{"title":"具有损失厌恶和概率加权效应的两阶段报贩问题","authors":"Cunwu Sun, Hongqing Ye, W. Weng, Qingwei Wang","doi":"10.1109/IEEM45057.2020.9309893","DOIUrl":null,"url":null,"abstract":"This paper studies a two-stage newsvendor problem with two suppliers, where the retailer’s loss aversion and probability weighting effects are considered. We solve the model by backward induction and derive the optimal order quantities in the first and second stages. We provide the prerequisites of the retailer’s selection between the two suppliers. We find that the optimal order quantity in the first stage decreases with the loss aversion coefficient and the capacity of the second-stage, and increases with the cost of the second-stage. As the coefficient of the probability weighting function increases, the optimal first-order quantity may increase or decrease.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-Stage Newsvendor Problem with Loss Aversion and Probability Weighting Effects\",\"authors\":\"Cunwu Sun, Hongqing Ye, W. Weng, Qingwei Wang\",\"doi\":\"10.1109/IEEM45057.2020.9309893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies a two-stage newsvendor problem with two suppliers, where the retailer’s loss aversion and probability weighting effects are considered. We solve the model by backward induction and derive the optimal order quantities in the first and second stages. We provide the prerequisites of the retailer’s selection between the two suppliers. We find that the optimal order quantity in the first stage decreases with the loss aversion coefficient and the capacity of the second-stage, and increases with the cost of the second-stage. As the coefficient of the probability weighting function increases, the optimal first-order quantity may increase or decrease.\",\"PeriodicalId\":226426,\"journal\":{\"name\":\"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM45057.2020.9309893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM45057.2020.9309893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-Stage Newsvendor Problem with Loss Aversion and Probability Weighting Effects
This paper studies a two-stage newsvendor problem with two suppliers, where the retailer’s loss aversion and probability weighting effects are considered. We solve the model by backward induction and derive the optimal order quantities in the first and second stages. We provide the prerequisites of the retailer’s selection between the two suppliers. We find that the optimal order quantity in the first stage decreases with the loss aversion coefficient and the capacity of the second-stage, and increases with the cost of the second-stage. As the coefficient of the probability weighting function increases, the optimal first-order quantity may increase or decrease.