A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs

Author

Orides, M. ; Castro, Pablo A. D. ; Kato, Edilson R. R. ; Camargo, H.A.

Author_Institution

Federal Univ. of Sao Carlos, Sao Carlos

Volume

1

fYear

2006

fDate

8-11 Oct. 2006

Firstpage

56

Lastpage

61

Abstract

In the last decades automated guided vehicles (AGVs) have been widely used as automated material handling system in flexible manufacturing system (FMS) aiming to improve the use of factory´s resources, increase the productivity, decrease the lead time and maintain the delivery dates. However the definition of which AGV will attend which request is not an easy task. In this work, the authors propose a fuzzy system to decide which job the AGV will attend first based on some specific criteria. The fuzzy system is built automatically from numerical data by a genetic algorithm. The proposed approach was tested and validated by computer simulations in a FMS.

Keywords

automatic guided vehicles; flexible manufacturing systems; fuzzy set theory; genetic algorithms; industrial robots; materials handling; mobile robots; remotely operated vehicles; AGV; FMS; automated guided vehicles; automated material handling system; flexible manufacturing system; genetic algorithm; genetic fuzzy system; reactive dispatching rule; Computer science; Dispatching; Flexible manufacturing systems; Fuzzy systems; Genetic algorithms; Knowledge based systems; Navigation; Production systems; Vehicles; Workstations; Algorithms; Automated Guided Vehicle; Dispatching Rule; Flexible Manufacturing System; Fuzzy Rule-based Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

1-4244-0099-6

Electronic_ISBN

1-4244-0100-3

Type

conf

DOI

10.1109/ICSMC.2006.384358

Filename

4273805