Optimization of Flow Shop Scheduling Problem using Tabu Search Algorithm: A Case Study

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S.S. Dewi, A. Andriansyah, S. Syahriza

2019 IOP Conference Series: Materials Science and Engineering Vol. 506 Issue 1 Conference paper Cited by 3 SDG 16 Quartile

Abstract

This study discusses about scheduling of dining chair processing in a company. Products have been completed according to customer wishes. The problem is classified as flow shop scheduling problem. This paper considers a special case of a six machines of general flow shop scheduling problem which processing time of each job has the longest idle time and waiting time which causes makespan of dinning chair to be high. The goal of this problem is to minimize makespan of product processing. tabu search (TS) algorithm is used to solve this problem. Then performance of tabu search algorithm is compared with Campbell Dudek Smith (CDS) algorithm from literatures. Result shows that tabu search algorithm can improve the makespan in 1968 seconds. This result more effective compare to CDS algorithm that takes longer times 2064 seconds. Tabu search algorithm saving 4.6% makespan with the fastest computing time. © Published under licence by IOP Publishing Ltd.

Affiliations

Industrial Engineering Department, Faculty of Engineering, Universitas Syiah Kuala, Darussalam, Banda Aceh, 23114, Indonesia; Laboratory of Industrial Computation and Optimization, Universitas Syiah Kuala, Darussalam, Banda Aceh, 23114, Indonesia

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