Dynamic lot sizing with minimum order size and lost sales

Dynamic lot sizing is the problem of determining the quantity and timing of ordering items while satisfying the demand over a finite planning horizon. This paper considers the problem with two practical considerations: minimum order size and lost sales. The minimum order size is the minimum amount o...

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Published inJournal of international logistics and trade Vol. 8; no. 1; pp. 41 - 55
Main Authors Hwa-Joong Kim, Eun-Kyung Yu, Kwang-Tae Kim, Tae-Seung Kim
Format Journal Article
LanguageEnglish
Published 인하대학교 정석물류통상연구원 01.06.2010
정석물류통상연구원
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Summary:Dynamic lot sizing is the problem of determining the quantity and timing of ordering items while satisfying the demand over a finite planning horizon. This paper considers the problem with two practical considerations: minimum order size and lost sales. The minimum order size is the minimum amount of items that should be purchased and lost sales involve situations in which sales are lost because items are not on hand or when it becomes more economical to lose the sale rather than making the sale. The objective is to minimize the costs of ordering, item , inventory holding and lost sale over the planning horizon. To solve the problem, we suggest a heuristic algorithm by considering trade-offs between cost factors. Computational experiments on randomly generated test instances show that the algorithm quickly obtains near-optimal solutions. KCI Citation Count: 0
Bibliography:G704-001871.2010.8.1.005
ISSN:1738-2122
2508-7592
DOI:10.24006/jilt.2010.8.1.003