Collaborative production planning of supply chain under price and demand uncertainty

Collaborative production planning of supply chain under price and demand uncertainty

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Article ID: iaor20118882
Volume: 215
Issue: 3
Start Page Number: 590
End Page Number: 603
Publication Date: Dec 2011
Journal: European Journal of Operational Research
Authors: , ,
Keywords: production
Abstract:

This research is motivated by an automobile manufacturing supply chain network. It involves a multi‐echelon production system with material supply, component fabrication, manufacturing, and final product distribution activities. We address the production planning issue by considering bill of materials and the trade‐offs between inventories, production costs and customer service level. Due to its complexity, an integrated solution framework which combines scatter evolutionary algorithm, fuzzy programming and stochastic chance‐constrained programming are combined to jointly take up the issue. We conduct a computational study to evaluate the model. Numerical results using the proposed algorithm confirm the advantage of the integrated planning approach. Compared with other solution methodologies, the supply chain profits from the proposed approach consistently outperform, in some cases up to 13% better. The impacts of uncertainty in demand, material price, and other parameters on the performance of the supply chain are studied through sensitivity analysis. We found the proposed model is effective in developing robust production plans under various market conditions.

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