Publication: Optimal policies for inventory systems with finite capacity and partially observed Markov-modulated demand and supply processes
dc.contributor.department | Department of Industrial Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Arifoğlu, Kenan | |
dc.contributor.kuauthor | Özekici, Süleyman | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-09T23:19:26Z | |
dc.date.issued | 2010 | |
dc.description.abstract | We analyze a single-item periodic-review inventory system with random yield and finite capacity operating in a random environment. The primary objective is to extend the model of Gallego and Hu (2004) to the more general case when the environment is only partially observable. Although our analysis is specific to inventory systems, it can also be applied to production systems by replacing the fixed capacity supplier with a fixed capacity producer. Using sufficient statistics, we consider single-period, multiple-period and infinite-period problems to show that a state-dependent modified inflated base-stock policy is optimal. Moreover, we show that the multiple-period cost converges to the infinite-period cost as the length of the planning horizon increases. (C) 2009 Elsevier B.V. All rights reserved. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 3 | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.volume | 204 | |
dc.identifier.doi | 10.1016/j.ejor.2009.10.029 | |
dc.identifier.eissn | 1872-6860 | |
dc.identifier.issn | 0377-2217 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-75149186838 | |
dc.identifier.uri | https://doi.org/10.1016/j.ejor.2009.10.029 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/10552 | |
dc.identifier.wos | 275241100005 | |
dc.keywords | Random yield | |
dc.keywords | Fixed capacity | |
dc.keywords | Random environment | |
dc.keywords | Modified inflated base-stock policy | |
dc.keywords | Dynamic programming | |
dc.keywords | Sufficient statistics | |
dc.keywords | Pomdp limited production capacity | |
dc.keywords | Random yield | |
dc.keywords | Random environment | |
dc.keywords | Uncertain demands | |
dc.keywords | Cost criterion | |
dc.keywords | Models | |
dc.keywords | Information | |
dc.language.iso | eng | |
dc.publisher | Elsevier Science Bv | |
dc.relation.ispartof | European Journal Of Operational Research | |
dc.subject | Management | |
dc.subject | Operations research | |
dc.subject | Management science | |
dc.title | Optimal policies for inventory systems with finite capacity and partially observed Markov-modulated demand and supply processes | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Arifoğlu, Kenan | |
local.contributor.kuauthor | Özekici, Süleyman | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Industrial Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
relation.isOrgUnitOfPublication | d6d00f52-d22d-4653-99e7-863efcd47b4a | |
relation.isOrgUnitOfPublication | 3fc31c89-e803-4eb1-af6b-6258bc42c3d8 | |
relation.isOrgUnitOfPublication.latestForDiscovery | d6d00f52-d22d-4653-99e7-863efcd47b4a | |
relation.isParentOrgUnitOfPublication | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 | |
relation.isParentOrgUnitOfPublication | 434c9663-2b11-4e66-9399-c863e2ebae43 | |
relation.isParentOrgUnitOfPublication.latestForDiscovery | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 |