Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles

Author

Tan, K.K. ; Tan, K.C. ; Tang, K.Z.

Author_Institution

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

Volume

Issue

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

632

Lastpage

636

Abstract

This paper develops a novel genetic algorithm (GA) based methodology for optimal tuning of a reported fuzzy dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment. The reported dispatching rules are transformed into a continuously adaptive procedure to capitalize the on-line information available from a shop floor at all times. Simulation results obtained show that the GA is very powerful and effective to achieve optimal fuzzy dispatching rules for higher shop floor productivity and operational efficiency

Keywords

Automatic guided vehicles; Dispatching; Evolutionary computation; Genetic algorithms; Transportation; automated guided vehicles; flexible manufacturing environment; fuzzy dispatching system; genetic algorithm; optimal tuning; Dispatching; Flexible manufacturing systems; Fuzzy logic; Fuzzy systems; Genetic algorithms; Job shop scheduling; Manufacturing automation; Productivity; Pulp manufacturing; Vehicles;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.865187

Filename

865187

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1376021