Dr Riccardo Mogre riccardo.mogre@durham.ac.uk
Associate Professor
A decision framework to mitigate supply chain risks: an application in the offshore-wind industry
Mogre, R.; Talluri, S.; D’Amico, F.
Authors
S. Talluri
F. D’Amico
Abstract
Decision support systems (DSSs) for supply chain risk management benefit from a holistic approach for mitigating risks, which include identification and assessment of risks and evaluation and selection of measures to appease risks. However, previous studies in this area overlooked probability estimation, measure selection, and assessment of interdependence of risks and measures. We aim to fill these gaps in the literature by proposing a two-stage DSSs that will assist managers in not only select mitigation strategies for supply chain risks, but also mitigation tactics when risks occur. Our DSS employs a novel matrix formulation for decision-tree analysis, which integrates expert judgments. We applied our models to the supply chain of a fast-expanding offshore-wind industry, which faces high levels of exposure to risks because of the associated complexities in this domain. The results demonstrate how to select mitigation strategies and mitigation tactics for managing supply chain risks within the offshore-wind industry.
Citation
Mogre, R., Talluri, S., & D’Amico, F. (2016). A decision framework to mitigate supply chain risks: an application in the offshore-wind industry. IEEE Transactions on Engineering Management, 63(3), 316-325. https://doi.org/10.1109/tem.2016.2567539
Journal Article Type | Article |
---|---|
Acceptance Date | May 6, 2016 |
Online Publication Date | Jun 15, 2016 |
Publication Date | Aug 1, 2016 |
Deposit Date | May 11, 2016 |
Publicly Available Date | May 13, 2016 |
Journal | IEEE Transactions on Engineering Management |
Print ISSN | 0018-9391 |
Electronic ISSN | 1558-0040 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 63 |
Issue | 3 |
Pages | 316-325 |
DOI | https://doi.org/10.1109/tem.2016.2567539 |
Public URL | https://durham-repository.worktribe.com/output/1384800 |
Files
Accepted Journal Article
(634 Kb)
PDF
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Dynamic expediting of an urgent order with uncertain progress
(2017)
Journal Article
How to choose mitigation measures for supply chain risks
(2014)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search