Integrated design and operation of remnant inventory supply chains under uncertainty

作     者：Rajgopal, Jayant Wang, Zhouyan Schaefer, Andrew J. Prokopyev, Oleg A. 

作者机构：Univ Pittsburgh Dept Ind Engn Pittsburgh PA 15261 USA Amer Express Phoenix AZ 85021 USA 

出 版 物：《EUROPEAN JOURNAL OF OPERATIONAL RESEARCH》 (欧洲运筹学杂志)

年 卷 期：2011年第214卷第2期

页      面：358-364页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：National Science Foundation [DMI 0217190] US Air Force Office of Scientific Research [FA95500810268] Directorate For Engineering Div Of Civil, Mechanical, & Manufact Inn Funding Source: National Science Foundation 

主　　题：Remnant inventory Stochastic programming Mixed integer programming 

摘      要：We consider the simultaneous design and operation of remnant inventory supply chains. Remnant inventory is generated when demand for various lengths of a product may be satisfied by existing inventory, or by cutting a large piece into smaller pieces. We formulate our problem as a two-stage stochastic mixed-integer program. In solving our stochastic program, we enhance the standard L-shaped method in two ways. Our computational experiments demonstrate that these enhancements are effective, dramatically reducing the solution time for large instances. (C) 2011 Elsevier B.V. All rights reserved.