Modeling human performance using simulation at aircraft manufacturing system

Manufacturing sectors play one of the important roles in generating economics in Malaysia. In aircraft composite manufacturing, an assembly line, especially in layup processes, is critical and requires high skill workers and a huge amount of capital and cost. However, the resignation of expert worke...

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Main Author: Zunnadrah, Zolkepley
Format: Thesis
Language:eng
eng
Published: 2021
Subjects:
Online Access:https://etd.uum.edu.my/10132/1/s818968_01.pdf
https://etd.uum.edu.my/10132/2/s818968_02.pdf
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id my-uum-etd.10132
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spelling my-uum-etd.101322022-12-14T08:18:05Z Modeling human performance using simulation at aircraft manufacturing system 2021 Zunnadrah, Zolkepley Mat Desa, Wan Laailatul Hanim Mohd Nawawi, Mohd Kamal Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Art & Sciences TS155-194 Production management. Operations management HF5549-5549.5 Personnel Management. Employment Manufacturing sectors play one of the important roles in generating economics in Malaysia. In aircraft composite manufacturing, an assembly line, especially in layup processes, is critical and requires high skill workers and a huge amount of capital and cost. However, the resignation of expert workers will impact the human performance in an assembly line which can cause the bottleneck problems, the decline of throughput rates and the increased number of scrapped parts. Therefore, this research develops a hybrid simulation model to analyze the human performance at the assembly line in aircraft composite manufacturing by integrating discrete-event simulation (DES) and system dynamics (SD), namely I-SIMHUPAL. The DES model was run using Arena to get the outputs to cater for the operational level of the assembly line. Then, the outputs such as Work in Process (WIP) and the number of throughput were considered as input data in the SD model. Next, the SD model was run using Vensim to determine the worker workload, skill matured time, and number of required new and expert workers. The SD model was used to measure human performance. The number of throughput from SD model was used again as input data in the DES model to identify a suitable target production based on the number of available new and expert workers. The result showed the number of throughput declined 0.72% and WIP of Product A decreased 0.95% in the assembly line when the number of expert workers decreases. The models help the management identify the human performance in improving the quality of the production at an assembly line. The findings of this study can guide authorities to improve the human performance in an assembly line. 2021 Thesis https://etd.uum.edu.my/10132/ https://etd.uum.edu.my/10132/1/s818968_01.pdf text eng 2024-12-21 staffonly https://etd.uum.edu.my/10132/2/s818968_02.pdf text eng public other masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Mat Desa, Wan Laailatul Hanim
Mohd Nawawi, Mohd Kamal
topic TS155-194 Production management
Operations management
TS155-194 Production management
Operations management
spellingShingle TS155-194 Production management
Operations management
TS155-194 Production management
Operations management
Zunnadrah, Zolkepley
Modeling human performance using simulation at aircraft manufacturing system
description Manufacturing sectors play one of the important roles in generating economics in Malaysia. In aircraft composite manufacturing, an assembly line, especially in layup processes, is critical and requires high skill workers and a huge amount of capital and cost. However, the resignation of expert workers will impact the human performance in an assembly line which can cause the bottleneck problems, the decline of throughput rates and the increased number of scrapped parts. Therefore, this research develops a hybrid simulation model to analyze the human performance at the assembly line in aircraft composite manufacturing by integrating discrete-event simulation (DES) and system dynamics (SD), namely I-SIMHUPAL. The DES model was run using Arena to get the outputs to cater for the operational level of the assembly line. Then, the outputs such as Work in Process (WIP) and the number of throughput were considered as input data in the SD model. Next, the SD model was run using Vensim to determine the worker workload, skill matured time, and number of required new and expert workers. The SD model was used to measure human performance. The number of throughput from SD model was used again as input data in the DES model to identify a suitable target production based on the number of available new and expert workers. The result showed the number of throughput declined 0.72% and WIP of Product A decreased 0.95% in the assembly line when the number of expert workers decreases. The models help the management identify the human performance in improving the quality of the production at an assembly line. The findings of this study can guide authorities to improve the human performance in an assembly line.
format Thesis
qualification_name other
qualification_level Master's degree
author Zunnadrah, Zolkepley
author_facet Zunnadrah, Zolkepley
author_sort Zunnadrah, Zolkepley
title Modeling human performance using simulation at aircraft manufacturing system
title_short Modeling human performance using simulation at aircraft manufacturing system
title_full Modeling human performance using simulation at aircraft manufacturing system
title_fullStr Modeling human performance using simulation at aircraft manufacturing system
title_full_unstemmed Modeling human performance using simulation at aircraft manufacturing system
title_sort modeling human performance using simulation at aircraft manufacturing system
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2021
url https://etd.uum.edu.my/10132/1/s818968_01.pdf
https://etd.uum.edu.my/10132/2/s818968_02.pdf
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