Advanced automation and robotics for high volume labour-intensive manufacturing

High volume, labour-intensive manufacturing operations pose several challenges for successful operations. It is an even bigger challenge to move away from manual dependency and shift towards automation of production processes. There seems to be no general agreement among researchers on what are the...

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Main Authors: Lai, Nai Yeen Gavin, Jayasekara, Deepesh, Wong, Kok Hoong, Yu, Lih Jiun, Kang, Hooi Siang, Pawar, Kulwant, Zhu, Yingdan
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:http://eprints.utm.my/id/eprint/92568/1/KangHooiSiang2020_AdvancedAutomationandRoboticsforHighVolumeLabour.pdf
http://eprints.utm.my/id/eprint/92568/
http://dx.doi.org/10.1109/HORA49412.2020.9152831
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spelling my.utm.925682021-09-30T15:14:42Z http://eprints.utm.my/id/eprint/92568/ Advanced automation and robotics for high volume labour-intensive manufacturing Lai, Nai Yeen Gavin Jayasekara, Deepesh Wong, Kok Hoong Yu, Lih Jiun Kang, Hooi Siang Pawar, Kulwant Zhu, Yingdan TJ Mechanical engineering and machinery High volume, labour-intensive manufacturing operations pose several challenges for successful operations. It is an even bigger challenge to move away from manual dependency and shift towards automation of production processes. There seems to be no general agreement among researchers on what are the critical success factors (CSFs) on the implementation of advanced automation and robotics processes in the manufacturing environment. Success factors vary across the manufacturing industry and also organizational units. This paper attempts to elicit the opinion and perception of academic professionals with links to high volume labour-intensive manufacturing industry. A systematic literature search was conducted on the topic and semi-structured interviews were conducted with experts to gather their views on CSFs. Results from the literature search and interviews revealed that factors related to Organization Strategy, Culture, and Structure; Top management support; Past experience, staffing, and learning; Project management, planning, and control; Finance, and resource availability; Technology maturity and vendor support; to be critical for the success of the production process automation project initiatives. Findings from this study can be used as guidelines to ascertain CSFs for organizations and strategy planning. Manufacturing organizations can also use this study to evaluate their organizational readiness and enhance the level of automation further. 2020 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/92568/1/KangHooiSiang2020_AdvancedAutomationandRoboticsforHighVolumeLabour.pdf Lai, Nai Yeen Gavin and Jayasekara, Deepesh and Wong, Kok Hoong and Yu, Lih Jiun and Kang, Hooi Siang and Pawar, Kulwant and Zhu, Yingdan (2020) Advanced automation and robotics for high volume labour-intensive manufacturing. In: 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020, 26 - 27 June 2020, Ankara, Turkey. http://dx.doi.org/10.1109/HORA49412.2020.9152831
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Lai, Nai Yeen Gavin
Jayasekara, Deepesh
Wong, Kok Hoong
Yu, Lih Jiun
Kang, Hooi Siang
Pawar, Kulwant
Zhu, Yingdan
Advanced automation and robotics for high volume labour-intensive manufacturing
description High volume, labour-intensive manufacturing operations pose several challenges for successful operations. It is an even bigger challenge to move away from manual dependency and shift towards automation of production processes. There seems to be no general agreement among researchers on what are the critical success factors (CSFs) on the implementation of advanced automation and robotics processes in the manufacturing environment. Success factors vary across the manufacturing industry and also organizational units. This paper attempts to elicit the opinion and perception of academic professionals with links to high volume labour-intensive manufacturing industry. A systematic literature search was conducted on the topic and semi-structured interviews were conducted with experts to gather their views on CSFs. Results from the literature search and interviews revealed that factors related to Organization Strategy, Culture, and Structure; Top management support; Past experience, staffing, and learning; Project management, planning, and control; Finance, and resource availability; Technology maturity and vendor support; to be critical for the success of the production process automation project initiatives. Findings from this study can be used as guidelines to ascertain CSFs for organizations and strategy planning. Manufacturing organizations can also use this study to evaluate their organizational readiness and enhance the level of automation further.
format Conference or Workshop Item
author Lai, Nai Yeen Gavin
Jayasekara, Deepesh
Wong, Kok Hoong
Yu, Lih Jiun
Kang, Hooi Siang
Pawar, Kulwant
Zhu, Yingdan
author_facet Lai, Nai Yeen Gavin
Jayasekara, Deepesh
Wong, Kok Hoong
Yu, Lih Jiun
Kang, Hooi Siang
Pawar, Kulwant
Zhu, Yingdan
author_sort Lai, Nai Yeen Gavin
title Advanced automation and robotics for high volume labour-intensive manufacturing
title_short Advanced automation and robotics for high volume labour-intensive manufacturing
title_full Advanced automation and robotics for high volume labour-intensive manufacturing
title_fullStr Advanced automation and robotics for high volume labour-intensive manufacturing
title_full_unstemmed Advanced automation and robotics for high volume labour-intensive manufacturing
title_sort advanced automation and robotics for high volume labour-intensive manufacturing
publishDate 2020
url http://eprints.utm.my/id/eprint/92568/1/KangHooiSiang2020_AdvancedAutomationandRoboticsforHighVolumeLabour.pdf
http://eprints.utm.my/id/eprint/92568/
http://dx.doi.org/10.1109/HORA49412.2020.9152831
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score 13.160551