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

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.