{"title":"Stock Efficiency Algorithm for Lot Sizing Problem","authors":"Sang-Un Lee","doi":"10.7236/JIIBC.2021.21.2.169","DOIUrl":null,"url":null,"abstract":"결과 모든 데이터에 대해 최적 해를 찾았다. Abstract The lot sizing problem(LSP) is a hard problem that classified as non-deterministic(NP)-complete because of the polynomial-time optimal solution algorithm is unknown yet. The well-known W-W algorithm can be obtain the solution within polynomial-time, but this algorithm is a very complex, therefore the heuristic approximated S-M algorithm is suggested. This paper suggests linear-time complexity algorithm that can be find not the approximated but optimal solution. This algorithm determines the lot size ∗ in period to the sum of the demands of interval , the period is determined by the holding cost will not exceed setup cost of period.","PeriodicalId":22795,"journal":{"name":"The Journal of the Institute of Webcasting, Internet and Telecommunication","volume":"35 1","pages":"169-175"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the Institute of Webcasting, Internet and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7236/JIIBC.2021.21.2.169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
결과 모든 데이터에 대해 최적 해를 찾았다. Abstract The lot sizing problem(LSP) is a hard problem that classified as non-deterministic(NP)-complete because of the polynomial-time optimal solution algorithm is unknown yet. The well-known W-W algorithm can be obtain the solution within polynomial-time, but this algorithm is a very complex, therefore the heuristic approximated S-M algorithm is suggested. This paper suggests linear-time complexity algorithm that can be find not the approximated but optimal solution. This algorithm determines the lot size ∗ in period to the sum of the demands of interval , the period is determined by the holding cost will not exceed setup cost of period.