Fuzzy Petri net-based optimum scheduling of FMS with human factors

Author

Xu, Jian-Xin

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

Volume

4

fYear

1996

fDate

11-13 Dec 1996

Firstpage

4451

Abstract

This paper presents a fuzzy Petri net used to model a flexible manufacturing system (FMS) with human factors. The human factors discussed are the total operation time, the product quality and the labor cost. The optimum schedule for the FMS is determined using the fuzzy reasoning algorithm. The discussion focusses on the basic ideas of how to use fuzzy Petri nets to model and schedule a FMS with human operators. Fuzzy Petri nets and associated fuzzy reasoning algorithm adopted in this work is based on the result of Chen et al. (1990). We demonstrate a simple FMS which deals with 2 job types associated with 2 processes each, 3 machines and 2 types of operators

Keywords

Petri nets; flexible manufacturing systems; fuzzy set theory; human factors; optimal control; production control; FMS; flexible manufacturing system; fuzzy Petri net-based optimum scheduling; fuzzy reasoning algorithm; human factors; labor cost; product quality; total operation time; Costs; Electronic switching systems; Flexible manufacturing systems; Fuzzy reasoning; Fuzzy systems; Human factors; Job shop scheduling; Manufacturing systems; Monitoring; Petri nets;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.577560

Filename

577560