{"title":"An Enhanced Solution Strategy for Multi-period Multi-component Product Inventory Routing Problem Considering Supply Failure Risks","authors":"Satya Prakash, I. Mukherjee","doi":"10.1109/ICIEA52957.2021.9436765","DOIUrl":null,"url":null,"abstract":"This paper proposes an enhanced solution strategy for multi-period multi-component product inventory routing problem, considering multiple economic and environmental goals. In the problem, the demand of the assembly plant is satisfied by a set of geographically dispersed unique suppliers. Various practical constraints of the upstream supply network, such as supply capacity, supplier management cost, ordering cost, and supply failure risk are considered. A full factorial designed simulation experiment reveals price of component, price of fuel, and supply capacity variations significantly impact the goals.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA52957.2021.9436765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes an enhanced solution strategy for multi-period multi-component product inventory routing problem, considering multiple economic and environmental goals. In the problem, the demand of the assembly plant is satisfied by a set of geographically dispersed unique suppliers. Various practical constraints of the upstream supply network, such as supply capacity, supplier management cost, ordering cost, and supply failure risk are considered. A full factorial designed simulation experiment reveals price of component, price of fuel, and supply capacity variations significantly impact the goals.