A model of a supply chain management system is proposed in the context of a major household appliance manufacturer located in Mexico. Using a mixed integer programming approach, the supply chain is modeled as a large-scale, multi-echelon, multi-commodity, multi-period combinatorial inventory-planning system with stochastic demands. The model integrates the production and distribution planning processes, and determines the assignment of finished goods production level, workforce level, transportation modes used, number of transportation consignments, inventory levels, and allocation of information resources in order to minimize the total system wide costs. A designed experiment is carried out to test the robustness of the model with respect to information-related parameters, and to evaluate the impact of the various levels of these parameters on the operations of the supply chain, considering the related costs of information acquisition.
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