TOWARDS AN ADAPTIVE KANBAN SYSTEM

被引：13

作者：

CHAUDHURY, A

WHINSTON, AB

机构：

[1] University of Texas, Austin, TX

[2] Institute, University of Texas, Austin, TX

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1990年 / 28卷 / 03期

关键词：

D O I：

10.1080/00207549008942729

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a control methodology for flow shops that is decentralized and adaptive in nature, and has low data handling and computational requirements. The methodology is based on stochastic automata methods for modelling learning behaviour. It is proposed that such a methodology can be used with Kanban type control technique to make flow shop systems more flexible and adaptive in nature, Relationship of the control model to computational models such as neural computing is discussed. © 1990 Taylor & Francis Group, LLC.

引用

页码：437 / 458

页数：22

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