Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example

Mithun Ali, S; Paul, SK; Chowdhury, P; Agarwal, R; Mohammad Fathollahi-Fard, A; Jose Chiappetta Jabbour, C; Luthra, S

Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example

Mithun Ali, S Paul, SK Chowdhury, P Agarwal, R

Mohammad Fathollahi-Fard, A Jose Chiappetta Jabbour, C Luthra, S

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Expert Systems with Applications, 2021, 173, pp. 1-14
Issue Date:: 2021-02

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Field	Value	Language
dc.contributor.author	Mithun Ali, S
dc.contributor.author	Paul, SK
dc.contributor.author	Chowdhury, P
dc.contributor.author	Agarwal, R https://orcid.org/0000-0002-8493-7313
dc.contributor.author	Mohammad Fathollahi-Fard, A
dc.contributor.author	Jose Chiappetta Jabbour, C
dc.contributor.author	Luthra, S
dc.date.accessioned	2021-12-21T22:08:13Z
dc.date.available	2021-12-21T22:08:13Z
dc.date.issued	2021-02
dc.identifier.citation	Expert Systems with Applications, 2021, 173, pp. 1-14
dc.identifier.issn	0957-4174
dc.identifier.issn	1873-6793
dc.identifier.uri	http://hdl.handle.net/10453/152450
dc.description.abstract	The purpose of this paper is to develop a framework to identify, analyze, and to assess supply chain disruption factors and drivers. Based on an empirical analysis, four disruption factor categories including natural, human-made, system accidents, and financials with a total of sixteen disruption drivers are identified and examined in a real-world industrial setting. This research utilizes an integrated approach comprising both the Delphi method and the fuzzy analytic hierarchy process (FAHP). To test this integrated method, one of the well-known examples in industrial contexts of developing countries, the ready-made garment industry in Bangladesh is considered. To evaluate this industrial example, a sensitivity analysis is conducted to ensure the robustness and viability of the framework in practical settings. This study not only expands the literature scope of supply chain disruption risk assessment but through its application in any context or industry will reduce the impact of such disruptions and enhance the overall supply chain resilience. Consequently, these enhanced capabilities arm managers the ability to formulate relevant mitigation strategies that are robust and computationally efficient. These strategies will allow managers to take calculated decisions proactively. Finally, the results reveal that political and regulatory instability, cyclones, labor strikes, flooding, heavy rain, and factory fires are the top six disruption drivers causing disruptions to the ready-made garment industry in Bangladesh.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Expert Systems with Applications
dc.relation.isbasedon	10.1016/j.eswa.2021.114690
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example
dc.type	Journal Article
utslib.citation.volume	173
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
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2021-12-21T22:08:12Z
pubs.publication-status	Published
pubs.volume	173

Abstract:

The purpose of this paper is to develop a framework to identify, analyze, and to assess supply chain disruption factors and drivers. Based on an empirical analysis, four disruption factor categories including natural, human-made, system accidents, and financials with a total of sixteen disruption drivers are identified and examined in a real-world industrial setting. This research utilizes an integrated approach comprising both the Delphi method and the fuzzy analytic hierarchy process (FAHP). To test this integrated method, one of the well-known examples in industrial contexts of developing countries, the ready-made garment industry in Bangladesh is considered. To evaluate this industrial example, a sensitivity analysis is conducted to ensure the robustness and viability of the framework in practical settings. This study not only expands the literature scope of supply chain disruption risk assessment but through its application in any context or industry will reduce the impact of such disruptions and enhance the overall supply chain resilience. Consequently, these enhanced capabilities arm managers the ability to formulate relevant mitigation strategies that are robust and computationally efficient. These strategies will allow managers to take calculated decisions proactively. Finally, the results reveal that political and regulatory instability, cyclones, labor strikes, flooding, heavy rain, and factory fires are the top six disruption drivers causing disruptions to the ready-made garment industry in Bangladesh.

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http://hdl.handle.net/10453/152450