Track: Undergraduate Student Paper Competition

Abstract

In manufacturing system, a developed form of Flow Shop known as a Hybrid Flow shop System (HFS) allows the simultaneous operation of many identical machines on each stage. Duplicators are used to scale up a factory, increase output, balance a production line, or reduce the impact of a bottleneck. Several industries, including automotive, accessories and electronics, make extensive use of HFS. This study addresses the schedulingamong machines in the HFS by applying the Discrete event simulation (DES) modeling in conjunction with priority rules based on Multi-Criteria Decision Making (MCDMs) and Composite Dispatching Rules (CDRs). The model aims to reduce the Makespan, mean Flowtime, mean Tardiness, and maximum Tardiness considering multi 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 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.