The distributionally robust newsvendor problem with dual sourcing under carbon tax and cap-and-trade regulations

被引:54
作者
Bai, Qingguo [1 ,2 ]
Chen, Mingyuan [3 ]
机构
[1] Qufu Normal Univ, Sch Management, 80 Yantai Rd, Rizhao 276826, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Management, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
[3] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Carbon emission; Newsvendor; Distributionally robust; Carbon tax; Cap-and-trade; FREE NEWSBOY PROBLEM; MODEL; OPTIMIZATION; INFORMATION; SYSTEM; ORDER;
D O I
10.1016/j.cie.2016.05.042
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Both carbon tax and cap-and-trade regulations as carbon emissions reduction schemes are widely adopted and implemented in practice. Based on the dual sourcing newsvendor framework, this paper proposes two distributionally robust newsvendor models under those two carbon regulations. The optimal order quantity and carbon emissions of each model are derived by using a maximin expected profit method, and comparisons of the profits between the models with and without carbon emission regulations are provided. It is observed that the carbon tax regulation will lead to a lower profit while adjusting the value of carbon cap leads to comparable profits between the model under cap-and-trade regulation and that without carbon emission consideration. Finally, several numerical examples are presented to illustrate the analytical results and the models developed herein. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:260 / 274
页数:15
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