Simulation Metamodeling Approach to Complex Design of Garment Assembly Lines

Autor: Josphat Igadwa Mwasiagi, Ocident Bongomin, Eric Oyondi Nganyi, Ildephonse Nibikora
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Technology
Computer science
industrial_manufacturing_engineering
Knees
Automotive industry
Computer Applications
Mathematical and Statistical Techniques
Skeletal Joints
Medicine and Health Sciences
Discrete event simulation
Musculoskeletal System
Throughput (business)
Multidisciplinary
Simulation and Modeling
Experimental Design
Statistics
Software Engineering
Industrial engineering
Research Design
Physical Sciences
Regression Analysis
Engineering and Technology
Legs
Medicine
Anatomy
Research Article
Computer Modeling
Computer and Information Sciences
Process (engineering)
Science
Linear Regression Analysis
Research and Analysis Methods
Competitive advantage
Clothing
Computer Software
Industry
Electronics
Statistical Methods
Computerized Simulations
Skeleton
Models
Statistical
business.industry
Simulation modeling
Biology and Life Sciences
Probability Theory
Probability Distribution
Metamodeling
Body Limbs
Linear Models
business
Mathematics
Zdroj: PLoS ONE, Vol 15, Iss 9, p e0239410 (2020)
PLoS ONE
Popis: 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.
Databáze: OpenAIRE
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