Managing Demand Uncertainty in Supply Chain Planning
- Topics:
- Sourcing
- Source:
- Reed Elsevier
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Overview: The paper describes a stochastic programming based approach to model the planning process as it reacts to demand realizations unfolding over time. In the proposed bi-level framework, the manufacturing decisions are modeled as 'here-and-now' decisions, which are made before demand realization. Subsequently, the logistics decisions are postponed in a 'wait and- see' mode to optimize in the face of uncertainty. In addition, the trade-off between customer satisfaction level and production costs is also captured in the model. The proposed model provides an effective tool for evaluating and actively managing the exposure of enterprises assets to market uncertainties.
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Format: PDF | Size: 355KB | Date: Feb 2003 | Pages: 9




