Development and analysis of fuzzy priority rules for scheduling a dynamic job shop production system

Author

Vinod, V. ; Sridharan, R.

Author_Institution

Dept. of Mech. Eng., N.S.S. Coll. of Eng., Palakkad, India

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1418

Lastpage

1422

Abstract

This paper focuses on development and analysis of scheduling rules using fuzzy logic for scheduling a dynamic job shop. A discrete-event simulation model is developed for the purpose of experimentation. Six scheduling rules from the literature are incorporated in the simulation model. Three scheduling rules using fuzzy logic approach have been developed and analyzed. The max-min composition method is used for determining the fuzzy priorities. The fuzzy based scheduling rules perform better for mean flow time measure. One of the fuzzy based rules performs better for mean tardiness and percentage of tardy jobs.

Keywords

discrete event simulation; fuzzy logic; fuzzy set theory; job shop scheduling; minimax techniques; discrete-event simulation model; dynamic job shop production system scheduling rule; fuzzy logic approach; fuzzy priority rule; fuzzy set theory; max-min composition method; mean flow time measure; mean job tardiness; Discrete event simulation; Dispatching; Dynamic scheduling; Fluid flow measurement; Fuzzy logic; Fuzzy systems; Job production systems; Job shop scheduling; Mechanical engineering; Time measurement; Discrete-event simulation; dynamic job shop scheduling; fuzzy logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-2629-4

Electronic_ISBN

978-1-4244-2630-0

Type

conf

DOI

10.1109/IEEM.2008.4738104

Filename

4738104