{"title":"A heuristic procedure for determining ordering and price-discount policies for commodities with two-period perishability","authors":"D. Gupta, Z. Dai","doi":"10.1016/0167-188X(91)90031-V","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, the problem of jointly setting order quantity of fresh items and discount price of one-period old items is modelled as a stochastic dynamic program for commodities that perish in two periods. It is solved using a heuristic procedure that decouples inventory decisions in any two consecutive periods by assuming a salvage value of leftover fresh items that is also the price paid for the entering stock of one-period-old items. For an assumed salvage value, the single period expected profit maximizing ordering - discount policy pair is identified. The <em>m</em>-periods planning problem is then solved by sequentially solving <em>m</em> single period problems. Numerical examples reveal some valuable insights about the inter-dependencies between order quantity and discount price. The percent discount is found to be insensitive to the assumed salvage value.</p></div>","PeriodicalId":100476,"journal":{"name":"Engineering Costs and Production Economics","volume":"21 2","pages":"Pages 177-190"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0167-188X(91)90031-V","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Costs and Production Economics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0167188X9190031V","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper, the problem of jointly setting order quantity of fresh items and discount price of one-period old items is modelled as a stochastic dynamic program for commodities that perish in two periods. It is solved using a heuristic procedure that decouples inventory decisions in any two consecutive periods by assuming a salvage value of leftover fresh items that is also the price paid for the entering stock of one-period-old items. For an assumed salvage value, the single period expected profit maximizing ordering - discount policy pair is identified. The m-periods planning problem is then solved by sequentially solving m single period problems. Numerical examples reveal some valuable insights about the inter-dependencies between order quantity and discount price. The percent discount is found to be insensitive to the assumed salvage value.