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On the impact of supply uncertainty on inventory decisions: EOQ-based models

Tziora, Eirini, Karakatsoulis, Georgios, Skouri, Konstantina and Syntetos, Aris ORCID: https://orcid.org/0000-0003-4639-0756 2026. On the impact of supply uncertainty on inventory decisions: EOQ-based models. International Journal of Production Research 10.1080/00207543.2025.2606914

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Abstract

Inventory management is influenced by both demand and supply uncertainty, with the latter often manifesting as yield variability, where delivered quantities deviate from orders. This study develops a unified framework to analyse four key sources of variability in order quantities: (1) random yield, where deliveries differ from the order quantity; (2) random quality, where received items include defects identified through post-delivery inspection; (3) random capacity, where supplier limitations prevent full order fulfillment; and (4) supply disruption, where the order fails to materialise. Within an EOQ context and under an (s,S) policy, we derive a common long-run average cost formulation for all four uncertainty types and determine the cost-minimising inventory policies. We conduct both theoretical and numerical comparisons, examining impacts on total cost, optimal policy parameters, and replenishment intervals. Beyond providing a unified perspective on yield-related supply uncertainty, our findings offer guidance for supplier evaluation and selection.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Schools > Business (Including Economics)
Additional Information: RRS policy applied
Publisher: Taylor & Francis
ISSN: 0020-7543
Date of First Compliant Deposit: 8 January 2026
Date of Acceptance: 11 December 2025
Last Modified: 08 Jan 2026 15:15
URI: https://orca.cardiff.ac.uk/id/eprint/183570

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