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Article: Exact algorithms for integrated facility location and production planning problems

TitleExact algorithms for integrated facility location and production planning problems
Authors
Keywordsorder selection
facility location
production planning
branch and price
Issue Date2011
Citation
Naval Research Logistics, 2011, v. 58, n. 5, p. 419-436 How to Cite?
AbstractWe consider a class of facility location problems with a time dimension, which requires assigning every customer to a supply facility in each of a finite number of periods. Each facility must meet all assigned customer demand in every period at a minimum cost via its production and inventory decisions. We provide exact branch-and-price algorithms for this class of problems and several important variants. The corresponding pricing problem takes the form of an interesting class of production planning and order selection problems. This problem class requires selecting a set of orders that maximizes profit, defined as the revenue from selected orders minus production-planning-related costs incurred in fulfilling the selected orders. We provide polynomial-time dynamic programming algorithms for this class of pricing problems, as well as for generalizations thereof. Computational testing indicates the advantage of our branch-and-price algorithm over various approaches that use commercial software packages. These tests also highlight the significant cost savings possible from integrating location with production and inventory decisions and demonstrate that the problem is rather insensitive to forecast errors associated with the demand streams. © 2011 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/296071
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 1.260
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSharkey, Thomas C.-
dc.contributor.authorGeunes, Joseph-
dc.contributor.authorRomeijn, H. Edwin-
dc.contributor.authorShen, Zuo Jun Max-
dc.date.accessioned2021-02-11T04:52:46Z-
dc.date.available2021-02-11T04:52:46Z-
dc.date.issued2011-
dc.identifier.citationNaval Research Logistics, 2011, v. 58, n. 5, p. 419-436-
dc.identifier.issn0894-069X-
dc.identifier.urihttp://hdl.handle.net/10722/296071-
dc.description.abstractWe consider a class of facility location problems with a time dimension, which requires assigning every customer to a supply facility in each of a finite number of periods. Each facility must meet all assigned customer demand in every period at a minimum cost via its production and inventory decisions. We provide exact branch-and-price algorithms for this class of problems and several important variants. The corresponding pricing problem takes the form of an interesting class of production planning and order selection problems. This problem class requires selecting a set of orders that maximizes profit, defined as the revenue from selected orders minus production-planning-related costs incurred in fulfilling the selected orders. We provide polynomial-time dynamic programming algorithms for this class of pricing problems, as well as for generalizations thereof. Computational testing indicates the advantage of our branch-and-price algorithm over various approaches that use commercial software packages. These tests also highlight the significant cost savings possible from integrating location with production and inventory decisions and demonstrate that the problem is rather insensitive to forecast errors associated with the demand streams. © 2011 Wiley Periodicals, Inc.-
dc.languageeng-
dc.relation.ispartofNaval Research Logistics-
dc.subjectorder selection-
dc.subjectfacility location-
dc.subjectproduction planning-
dc.subjectbranch and price-
dc.titleExact algorithms for integrated facility location and production planning problems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/nav.20458-
dc.identifier.scopuseid_2-s2.0-79960262933-
dc.identifier.volume58-
dc.identifier.issue5-
dc.identifier.spage419-
dc.identifier.epage436-
dc.identifier.eissn1520-6750-
dc.identifier.isiWOS:000293245600002-
dc.identifier.issnl0894-069X-

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