2019, v. 28, n. 3, p. 700-720-
dc.identifier.issn1059-1478-
dc.identifier.urihttp://hdl.handle.net/10722/296008-
dc.description.abstract© 2018 Production and Operations Management Society It is well-known that adding a little flexibility to the right place is an effective strategy to improve the performance of operations in the face of demand uncertainties, to ensure high level of capacity utilization. However, given that system disruptions are ubiquitous, the legacy flexibility designs may perform poorly under disruptions to supply or capacity installations. In this study, we focus on the design of reliable and sparse flexibility structures that consistently meet a reasonable performance criterion under disruptions to both demand and supply. Specifically, we propose a class of structures termed as extended probabilistic expanders, based on the conjecture that the expansion property, rather than the global connectivity, is critical to good performance of the structures. We prove that for a system with n retailers, essentially only O(n) supply routes between suppliers and retailers are necessary to ensure good performance under disruption. In addition, we present an efficient randomized algorithm to construct extended probabilistic expanders, and demonstrate that the construction yields very good structure with the least number of edges asymptotically. We also investigate an extension to systems with structural constraints. Numerical results demonstrate that our design has not only a wide range of applications, but also better performance than a variety of known structures.-
dc.languageeng-
dc.relation.ispartofProduction and Operations Management-
dc.subjectsupply chain disruptions-
dc.subjectflexibility design-
dc.subjectunbalanced supply chains-
dc.subjectextended probabilistic expanders-
dc.titleReliable Flexibility Design of Supply Chains Via Extended Probabilistic Expanders-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/poms.12942-
dc.identifier.scopuseid_2-s2.0-85054912631-
dc.identifier.volume28-
dc.identifier.issue3-
dc.identifier.spage700-
dc.identifier.epage720-
dc.identifier.eissn1937-5956-
dc.identifier.isiWOS:000460781800012-
dc.identifier.issnl1059-1478-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats