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- Scopus: eid_2-s2.0-84861602824
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Article: A conic integer programming approach to stochastic joint location-inventory problems
Title | A conic integer programming approach to stochastic joint location-inventory problems |
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Authors | |
Keywords | Integrated supply chain Covers Polymatroids Risk pooling Conic mixed-integer program |
Issue Date | 2012 |
Citation | Operations Research, 2012, v. 60, n. 2, p. 366-381 How to Cite? |
Abstract | We study several joint facility location and inventory management problems with stochastic retailer demand. In particular, we consider cases with uncapacitated facilities, capacitated facilities, correlated retailer demand, stochastic lead times, and multicommodities. We show how to formulate these problems as conic quadratic mixed-integer problems. Valid inequalities, including extended polymatroid and extended cover cuts, are added to strengthen the formulations and improve the computational results. Compared to the existing modeling and solution methods, the new conic integer programming approach not only provides a more general modeling framework but also leads to fast solution times in general. © 2012 INFORMS. |
Persistent Identifier | http://hdl.handle.net/10722/296248 |
ISSN | 2023 Impact Factor: 2.2 2023 SCImago Journal Rankings: 2.848 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Atamtürk, Alper | - |
dc.contributor.author | Berenguer, Gemma | - |
dc.contributor.author | Shen, Zuo Jun Max | - |
dc.date.accessioned | 2021-02-11T04:53:09Z | - |
dc.date.available | 2021-02-11T04:53:09Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Operations Research, 2012, v. 60, n. 2, p. 366-381 | - |
dc.identifier.issn | 0030-364X | - |
dc.identifier.uri | http://hdl.handle.net/10722/296248 | - |
dc.description.abstract | We study several joint facility location and inventory management problems with stochastic retailer demand. In particular, we consider cases with uncapacitated facilities, capacitated facilities, correlated retailer demand, stochastic lead times, and multicommodities. We show how to formulate these problems as conic quadratic mixed-integer problems. Valid inequalities, including extended polymatroid and extended cover cuts, are added to strengthen the formulations and improve the computational results. Compared to the existing modeling and solution methods, the new conic integer programming approach not only provides a more general modeling framework but also leads to fast solution times in general. © 2012 INFORMS. | - |
dc.language | eng | - |
dc.relation.ispartof | Operations Research | - |
dc.subject | Integrated supply chain | - |
dc.subject | Covers | - |
dc.subject | Polymatroids | - |
dc.subject | Risk pooling | - |
dc.subject | Conic mixed-integer program | - |
dc.title | A conic integer programming approach to stochastic joint location-inventory problems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1287/opre.1110.1037 | - |
dc.identifier.scopus | eid_2-s2.0-84861602824 | - |
dc.identifier.volume | 60 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 366 | - |
dc.identifier.epage | 381 | - |
dc.identifier.eissn | 1526-5463 | - |
dc.identifier.isi | WOS:000304225100009 | - |
dc.identifier.issnl | 0030-364X | - |