An integrated supply chain production-distribution planning with stochastic demands

被引：49
|
作者：
Nasiri, G. Reza [1 ]
Zolfaghari, Rohollah [1 ]
Davoudpour, Hamid [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Ind Engn & Management Syst, Tehran, Iran
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2014年 / 77卷
关键词：
Supply chain management; Production-distribution planning; Lagrangian Relaxation; Genetic algorithm; Hierarchical planning; HYBRID GENETIC ALGORITHM; NETWORK DESIGN; MULTIOBJECTIVE OPTIMIZATION; FACILITY LOCATION; MULTITIME PERIOD; MODEL; FORMULATION; MANAGEMENT; ALLOCATION; DECISIONS;
D O I：
10.1016/j.cie.2014.08.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper a three echelon supply chain with multiple distribution centers, production sites and suppliers is modeled. For this supply chain several commodities with defined items is produced. The model is categorized as a capacitated facility location model. The hierarchical approach is used to modeling and based on decision types the model is divided into two levels. The solution approach is based on the Lagrangian Relaxation approach, improved by an efficient heuristic to solve complex sub-problems. Computational results indicated that the proposed method yields high-quality solutions within a reasonable computational time for various real size problems. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：35 / 45
页数：11
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