Genetically tuned fuzzy scheduling for flexible manufacturing systems.

被引：0

作者：

Erkmen, AM

Erbudak, M

Anlagan, O

Unver, O

机构：

来源：

1997 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION - PROCEEDINGS, VOLS 1-4 | 1997年

关键词：

intelligent scheduling; fuzzy logic sets; expert systems; genetic algorithms;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the development and implementation of a Genetically Tuned Fuzzy Scheduler (GTFS) for heterogeneous FMS under uncertainty. The scheduling system takes input from a table and creates an optimum master schedule. The GTFS uses fuzzy rulebase and inferencing where fuzzy sets are generated by a genetic algorithm to tune the optimization. The fuzzy optimization is based on time criticality in deadline and machine need, taking into account machine availability, uniformity, process time and selectability.

引用

页码：951 / 956

页数：6