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Deep learning for intelligent transportation

A purchaser's optimal procurement strategy under emergencies

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Received 06 Nov 2023, Accepted 23 Mar 2024, Published online: 15 Apr 2024
 

Abstract

This paper investigates a purchaser's optimal procurement strategy under emergencies. The occurrence of emergencies often leads to sharp fluctuations in prices and weakens supply stability, which increases procurement risks for purchasers. In this study, we use the option contract to actively respond to market fluctuations and reduce procurement risks caused by emergencies. If there is insufficient inventory due to occurrence of emergencies, part or all of the shortages can be met by an emergency replenishment. Then, we conduct an in-depth research on the optimal option procurement strategy for purchasers under emergencies. The results show that, a higher emergency replenishment rate leads to a smaller option purchase quantity if the shortage cost is not considered, since the emergency replenishment can save part or all of the shortages. If the shortage cost is considered, both over-purchasing and under-purchasing of options lead to corresponding losses, and then the trend in a purchaser's optimal option purchasing decision is decided by the dominance of the two types of losses. Finally, we summarize the results of the study to give managerial insights into the optimal option purchasing strategies for purchasers under emergencies.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is supported by the National Natural Science Foundation of China (No. 71871026) and the Natural Science Foundation of Shandong Province of China (No. ZR2023MG028).

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