Kanban optimization by simulation and evolution

被引：31

作者：

Köchel, P ^{[1
]}

Nieländer, U ^{[1
]}

机构：

[1] Tech Univ Chemnitz, Dept Comp Sci, D-09107 Chemnitz, Germany

来源：

PRODUCTION PLANNING & CONTROL | 2002年 / 13卷 / 08期

关键词：

Kanban systems; optimal design; simulation optimization; genetic algorithms;

D O I：

10.1080/0953728031000057334

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The problem of the optimal design of multistage systems with Kanban control mechanism is investigated. The optimization problem generalizes those from literature by considering a general criterion function and including the lot sizes as decision variables. Since no analytical solutions can be expected simulation combined with a genetic algorithm is used. The simulator KaSimIR as well as the optimization tool LEO are briefly described. Some examples demonstrate the usability of the approach.

引用

页码：725 / 734

页数：10

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