An expert system prototype for the selection of scheduling methods

Author

Romanowicz, Rafal ; Jacot, Jacques ; Hertz, Alain ; Verdebout, Eric

Author_Institution

Dept. of Micro-Eng., Swiss Fed. Inst. of Technol., Lausanne, Switzerland

fYear

1997

fDate

9-12 Sep 1997

Firstpage

189

Lastpage

194

Abstract

Taking into account scheduling-related constraints is becoming important in today´s manufacturing environment, both for the design of products and manufacturing systems. We present a new expert system prototype, called SMCT, that aids designers in evaluating the constraints and requirements of their scheduling problem, and that helps them in selecting an efficient scheduling method (SM) for their production line, We present the main fuzzy proposition inference approach, which is used to represent and infer knowledge. We then present an industrial automated assembly case study, before concluding with future developments

Keywords

computer aided production planning; expert systems; inference mechanisms; knowledge representation; production control; SMCT; expert system prototype; fuzzy proposition inference approach; industrial automated assembly; knowledge inference; knowledge representation; manufacturing; production line; scheduling method selection; scheduling-related constraints; Assembly; Expert systems; Fuzzy systems; Hybrid intelligent systems; Job shop scheduling; Manufacturing systems; Product design; Production systems; Prototypes; Samarium;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-4192-9

Type

conf

DOI

10.1109/ETFA.1997.616267

Filename

616267