OPAL - A MULTI-KNOWLEDGE-BASED SYSTEM FOR INDUSTRIAL JOB-SHOP SCHEDULING

被引：41

作者：

BENSANA, E

BEL, G

DUBOIS, D

机构：

[1] Cent d'Etudes et De Recherches de, Toulouse, Toulouse, Fr, Cent d'Etudes et De Recherches de Toulouse, Toulouse, Fr

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1988年 / 26卷 / 05期

关键词：

COMPUTER SOFTWARE - MANAGEMENT - Information Systems - SCHEDULING - Computer Applications - SYSTEMS SCIENCE AND CYBERNETICS - Man Machine Systems;

D O I：

10.1080/00207548808947904

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A job-shop scheduling software currently under development is described, based on artificial intelligence programming techniques. The idea is to be able to make three kinds of knowledge cooperate in the derivation of a feasible schedule: theoretical knowledge (issued form scheduling theory) which achieves the management of time; empirical knowledge about priority rules and their influence on production objectives; and practical knowledge (provided by shop-floor managers) about technological constraints to be satisfied in a given application. The latter is usually not considered in pure operations research algorithms. The system is actually implemented in COMMON LISP and runs on a Texas Explorer LISP Machine and a SUN workstation. Computational results are reported.

引用

页码：795 / 819

页数：25