A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations

作     者：Li, Xiaohong Yang, Dong Hu, Mengqi 

作者机构：Donghua Univ Sch Business & Management 1882 Yan An Rd Shanghai 200051 Peoples R China Univ Illinois Dept Mech & Ind Engn 842 W Taylor St Chicago IL 60607 USA 

出 版 物：《TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW》 (运输研究E部分：后勤学与运输评论)

年 卷 期：2018年第115卷

页      面：126-146页

核心收录：

学科分类：0201[经济学-理论经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

基　　金：National Natural Science Foundation of China 

主　　题：Product configuration Stochastic programming Benders decomposition algorithm Carbon emission 

摘      要：To handle the product configuration problem with uncertain supply and demand, stochastic programming approach is applied to formulate the problem as a stochastic mixed-integer programming model. Carbon emission is further integrated into the deployed stochastic model under four different carbon emission regulations. Benders decomposition algorithm is utilized to solve the stochastic model. Computational studies show that the Benders decomposition method can solve large-scale stochastic programming problems with faster convergence rate than commercial solver CPLEX does. The results from the numerical experimental analysis demonstrate the impacts of carbon emission regulations on product configuration decisions.