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Risk identification model for lean manufacturing improvement

Small- and medium-sized manufacturing enterprises (SMEs) were confronted with a variety of difficulties due to the increasingly complex market environment, and many of them could not make enough profits to proceed with their manufacturing tasks. The objective of this study was to develop a model of...

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Main Authors: Mohd Hafizuddin Syah Bangaan Abdullah,, Mohd Nizam Ab Rahman,, Yin, Ruizhe
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/22770/1/17.pdf
http://journalarticle.ukm.my/22770/
https://www.ukm.my/jkukm/volume-3504-2023/
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spelling my-ukm.journal.227702023-12-29T06:46:09Z http://journalarticle.ukm.my/22770/ Risk identification model for lean manufacturing improvement Mohd Hafizuddin Syah Bangaan Abdullah, Mohd Nizam Ab Rahman, Yin, Ruizhe Small- and medium-sized manufacturing enterprises (SMEs) were confronted with a variety of difficulties due to the increasingly complex market environment, and many of them could not make enough profits to proceed with their manufacturing tasks. The objective of this study was to develop a model of risk management by integrating several risk tools at manufacturing companies. This study was also intended to improve the decision making by providing quantitative analysis at each step of risk management and improve lean practices. Risk quantitative analysis methods such as failure modes and effects analysis (FMEA) and multi-objective optimization on the basis of ratio analysis (MOORA) were applied in this study to identify the potential risks. Moreover, the risk assessment was used to categorize risks into different severity levels. The manufacturing data obtained from a case study was utilised to calculate the risk priority number (RPN). The risk mitigation actions were formulated to reduce the original RPN and the final RPN value decreased to a normal standard in the end. Overall, this study optimised the risk management of one case study SME and improved lean manufacturing practices. By establishing the risk identification model and applying common lean manufacturing concepts in reducing wastes at actual manufacturing processes, the manufacturing enterprise could manage to optimize the operations and increase the actual manufacturing productivity. The machining and assembly processes of diesel engines were optimized and improved with the decrease of RPN and the selection of the CK6150 CNC lathe that owns the highest MOORA assessment value. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22770/1/17.pdf Mohd Hafizuddin Syah Bangaan Abdullah, and Mohd Nizam Ab Rahman, and Yin, Ruizhe (2023) Risk identification model for lean manufacturing improvement. Jurnal Kejuruteraan, 35 (4). pp. 945-953. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3504-2023/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Small- and medium-sized manufacturing enterprises (SMEs) were confronted with a variety of difficulties due to the increasingly complex market environment, and many of them could not make enough profits to proceed with their manufacturing tasks. The objective of this study was to develop a model of risk management by integrating several risk tools at manufacturing companies. This study was also intended to improve the decision making by providing quantitative analysis at each step of risk management and improve lean practices. Risk quantitative analysis methods such as failure modes and effects analysis (FMEA) and multi-objective optimization on the basis of ratio analysis (MOORA) were applied in this study to identify the potential risks. Moreover, the risk assessment was used to categorize risks into different severity levels. The manufacturing data obtained from a case study was utilised to calculate the risk priority number (RPN). The risk mitigation actions were formulated to reduce the original RPN and the final RPN value decreased to a normal standard in the end. Overall, this study optimised the risk management of one case study SME and improved lean manufacturing practices. By establishing the risk identification model and applying common lean manufacturing concepts in reducing wastes at actual manufacturing processes, the manufacturing enterprise could manage to optimize the operations and increase the actual manufacturing productivity. The machining and assembly processes of diesel engines were optimized and improved with the decrease of RPN and the selection of the CK6150 CNC lathe that owns the highest MOORA assessment value.
format Article
author Mohd Hafizuddin Syah Bangaan Abdullah,
Mohd Nizam Ab Rahman,
Yin, Ruizhe
spellingShingle Mohd Hafizuddin Syah Bangaan Abdullah,
Mohd Nizam Ab Rahman,
Yin, Ruizhe
Risk identification model for lean manufacturing improvement
author_facet Mohd Hafizuddin Syah Bangaan Abdullah,
Mohd Nizam Ab Rahman,
Yin, Ruizhe
author_sort Mohd Hafizuddin Syah Bangaan Abdullah,
title Risk identification model for lean manufacturing improvement
title_short Risk identification model for lean manufacturing improvement
title_full Risk identification model for lean manufacturing improvement
title_fullStr Risk identification model for lean manufacturing improvement
title_full_unstemmed Risk identification model for lean manufacturing improvement
title_sort risk identification model for lean manufacturing improvement
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/22770/1/17.pdf
http://journalarticle.ukm.my/22770/
https://www.ukm.my/jkukm/volume-3504-2023/
_version_ 1787134663545847808
score 13.211869

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