نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
Pharmaceutical supply chains are vulnerable to demand shocks because inventory depletion and capacity constraints can reduce service levels and delay recovery. However, inventory policies are commonly evaluated using average performance measures, while the dynamics of performance degradation and recovery receive less attention. This study examines how the intensity, duration, and timing of temporary demand shocks affect performance drop, resilience loss, stable recovery probability, and recovery time under three inventory control policies: decentralized inventory control, vendor-managed inventory, and an information-coordinated policy. An agent-based simulation model was developed in AnyLogic, and the policies were evaluated using a factorial experimental design. Performance drop and resilience loss were assessed using robust analysis of variance, recovery probability was analyzed through logistic regression, and recovery time was examined using survival analysis. The results showed that shock duration, followed by shock intensity, was the main driver of performance degradation and resilience loss. Their combined effect exceeded the simple sum of their separate effects, indicating a non-additive system response. Shock timing had no significant direct effect on most primary outcomes, while the effect of inventory policy was generally smaller than the effects of shock characteristics and depended on operating conditions. Supply-capacity constraints affected recovery probability and recovery time, whereas lead-time variability primarily influenced resilience loss and the relative performance of the policies. Overall, no policy was consistently superior across all conditions; therefore, inventory policy selection should reflect both the expected shock characteristics and the operational constraints of the supply chain.
کلیدواژهها English
Copyright © Mohammad Manesh-Bozorgi , Amir-Reza Abtahi ,Farzad Haghighi-Rad
License
This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.
