Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation

Ordibazar, AH; Hussain, O; Chakrabortty, RK; Saberi, M; Irannezhad, E

Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation

Ordibazar, AH Hussain, O Chakrabortty, RK Saberi, M

Irannezhad, E

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Publisher:: SPRINGER INTERNATIONAL PUBLISHING AG
Publication Type:: Chapter
Citation:: Service-Oriented Computing – ICSOC 2022 Workshops, 2023, 13821 LNCS, pp. 53-65
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Ordibazar, AH
dc.contributor.author	Hussain, O
dc.contributor.author	Chakrabortty, RK
dc.contributor.author	Saberi, M https://orcid.org/0000-0002-5168-2078
dc.contributor.author	Irannezhad, E
dc.contributor.editor	Troya, J
dc.contributor.editor	Mirandola, R
dc.contributor.editor	Navarro, E
dc.contributor.editor	Delgado, A
dc.contributor.editor	Segura, S
dc.contributor.editor	Ortiz, G
dc.contributor.editor	Pautasso, C
dc.contributor.editor	Zirpins, C
dc.contributor.editor	Fernandez, P
dc.contributor.editor	Ruiz-Cortes, A
dc.date.accessioned	2023-11-09T03:23:09Z
dc.date.available	2023-11-09T03:23:09Z
dc.date.issued	2023-01-01
dc.identifier.citation	Service-Oriented Computing – ICSOC 2022 Workshops, 2023, 13821 LNCS, pp. 53-65
dc.identifier.isbn	9783031265068
dc.identifier.uri	http://hdl.handle.net/10453/173266
dc.description.abstract	Supply Chain Risk Management (SCRM) is necessary for economic development and the well-being of society. Therefore, many researchers and practitioners focus on developing new methods to identify, assess, mitigate and monitor supply chain risks. This paper developed the Risk Management by Counterfactual Explanation (RMCE) framework to manage risks in Supply Chain Networks (SCNs). The RMCE framework focuses on monitoring SCN, and in case of any risks eventuating, it explains them to the user and recommends mitigation strategies to avoid them proactively. RMCE uses optimisation models to design the SCN and Counterfactual Explanation (CE) to generate mitigation recommendations. The developed approach is applied to an actual case study related to a global SCN to test and validate the proposed framework. The final results show that the RMCE framework can correctly predict risks and give understandable explanations and solutions to mitigate the impact of the monitored risks on the case study.
dc.language	en
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartof	Service-Oriented Computing – ICSOC 2022 Workshops
dc.relation.ispartofseries	Lecture Notes in Computer Science
dc.relation.isbasedon	10.1007/978-3-031-26507-5_5
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	46 Information and computing sciences
dc.title	Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation
dc.type	Chapter
utslib.citation.volume	13821 LNCS
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-11-09T03:23:07Z
pubs.publication-status	Published
pubs.volume	13821 LNCS

Abstract:

Supply Chain Risk Management (SCRM) is necessary for economic development and the well-being of society. Therefore, many researchers and practitioners focus on developing new methods to identify, assess, mitigate and monitor supply chain risks. This paper developed the Risk Management by Counterfactual Explanation (RMCE) framework to manage risks in Supply Chain Networks (SCNs). The RMCE framework focuses on monitoring SCN, and in case of any risks eventuating, it explains them to the user and recommends mitigation strategies to avoid them proactively. RMCE uses optimisation models to design the SCN and Counterfactual Explanation (CE) to generate mitigation recommendations. The developed approach is applied to an actual case study related to a global SCN to test and validate the proposed framework. The final results show that the RMCE framework can correctly predict risks and give understandable explanations and solutions to mitigate the impact of the monitored risks on the case study.

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http://hdl.handle.net/10453/173266