Issue |
RAIRO-Oper. Res.
Volume 58, Number 6, November-December 2024
|
|
---|---|---|
Page(s) | 5029 - 5049 | |
DOI | https://doi.org/10.1051/ro/2024209 | |
Published online | 06 December 2024 |
Optimal forward contract design in a supply chain with asymmetric cost information
College of Management and Economics, Tianjin University, 300072, P.R. China
* Corresponding author: yuanyuanluo@tju.edu.cn
Received:
29
November
2023
Accepted:
25
October
2024
In a buyer-led supply chain, the buyer utilizes a forward contract to effectively cope with the risk brought about by uncertainty in demand and raw material prices. However, the production cost, as private information of the supplier, will inevitably affect the formulation of a forward contract. This study constructs a procurement system consisting of a buyer, a supplier, and an imperfect spot market to explore how the buyer designs the forward contract under asymmetric cost information. By applying the principal-agent theory, this study allows the buyer to maximize profits while disclosing the supplier’s cost information. The results obtained indicate that in order to screen the cost type, the forward order quantity from the high-cost supplier is downward distorted. Asymmetric cost information reduces the buyer’s profits, but brings additional information rent to the supplier. Interestingly, it is also observed that asymmetric material cost information can discourage the buyer from engaging in speculative activities in the spot market. While the existence of a well-developed raw material spot market with a reduced price provides the buyer with an alternative means of procurement, which mitigates the negative impacts of his cost information disadvantages.
Mathematics Subject Classification: 91A80
Key words: Forward contract / principal-agent theory / asymmetric cost information / imperfect B2B spot markets
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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