Product Processing Prioritization In Hybrid Flow Shop Systems Using Mcdm And Simulation

Abstract

The manufacturing system, which produces products to quickly adapt to customers’ demand, needs to strive for on-time scheduling to gain customers’ satisfaction. In the manufacturing line, Flow shop system (FSS) contains of a set of operational scheduling which is required for the smooth operation of numerous jobs, each job is assigned to a different prioritize rule sequence before processed by machines by this method. This study is conducted to address the congested issue among machines which happens during the working hours in manufactures by applying the Discrete event simulation (DES) model in conjunction with priority rules based on multi-criteria decision making (MCDMs) and Composite Dispatching Rules (CDRs), FSS is expected to solve the problem. To reduce the Makespan, mean Flowtime, mean Tardiness, and maximum Tardiness, the flow shop system's performance is evaluated according to such criteria namely Cycle time, Set-up time, Due date, Order and Number of Operations. The suggested solution framework combines MCDM approaches, such as the technique for prioritize order by Complex Proportional Assessment (COPRAS), Multi-objective Optimization on the basis of Ratio Analysis (MOORA), and VIekriteri-jumsko KOmpromisno Rangiranje (VIKOR), separately to prioritize the jobs, and with Criteria Importance Through Inter-Criteria Correlation (CRITIC) for allocating weights to the criteria. In conclusion, after the examination, there is no rule that satisfies all objectives.