J. C. Villumsen, Atsuki Kiuchi, Yuma Shiho, Junko Hosoda, Takahiro Ogura
{"title":"A Combinatorial Auctions Approach to Capacity Sharing in Collaborative Supply Chains","authors":"J. C. Villumsen, Atsuki Kiuchi, Yuma Shiho, Junko Hosoda, Takahiro Ogura","doi":"10.1109/CASE49439.2021.9551538","DOIUrl":null,"url":null,"abstract":"In supply chains the collaboration between manufacturing companies is crucial to ensure resilient and efficient operation in the face of uncertainty. This is especially true for manufacturers with global supply chains in highly competitive markets with fluctuating demand. We develop a novel approach to sharing of manufacturing capacity in supply chains. The approach is based on combinatorial auctions in which suppliers and buyers submit bids for manufacturing capacity. We present the mixed integer programming formulation of the winner determination problem and evaluates the efficiency and complexity of the approach on several realistic instances. We find that the number of accepted bids increases up to 10-fold compared to a situation without capacity sharing.","PeriodicalId":232083,"journal":{"name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE49439.2021.9551538","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
In supply chains the collaboration between manufacturing companies is crucial to ensure resilient and efficient operation in the face of uncertainty. This is especially true for manufacturers with global supply chains in highly competitive markets with fluctuating demand. We develop a novel approach to sharing of manufacturing capacity in supply chains. The approach is based on combinatorial auctions in which suppliers and buyers submit bids for manufacturing capacity. We present the mixed integer programming formulation of the winner determination problem and evaluates the efficiency and complexity of the approach on several realistic instances. We find that the number of accepted bids increases up to 10-fold compared to a situation without capacity sharing.