A Single Buyer-Single Supplier Bargaining Problem with Asymmetric Information — Theoretical Approach and Software Implementation
Big Island, HI, USA
Jan. 6, 2003 to Jan. 9, 2003
Eric Sucky , Goethe-University
This paper is focused on the coordination of order and production policy between buyers and suppliers in supply chains. When a buyer and a supplier of an item work independently, the buyer will place orders based on his economic order quantity (EOQ). However, the buyer?s EOQ may not lead to an optimal policy for the supplier. It can be shown that a cooperative batching policy can reduce total cost significantly. Should the buyer have the more powerful position to enforce his EOQ on the supplier, then no incentive exists for him to deviate from his EOQ in order to choose a cooperative batching policy. To provide an incentive to order in quantities suitable to the supplier, the supplier could offer a side payment. One critical assumption made throughout in the literature dealing with incentive schemes to influence buyer?s ordering policy is that the supplier has complete information regarding buyer?s cost structure. However, this assumption is far from realistic. As a consequence, the buyer has no incentive to report truthfully on his cost structure. Moreover there is an incentive to overstate the total relevant cost in order to obtain as high a side payment as possible. This paper provides a bargaining model with asymmetric information about the buyer?s cost structure assuming that the buyer has the bargaining power to enforce his EOQ on the supplier in case of a breakdown in negotiations. An algorithm for the determination of an optimal set of contracts which are specifically designed for different cost structures of the buyer, assumed by the supplier, will be presented. This algorithm was implemented in a software application, that supports the supplier in determining the optimal set of contracts.
Eric Sucky, "A Single Buyer-Single Supplier Bargaining Problem with Asymmetric Information — Theoretical Approach and Software Implementation", HICSS, 2003, 36th Hawaii International Conference on Systems Sciences, 36th Hawaii International Conference on Systems Sciences 2003, pp. 80a, doi:10.1109/HICSS.2003.1174198