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Article: An economic lot-sizing problem with perishable inventory and economies of scale costs: Approximation solutions and worst case analysis

TitleAn economic lot-sizing problem with perishable inventory and economies of scale costs: Approximation solutions and worst case analysis
Authors
KeywordsApproximation algorithms
Consecutive-Cover-Ordering policies
Economic Lot-Sizing problem
Perishable inventory
Issue Date2005
Citation
Naval Research Logistics, 2005, v. 52, n. 6, p. 536-548 How to Cite?
AbstractThe costs of many economic activities such as production, purchasing, distribution, and inventory exhibit economies of scale under which the average unit cost decreases as the total volume of the activity increases. In this paper, we consider an economic lot-sizing problem with general economies of scale cost functions. Our model is applicable to both nonperishable and perishable products. For perishable products, the deterioration rate and inventory carrying cost in each period depend on the age of the inventory. Realizing that the problem is NP-hard, we analyze the effectiveness of easily implementable policies. We show that the cost of the best Consecutive-Cover- Ordering (CCO) policy, which can be found in polynomial time, is guaranteed to be no more than (4√2 + 5)/7 ≈ 1.52 times the optimal cost, In addition, if the ordering cost function does not change from period to period, the cost of the best CCO policy is no more than 1.5 times the optimal cost. © 2005 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/296030
ISSN
2021 Impact Factor: 1.806
2020 SCImago Journal Rankings: 0.665
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChu, Leon Yang-
dc.contributor.authorHsu, Vernon Ning-
dc.contributor.authorShen, Zuo Jun Max-
dc.date.accessioned2021-02-11T04:52:41Z-
dc.date.available2021-02-11T04:52:41Z-
dc.date.issued2005-
dc.identifier.citationNaval Research Logistics, 2005, v. 52, n. 6, p. 536-548-
dc.identifier.issn0894-069X-
dc.identifier.urihttp://hdl.handle.net/10722/296030-
dc.description.abstractThe costs of many economic activities such as production, purchasing, distribution, and inventory exhibit economies of scale under which the average unit cost decreases as the total volume of the activity increases. In this paper, we consider an economic lot-sizing problem with general economies of scale cost functions. Our model is applicable to both nonperishable and perishable products. For perishable products, the deterioration rate and inventory carrying cost in each period depend on the age of the inventory. Realizing that the problem is NP-hard, we analyze the effectiveness of easily implementable policies. We show that the cost of the best Consecutive-Cover- Ordering (CCO) policy, which can be found in polynomial time, is guaranteed to be no more than (4√2 + 5)/7 ≈ 1.52 times the optimal cost, In addition, if the ordering cost function does not change from period to period, the cost of the best CCO policy is no more than 1.5 times the optimal cost. © 2005 Wiley Periodicals, Inc.-
dc.languageeng-
dc.relation.ispartofNaval Research Logistics-
dc.subjectApproximation algorithms-
dc.subjectConsecutive-Cover-Ordering policies-
dc.subjectEconomic Lot-Sizing problem-
dc.subjectPerishable inventory-
dc.titleAn economic lot-sizing problem with perishable inventory and economies of scale costs: Approximation solutions and worst case analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/nav.20096-
dc.identifier.scopuseid_2-s2.0-26444501634-
dc.identifier.volume52-
dc.identifier.issue6-
dc.identifier.spage536-
dc.identifier.epage548-
dc.identifier.isiWOS:000231072200005-
dc.identifier.issnl0894-069X-

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