Simulation Modeling of Manufacturing System in Relation to Route Flexibility Degree, Open Rate of Operations and Production Type

Abstract

In the paper the influence of route flexibility degree, open rate of operations and production type coefficient on makespan is discussed. The flexible job-open shop scheduling problem FJOSP (an extension of the classical job shop scheduling) is analyzed. For the analysis of the production process the GRASP (greedy randomized adaptive search procedure) and simulated annealing heuristic algorithms were used. Experiments with different levels of factors have been considered and compared. The presented algorithms have been tested, and illustrated with examples for serial route.

Production simulator system for flexible routing optimization in flexible manufacturing systems

“…27 In Cogill and Hindi, 28 the study presented a linear program formulation for maximum throughput routing and scheduling problem. Flexibility situation for a hypothetical FMS was studied in Bilge et al 29 In addition, the influence of route flexibility degree, open rate of operations, and production type coefficient on makespan was discussed in Witkowski et al 30 In addition, new routing rules were developed that are suitable for the situations in which sequence-dependent setup times exist in dynamic flexible job shop scheduling problem. 31…”

On multistage approach for flexible routing in flexible manufacturing systems

“…A linear program formulation for maximum throughput routing and scheduling problem was presented in Cogill and Hindi. 25 Flexibility situation for a hypothetical FMS was studied in Bilge et al 26 In addition, the influence of route flexibility degree, open rate of operations, and production-type coefficient on make-span was discussed in Witkowski et al 27 A new routing rules that are suitable for the situations in which sequencedependent setup times exist in dynamic flexible job shop scheduling problem were developed by Shalaby et al 28 Also, Wong et al 29 introduced a joint production scheduling approach that considered multiple resources and preventive maintenance tasks. However, despite the many existing research studies for the flexible routing optimization, no previous study solved this kind of problem using the prediction model applied in this work.…”