Dynamic supply chain network design with capacity planning and multi-period pricing

被引：66

作者：

Fattahi, Mohammad ^{[1
,2
]}

Mahootchi, Masoud ^{[1
]}

Govindan, Kannan ^{[2
]}

Husseini, Seyed Mohammad Moattar ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Ind Engn & Management Syst, Tehran, Iran

[2] Univ Southern Denmark, Dept Econ & Business, Odense, Denmark

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2015年 / 81卷

关键词：

Dynamic supply chain network design; Capacity planning; Multi-period pricing approach; Simulated annealing; Linear relaxation-based heuristics; FACILITY LOCATION; WAREHOUSE LOCATION; HEURISTIC APPROACH; SENSITIVE DEMAND; ROUTING PROBLEM; PLANT LOCATION; MODEL; INVENTORY; MANAGEMENT; DECISIONS;

D O I：

10.1016/j.tre.2015.06.007

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper addresses a new problem in designing and planning a multi-echelon and multi-product supply chain network over a multi-period horizon in which customer zones have price-sensitive demands. Based on price-demand relationships, a generic method is presented to obtain price levels for products and then, a mixed-integer linear programming model is developed. Due to the problem intractability, a simulated annealing algorithm that uses some developed linear relaxation-based heuristics for capacity planning and pricing is presented. Numerical results demonsfrate the significance of the model as well as the efficiency of the solution algorithm and linear relaxation-based heuristics. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：169 / 202

页数：34

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