Dynamic rescheduling using a simulation-based expert system

摘要

The development of a rule-based expert system (ES), driven by a discrete event simulation model that performs dynamic shop scheduling is described. Based on a flow time prediction heuristic that has been developed and base-line runs to establish the efficacy of scheduling strategies such as shortest processing time (SPT), critical ratio, total work, etc., a rescheduling-based dispatching strategy is investigated in a dynamic job shop environment. The results are discussed and analyzed.