{"title":"基于多准则双重采购的供应链风险管理优化方法","authors":"Zohreh Khojasteh Ghamari, T. Irohara","doi":"10.1109/ICIMSA.2017.7985576","DOIUrl":null,"url":null,"abstract":"In this study we propose a proactive optimization approach to manage the supply chain risk. The purpose of presented model in this paper is supplier selection with the objective of minimizing the total cost. We apply the multi sourcing strategy to avoid the supply disruption while restricting the selection by suppliers' corporate groups and the second-tier suppliers. We examine the model by different datasets. The findings suggest that this approach has more fficiency when the variance between suppliers' total cost is lower.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"34 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Multi-Criteria Double Sourcing Based Optimization Approach to Manage the Supply Chain Risk\",\"authors\":\"Zohreh Khojasteh Ghamari, T. Irohara\",\"doi\":\"10.1109/ICIMSA.2017.7985576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we propose a proactive optimization approach to manage the supply chain risk. The purpose of presented model in this paper is supplier selection with the objective of minimizing the total cost. We apply the multi sourcing strategy to avoid the supply disruption while restricting the selection by suppliers' corporate groups and the second-tier suppliers. We examine the model by different datasets. The findings suggest that this approach has more fficiency when the variance between suppliers' total cost is lower.\",\"PeriodicalId\":447657,\"journal\":{\"name\":\"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)\",\"volume\":\"34 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMSA.2017.7985576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMSA.2017.7985576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-Criteria Double Sourcing Based Optimization Approach to Manage the Supply Chain Risk
In this study we propose a proactive optimization approach to manage the supply chain risk. The purpose of presented model in this paper is supplier selection with the objective of minimizing the total cost. We apply the multi sourcing strategy to avoid the supply disruption while restricting the selection by suppliers' corporate groups and the second-tier suppliers. We examine the model by different datasets. The findings suggest that this approach has more fficiency when the variance between suppliers' total cost is lower.