Creating a Knowledge Base to Support the Concept of Lean Manufacturing Using Expert System NEST

被引：0

作者：

Dolak, Radim ^{[1
]}

Gorecki, Jan ^{[1
]}

Slechan, Lukas ^{[1
]}

Kubat, Michael ^{[1
]}

机构：

[1] Silesian Univ Opava, Sch Business Adm Karvina, Karvina, Czech Republic

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, ICCCI 2014 | 2014年 / 8733卷

关键词：

lean company; lean manufacturing; expert systems; knowledge base;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article deals with lean manufacturing principles and its model. We describe basic principles, metrics and rules for creating lean manufacturing knowledge base. The case study included in this paper deals with creating of a knowledge base that supports an implementation of the concept of lean manufacturing. The knowledge base could be used for identification of waste in each level of production areas. The knowledge base also can be used for a recommendation of appropriate methods and tools of industrial engineering to reduce the waste. The knowledge base is build using the expert system NEST.

引用

页码：243 / 251

页数：9

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