Bongomin O, Mwasiagi JI, Nganyi EO, Nibikora I (2020) Simulation metamodeling approach to complex design of garment assembly lines. PLoS ONE 15(9): e0239410. https://doi.org/10.1371/journal.pone.0239410
Bongomin O, Mwasiagi JI, Nganyi EO, Nibikora I (2020) Simulation metamodeling approach to complex design of garment assembly lines. PLoS ONE 15(9): e0239410. https://doi.org/10.1371/journal.pone.0239410
Bongomin O, Mwasiagi JI, Nganyi EO, Nibikora I (2020) Simulation metamodeling approach to complex design of garment assembly lines. PLoS ONE 15(9): e0239410. https://doi.org/10.1371/journal.pone.0239410
Bongomin O, Mwasiagi JI, Nganyi EO, Nibikora I (2020) Simulation metamodeling approach to complex design of garment assembly lines. PLoS ONE 15(9): e0239410. https://doi.org/10.1371/journal.pone.0239410
Abstract
The today competitive advantage of Ready-made garment industries depends on the ability to improve the efficiency and effectiveness of resource utilization. Ready-made garment industries have long historically adopted fewer technological and process advancement as compared to automotive, electronics and semiconductor industries. Simulation modeling of garment assembly line system has attracted a number of researchers as one way for insightful analysis of system behaviour and improving its performance. However, most of simulation studies have considered ill-defined experimental design which cannot fully explore the assembly line design alternatives and does not uncover the interaction effects of the input variables. Simulation metamodeling is an approach to assembly line design which has recently been of interest to so many researchers. However, its application in garment assembly line design has never been well explored. In this paper, simulation metamodeling of trouser assembly line with 72 operations has been demonstrated. The linear regression metamodel technique with resolution-V design was used. The effects of five factors: bundle size, job release policy, task assignment pattern, machine number and helper number on the production throughput of the trouser assembly line were studied. The increase of 28.63% of the production throughput was achieved for the best factors’ setting of the metamodel.
Engineering, Industrial and Manufacturing Engineering
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