Article ID: | iaor200542 |
Country: | United Kingdom |
Volume: | 42 |
Issue: | 11 |
Start Page Number: | 2113 |
End Page Number: | 2140 |
Publication Date: | Jan 2004 |
Journal: | International Journal of Production Research |
Authors: | Lashkari R.S., Dominguez H. |
Keywords: | programming: integer, programming: mathematical |
A supply chain management model is presented in the context of a major household appliance manufacturer in Mexico. Specifically, it provides a capacitated, multistage, multiperiod, multicommodity, multifacility inventory planning model. The mixed-integer programming model deals with the efficient allocation of resources in the supply chain network under the premise that information is a valuable resource that also requires optimal allocation in order to enhance the flow of products and to minimize system-wide costs. The model employs the strategy of risk pooling or time postponement as a cost-reduction driver to account for the provision of safety stocks in the system. Numerical results are presented to demonstrate the feasibility of the application of the real-world, large-scale supply chain models.