Distributionally Robust Newsvendor Model for Fresh Products under Cap-and-Offset Regulation

被引：2
作者：
Zhao, Xuan [1 ,2 ]
Xu, Jianteng [2 ]
Lu, Hongling [2 ]
机构：
[1] Yantai Nanshan Univ, Coll Business, Yantai 265713, Peoples R China
[2] Qufu Normal Univ, Sch Management, Rizhao 276826, Peoples R China
来源：
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2023年 / 136卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Distributionally robust optimization; KKT conditions; cap-and-offset regulation; fresh products; CARBON EMISSION REDUCTION; SUPPLY CHAIN; DECISIONS; REPLENISHMENT; COORDINATION; INFORMATION; POLICIES; QUALITY;
D O I：
10.32604/cmes.2023.025828
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The cap-and-offset regulation is a practical scheme to lessen carbon emissions. The retailer selling fresh products can adopt sustainable technologies to lessen greenhouse gas emissions. We aim to analyze the optimal joint strategies on order quantity and sustainable technology investment when the retailer faces stochastic market demand and can only acquire the mean and variance of distribution information. We construct a distributionally robust optimization model and use the Karush-Kuhn-Tucker (KKT) conditions to solve the analytic formula of optimal solutions. By comparing the models with and without investing in sustainable technologies, we examine the effect of sustainable technologies on the operational management decisions of the retailer. Finally, some computational examples are applied to analyze the impact of critical factors on operational strategies, and some managerial insights are given based on the analysis results.
引用
收藏
页码：1813 / 1833
页数：21
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