Application of particle swarm intelligence algorithms in supply chain network architecture optimization

被引：56
|
作者：
Kadadevaramath, Rajeshwar S. [1 ]
Chen, Jason C. H. [2 ]
Shankar, B. Latha [1 ]
Rameshkumar, K. [3 ]
机构：
[1] Siddaganga Inst Technol, Tumkur 572103, Karnataka, India
[2] Gonzaga Univ, Grad Sch Business, Spokane, WA 99258 USA
[3] Amritha Sch Engn, Dept Mech Engn, Coimbattore 641105, Tamil Nadu, India
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 11期
关键词：
Supply chain management; Particle swarm optimization/intelligence; Integration; Optimization; INTEGRATED PRODUCTION; MANAGEMENT; INVENTORY; LOGISTICS; DESIGN; SYSTEM; COSTS;
D O I：
10.1016/j.eswa.2012.02.116
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In today's globalization, the success of an industry is dependent on cost effective supply chain management under various markets, logistics and production uncertainties. Uncertainties in the supply chain usually decrease profit, i.e. increase total supply chain cost. Demand uncertainty and constraints posed by the every echelon are important factors to be considered in the supply chain design operations. Optimization is no longer a luxury but has become the order of the day. This paper specifically deals with the modeling and optimization of a three echelon supply chain network using the particle swarm optimization/intelligence algorithms. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：10160 / 10176
页数：17
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