Resilient supplier selection with supplier fortification in the presence of multiple manufacturers using mixed recovery profile

Kumar, Praveen, Maiyar, Lohithaksha M. and Mogale, D. G. ORCID: https://orcid.org/0000-0002-7977-0360 2025. Resilient supplier selection with supplier fortification in the presence of multiple manufacturers using mixed recovery profile. Presented at: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Melbourne, Australia, 7-10 December 2025. Proceedings of the 2025 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 0455-0459. 10.1109/ieem63636.2025.11357682

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Abstract

In the recent past, epidemic disruptions have been known to have affected several industry sectors, with the automotive industry being no exception in facing the adverse impact. The automotive industry remained at the receiving end of the COVID-19 turmoil while being a witness and victim to widespread manufacturing component shortages during the aftermath, resulting in larger lead times, plant shutdowns, and undelivered inventory orders. This study addresses the supplier selection and order allocation problem for post-disruption scenarios by developing a mixed integer-linear programming model for epidemic disruptions. The proposed model of this study minimizes the loss of resilience in the presence of supplier fortification for multiple manufacturers, considering a mixed nature of recovery profiles to deal with disruptions. Further, the results are validated on small and medium dataset instances inspired by the Indian automotive supply chain scenario.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Business (Including Economics)
Publisher:	IEEE
ISBN:	9798331525217
Last Modified:	09 Feb 2026 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/184549

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