Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing

Manufacturing complexity has become more challenging with increased in demand fluctuation, product customisation and shorter lead time expectation. It is becoming more crucial to measure manufacturing complexity to better recognise and control the various manufacturing components to achieve optimum...

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Main Author:	Abdullah, Rohana
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General) TS Manufactures
Online Access:	http://eprints.utem.edu.my/id/eprint/21906/1/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing%20-%20Rohana%20Abdullah%20-%2024%20pages.pdf http://eprints.utem.edu.my/id/eprint/21906/2/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing.pdf
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id	my-utem-ep.21906
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) TS Manufactures
spellingShingle	T Technology (General) TS Manufactures Abdullah, Rohana Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
description	Manufacturing complexity has become more challenging with increased in demand fluctuation, product customisation and shorter lead time expectation. It is becoming more crucial to measure manufacturing complexity to better recognise and control the various manufacturing components to achieve optimum manufacturing performance. Cellular manufacturing or group technology is a method used to manage manufacturing complexity based on clustering of different types of equipment to process parts. The organizational structure of cellular manufacturing will always need to be flexible for reconfiguration to address rapid changes in customer requirement especially in managing its dual constraints; human and machine. Very often, the human component is overlooked or overestimated due to poor understanding of the effects of human constraints and lack of study is linked to the difficulty to model human’s behaviour. The purpose of this study is to develop a human system model to fill the gap in the study of human constraints on cellular manufacturing’s performance. As such, a new human system framework focusing on the aspects of human dynamics and attributes was designed to be integrated with the predetermined time standards system in an expert system, eMOST. The new human system model was evaluated for applicability at the actual manufacturing environment through five case studies where accurate labour utilisation and man-machine configuration information were conceived. Thus, the newly defined approach was able to efficiently improve data capture, analysis and model human constraints. The human information from the model was integrated with other manufacturing resources using WITNESS simulation modelling tool focusing on the bottleneck area to further evaluate the dynamic impact of these components on the manufacturing performance. Simulation modelling experiments use has also proven advantageous to change manufacturing configurations and run alternative scenarios to improve the efficiency of the system in terms of the throughput, cycle time, operator utilisation and man-machine configuration. The findings of this study enabled the management to make good decisions to efficiently manage the human resource and better predictions to reconfigure and competently manage resources allocation.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdullah, Rohana
author_facet	Abdullah, Rohana
author_sort	Abdullah, Rohana
title	Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
title_short	Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
title_full	Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
title_fullStr	Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
title_full_unstemmed	Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing
title_sort	human system modelling for labour utilisation and man-machine configuration at cellular manufacturing
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/21906/1/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing%20-%20Rohana%20Abdullah%20-%2024%20pages.pdf http://eprints.utem.edu.my/id/eprint/21906/2/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing.pdf
_version_	1747834015750029312
spelling	my-utem-ep.219062022-02-21T11:48:28Z Human System Modelling For Labour Utilisation And Man-Machine Configuration At Cellular Manufacturing 2017 Abdullah, Rohana T Technology (General) TS Manufactures Manufacturing complexity has become more challenging with increased in demand fluctuation, product customisation and shorter lead time expectation. It is becoming more crucial to measure manufacturing complexity to better recognise and control the various manufacturing components to achieve optimum manufacturing performance. Cellular manufacturing or group technology is a method used to manage manufacturing complexity based on clustering of different types of equipment to process parts. The organizational structure of cellular manufacturing will always need to be flexible for reconfiguration to address rapid changes in customer requirement especially in managing its dual constraints; human and machine. Very often, the human component is overlooked or overestimated due to poor understanding of the effects of human constraints and lack of study is linked to the difficulty to model human’s behaviour. The purpose of this study is to develop a human system model to fill the gap in the study of human constraints on cellular manufacturing’s performance. As such, a new human system framework focusing on the aspects of human dynamics and attributes was designed to be integrated with the predetermined time standards system in an expert system, eMOST. The new human system model was evaluated for applicability at the actual manufacturing environment through five case studies where accurate labour utilisation and man-machine configuration information were conceived. Thus, the newly defined approach was able to efficiently improve data capture, analysis and model human constraints. The human information from the model was integrated with other manufacturing resources using WITNESS simulation modelling tool focusing on the bottleneck area to further evaluate the dynamic impact of these components on the manufacturing performance. Simulation modelling experiments use has also proven advantageous to change manufacturing configurations and run alternative scenarios to improve the efficiency of the system in terms of the throughput, cycle time, operator utilisation and man-machine configuration. The findings of this study enabled the management to make good decisions to efficiently manage the human resource and better predictions to reconfigure and competently manage resources allocation. 2017 Thesis http://eprints.utem.edu.my/id/eprint/21906/ http://eprints.utem.edu.my/id/eprint/21906/1/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing%20-%20Rohana%20Abdullah%20-%2024%20pages.pdf text en public http://eprints.utem.edu.my/id/eprint/21906/2/Human%20System%20Modelling%20For%20Labour%20Utilisation%20And%20Man-Machine%20Configuration%20At%20Cellular%20Manufacturing.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=104913 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering 1. Abdullah, R., Abd. Rahman, M.N., Omar, N., and Kamat, S.R., 2013. Work Study forOverall Process Efficiency at Manufacturing Company. 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