Statistical Control by Monitoring and Feedback Adjustment
Statistical Control by Monitoring and Feedback Adjustment
Simulating availability outlook for e-commerce business of personal computer sales
WSC '04 Proceedings of the 36th conference on Winter simulation
Ideas for modeling and simulation of supply chains with Arena
WSC '04 Proceedings of the 36th conference on Winter simulation
Modeling and analysis of a generic cross-docking facility
WSC '05 Proceedings of the 37th conference on Winter simulation
A family of market-based shipment methodologies for delivery supply chain
WSC '05 Proceedings of the 37th conference on Winter simulation
Double-agent architecture for collaborative supply chain formation
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
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In support of the order-to-delivery (OTD) business initiative, a simulation framework has been developed at GM R&D. The OTD simulation program is aimed at simulating the behavior of the OTD supply chain using detailed inputs associated with demand, supply, and production processes. Customer demand variation is a key source of uncertainty in GM's supply chain. Early capture of customer demand fluctuation enables GM to effectively reduce aggregate mismatch between production and sales and appropriate time series models have been suggested to capture demand patterns based on actual data. The vehicle model and option mix with a given demand variation influences the performance of the OTD supply chain and provides a means to establish certain principles determining the extent of product offering and the scope of production leveling. Analyzing the impact of the model and option mix on primary supply chain performance measures, such as customer wait time, condition mismatch, and parts usage, capacitates reduction of the mismatch between demand and production and stabilizes supply chain operations.