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A Systematic Approach To Model Human System In Cellular Manufacturing

Manufacturing becomes increasingly complex as more variations and uncertainties are introduced to the system. Human competencies are valuable to the operation and are considered to be the most flexible manufacturing component. However, there is still lack of study on the impact of human aspects to...

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Main Authors: Abdullah, Rohana, Abd Rahman, Md Nizam, Salleh, Mohd Rizal
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2019
Subjects:
T Technology (General)
TS Manufactures
Online Access:http://eprints.utem.edu.my/id/eprint/24043/2/JSME%20-%20Systematic%20Approach%20to%20Model%20Human%20System%20in%20Cellular%20Manufacturing.pdf
http://eprints.utem.edu.my/id/eprint/24043/
https://www.jstage.jst.go.jp/article/jamdsm/13/1/13_2019jamdsm0001/_article/-char/en
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spelling my.utem.eprints.240432020-03-05T12:13:46Z http://eprints.utem.edu.my/id/eprint/24043/ A Systematic Approach To Model Human System In Cellular Manufacturing Abdullah, Rohana Abd Rahman, Md Nizam Salleh, Mohd Rizal T Technology (General) TS Manufactures Manufacturing becomes increasingly complex as more variations and uncertainties are introduced to the system. Human competencies are valuable to the operation and are considered to be the most flexible manufacturing component. However, there is still lack of study on the impact of human aspects to the cellular manufacturing system performance. This article reports a case study application to evaluate the human impact in the complex cellular manufacturing system. Specifically, this work shows a systematic approach to depict and evaluate the human dynamics and attributes in measuring the labor utilization and determining the ideal man-machine configuration. The literature on modelling technologies relevant to cellular manufacturing design and change is presented to provide the rationale for the use of heuristic and enterprise modelling for this study. Evaluations on the existing human system model, CIMOSA and the heuristic mathematical model resulted in the development of an enhanced human system model framework. The newly developed model focuses on the aspects of human dynamics and attributes. To improve human work measurement data accuracy, the model also uses Maynard Operational Sequence Technique (MOST). An expert system was also developed which greatly reduced the time and effort spent on data entry and data analysis. An example using a multi-national semiconductor assembly and test company is presented where 20% improvement in resource efficiency and additional machine to a labor reconfiguration was achieved without any human fallout. The Japan Society of Mechanical Engineers 2019 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24043/2/JSME%20-%20Systematic%20Approach%20to%20Model%20Human%20System%20in%20Cellular%20Manufacturing.pdf Abdullah, Rohana and Abd Rahman, Md Nizam and Salleh, Mohd Rizal (2019) A Systematic Approach To Model Human System In Cellular Manufacturing. Journal Of Advanced Mechanical Design, Systems, And Manufacturing, 13 (1). pp. 1-11. ISSN 1881-3054 https://www.jstage.jst.go.jp/article/jamdsm/13/1/13_2019jamdsm0001/_article/-char/en 10.1299/jamdsm.2019jamdsm0001
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Abdullah, Rohana
Abd Rahman, Md Nizam
Salleh, Mohd Rizal
A Systematic Approach To Model Human System In Cellular Manufacturing
description Manufacturing becomes increasingly complex as more variations and uncertainties are introduced to the system. Human competencies are valuable to the operation and are considered to be the most flexible manufacturing component. However, there is still lack of study on the impact of human aspects to the cellular manufacturing system performance. This article reports a case study application to evaluate the human impact in the complex cellular manufacturing system. Specifically, this work shows a systematic approach to depict and evaluate the human dynamics and attributes in measuring the labor utilization and determining the ideal man-machine configuration. The literature on modelling technologies relevant to cellular manufacturing design and change is presented to provide the rationale for the use of heuristic and enterprise modelling for this study. Evaluations on the existing human system model, CIMOSA and the heuristic mathematical model resulted in the development of an enhanced human system model framework. The newly developed model focuses on the aspects of human dynamics and attributes. To improve human work measurement data accuracy, the model also uses Maynard Operational Sequence Technique (MOST). An expert system was also developed which greatly reduced the time and effort spent on data entry and data analysis. An example using a multi-national semiconductor assembly and test company is presented where 20% improvement in resource efficiency and additional machine to a labor reconfiguration was achieved without any human fallout.
format Article
author Abdullah, Rohana
Abd Rahman, Md Nizam
Salleh, Mohd Rizal
author_facet Abdullah, Rohana
Abd Rahman, Md Nizam
Salleh, Mohd Rizal
author_sort Abdullah, Rohana
title A Systematic Approach To Model Human System In Cellular Manufacturing
title_short A Systematic Approach To Model Human System In Cellular Manufacturing
title_full A Systematic Approach To Model Human System In Cellular Manufacturing
title_fullStr A Systematic Approach To Model Human System In Cellular Manufacturing
title_full_unstemmed A Systematic Approach To Model Human System In Cellular Manufacturing
title_sort systematic approach to model human system in cellular manufacturing
publisher The Japan Society of Mechanical Engineers
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24043/2/JSME%20-%20Systematic%20Approach%20to%20Model%20Human%20System%20in%20Cellular%20Manufacturing.pdf
http://eprints.utem.edu.my/id/eprint/24043/
https://www.jstage.jst.go.jp/article/jamdsm/13/1/13_2019jamdsm0001/_article/-char/en
_version_ 1665905882417856512
score 13.211869

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