Abstract
Facility layout optimization is used to increase company productivity by minimizing waste on transportation, movement, and waiting time. It was mentioned in several previous studies that optimal facility layout can reduce production costs by up to 40%. Because of this importance, many previous researchers have carried out research in the field of Facility Layout. The differences between each Facility Layout research are in the characteristics and criteria being analyzed and the optimization method used. The several approaches used to optimize the layout are constructed algorithm, exact algorithm, and metaheuristic. These three methods have their respective purposes and to the best of our knowledge have not been used sequentially. So, this study aims to find the best layout for the double-row facility problem with aisle width consideration using three sequential methods. There are BLOCPLAN for the constructed algorithm, solver for the exact algorithm, and Particle Swarm Optimization (PSO) for the metaheuristic. The result shows that the use of BLOCPLAN gives a better result of Total Material Handling Cost (TMHC) in PSO. For more machines, PSO has better results than Gurobi Optimization.
Publisher
Universitat Politecnica de Valencia
Reference25 articles.
1. Brunoro Ahumada, C., Quddus, N., & Mannan, M. S. (2018). A method for facility layout optimisation including stochastic risk assessment. Process Safety and Environmental Protection, 117, 616-628. https://doi.org/10.1016/j.psep.2018.06.004
2. Cravo, G. L., De Castro Bissoli, D., & Amaral, A. R. S. (2021). Two-phase hybrid particle swarm optimization applied to the double row layout problem. Inteligencia Artificial, 24(67), 51-70. https://doi.org/10.4114/intartif.vol24iss67pp51-70
3. Dharsono, W. W. (2016). Analisa Tata Letak Fasilitas Produksi Untuk Meminimumkan Biaya Proses Produksi Mebel (Studi Kasus di PT Karya Papua). Jurnal Teknologi Dan Rekayasa, 1(2), 51-60.
4. Erik, A., & Kuvvetli, Y. (2021). Integration of material handling devices assignment and facility layout problems. Journal of Manufacturing Systems, 58(PA), 59-74. https://doi.org/10.1016/j.jmsy.2020.11.015
5. Grobelny, J., & Rafal Michalski. (2017). A novel version of simulated annealing based on linguistic patterns for solving facility layout problems. Knowl. Based Syst, 55-69. https://doi.org/10.1016/j.knosys.2017.03.001