Article ID: | iaor2008738 |
Country: | United Kingdom |
Volume: | 14 |
Issue: | 3 |
Start Page Number: | 165 |
End Page Number: | 185 |
Publication Date: | Jul 2003 |
Journal: | IMA Journal of Management Mathematics (Print) |
Authors: | Pearson Michael |
Keywords: | inventory, forecasting: applications |
The classical two-echelon problem, {(C, V), (Q, R)}, is stated as follows. A producer (manufacturer) attempts to determine the cost to charge a distributor (wholesaler/retailer) and the credit/unit to pay for unsold units returned. A distributor determines the amount of inventory to order from the producer and the retail price to charge the customer. Both the producer and the distributor attempt to maximize profit. There is no generalized equilibrium solution to this problem. The manufacturer predicts supply in order to supply demand. That is, the manufacturer allocates demand that supplies the customer. On the other hand, the retailer predicts demand in order to demand supply. That is, the retailer allocates supply that the customer demands. We observe a natural duality in the relationship between the manufacturer and the retailer. We introduce an equilibrium solution to the two-echelon problem through prediction capability and the primal–dual transformation. The stages required to establish the primal–dual solution are harmonization, cooperation, coordination and synchronization. This changes the emphasis from optimization at the manufacturer and retailer levels to the joint search for capability and optimality based on limited information exchange and coordinated allocation strategy. Previous formulations are special cases. The analysis is extended to the supply chain.