A simple and better algorithm to solve the vendor managed inventory control system of multi-product multi-constraint economic order quantity model

被引：73
作者：
Eduardo Cardenas-Barron, Leopoldo [1 ]
Trevino-Garza, Gerardo [2 ]
Wee, Hui Ming [3 ]
机构：
[1] Inst Tecnol & Estudios Super Monterrey, Dept Ind & Syst Engn, Monterrey 64849, NL, Mexico
[2] Inst Tecnol & Estudios Super Monterrey, Dept Management, Sch Business, Monterrey 64849, NL, Mexico
[3] Chung Yuan Christian Univ, Dept Ind & Syst Engn, Chungli 32023, Taiwan
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 03期
关键词：
Genetic algorithms; Heuristic algorithms; EOQ; Vendor management inventory; Nonlinear integer programming; DIFFERENTIAL EVOLUTION; GENETIC ALGORITHM;
D O I：
10.1016/j.eswa.2011.09.057
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This research presents an alternative heuristic algorithm to solve the vendor management inventory system with multi-product and multi-constraint based on EOQ with backorders considering two classical backorders costs: linear and fixed. For this type of inventory system, the optimization problem is a nonlinear integer programming (NLIP). Several numerical examples are given to demonstrate that the proposed heuristic algorithm is better than the previous genetic algorithm published based on three aspects: the total cost, the number of evaluations of the total cost function and computational time. Furthermore, the proposed algorithm is simpler and can be implemented by any people. (C)0 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3888 / 3895
页数：8
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