Determination of number of kanbans in a supply chain system via Memetic algorithm

被引：12

作者：

Rabbani, M. ^{[1
]}

Layegh, J. ^{[1
]}

Ebrahim, R. Mohammad ^{[1
]}

机构：

[1] Univ Tehran, Dept Ind Engn, Tehran, Iran

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2009年 / 40卷 / 06期

关键词：

Kanban; Supply chain system (SCS); Mixed integer non-linear programming (MINLP); Heuristic; Memetic algorithm; MULTISTAGE;

D O I：

10.1016/j.advengsoft.2008.07.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this research multi-stage supply chain system which is controlled by kanban system, is evaluated. In kanban system, decision making is based on determination of the number of kanbans as well as batch sizes. This paper attempts to model supply chain system with regard to costs under just-in-time (JIT) production philosophy. Since adopted model is of mixed integer non-linear programming (MINLP) type and solving it by exact algorithm such as branch and bound (B&B) takes a lot of time, a heuristic method via Memetic algorithm (MA) is presented. Some problems are solved by our proposed MA to illustrate its performance. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：431 / 437

页数：7

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