An empirical model for identifying and controlling operational and environmental risks in spinning industry in an emerging economy

Raian, S; Siddiqua, T; Moktadir, A; Rahman, T

An empirical model for identifying and controlling operational and environmental risks in spinning industry in an emerging economy

Raian, S Siddiqua, T Moktadir, A Rahman, T

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers and Industrial Engineering, 2023, 180, pp. 109244
Issue Date:: 2023-06

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Field	Value	Language
dc.contributor.author	Raian, S
dc.contributor.author	Siddiqua, T
dc.contributor.author	Moktadir, A
dc.contributor.author	Rahman, T
dc.date.accessioned	2024-06-28T04:18:01Z
dc.date.available	2024-06-28T04:18:01Z
dc.date.issued	2023-06
dc.identifier.citation	Computers and Industrial Engineering, 2023, 180, pp. 109244
dc.identifier.issn	0360-8352
dc.identifier.uri	http://hdl.handle.net/10453/179676
dc.description.abstract	Effective risk management has become more crucial than ever given the strategic economic growth of the industrial sector Diverse threats from various sources are simultaneously present in many industries Like other industries the spinning sector of Bangladesh is bestowed with numerous operational and environmental risks However from our knowledge it is completely ignored by the researchers and management of this sector to identify and control those risks This study s main motivation is to fill the knowledge gap by using a real world case study to identify and quantify operational and environmental risks in the spinning industry To quantify risk variables the application of the fuzzy synthetic evaluation methodology is a completely new approach in the spinning industry as well as in other industries This method determines the probability and magnitude of each risk factor and risk group as well as the overall risk This study identifies sixteen operational and environmental risk variables within two risk groups One of the key findings of this study is that air pollution from flying fibers excessive noise inappropriate materials handling power failure and frequent machine breakdown are the top five risk concerns Another important finding is that the overall risk criticality value of this sector is high with a value of 3 97 indicating a significant level of risk The study also offered a cause effect diagram to identify the leading causes of risks to manage those risks effectively in the future Overall this study will assist real life practitioners in identifying ranking managing and controlling operational and environmental hazards in the Bangladeshi spinning sector towards minimizing such hazards and promoting cleaner production
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Computers and Industrial Engineering
dc.relation.isbasedon	10.1016/j.cie.2023.109244
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	An empirical model for identifying and controlling operational and environmental risks in spinning industry in an emerging economy
dc.type	Journal Article
utslib.citation.volume	180
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Business
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2024-06-28T04:17:59Z
pubs.publication-status	Published
pubs.volume	180

Abstract:

Effective risk management has become more crucial than ever given the strategic economic growth of the industrial sector Diverse threats from various sources are simultaneously present in many industries Like other industries the spinning sector of Bangladesh is bestowed with numerous operational and environmental risks However from our knowledge it is completely ignored by the researchers and management of this sector to identify and control those risks This study s main motivation is to fill the knowledge gap by using a real world case study to identify and quantify operational and environmental risks in the spinning industry To quantify risk variables the application of the fuzzy synthetic evaluation methodology is a completely new approach in the spinning industry as well as in other industries This method determines the probability and magnitude of each risk factor and risk group as well as the overall risk This study identifies sixteen operational and environmental risk variables within two risk groups One of the key findings of this study is that air pollution from flying fibers excessive noise inappropriate materials handling power failure and frequent machine breakdown are the top five risk concerns Another important finding is that the overall risk criticality value of this sector is high with a value of 3 97 indicating a significant level of risk The study also offered a cause effect diagram to identify the leading causes of risks to manage those risks effectively in the future Overall this study will assist real life practitioners in identifying ranking managing and controlling operational and environmental hazards in the Bangladeshi spinning sector towards minimizing such hazards and promoting cleaner production

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http://hdl.handle.net/10453/179676