A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

2004 ◽  
Author(s):  
W. Wang ◽  
D.E. Rivera ◽  
K.G. Kempf ◽  
K.D. Smith
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Semiconductor Manufacturing ◽  
Chain Management

scholarly journals A Centralized Model Predictive Control Strategy for Dynamic Supply Chain Management

2013 ◽  
Vol 46 (9) ◽  
pp. 1608-1613 ◽  
Author(s):  
Dongfei Fu ◽  
Clara Mihaela Ionescu ◽  
El-Houssaine Aghezzaf ◽  
Robin De Keyser
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Chain Management ◽  
Centralized Model

A Novel Predictive Control Strategy for Supply Chain Management under Networked Manufacturing

2011 ◽  
Vol 421 ◽  
pp. 548-552
Author(s):  
Hai Dong ◽  
Wei Ling Zhao ◽  
Yan Ping Li
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Predictive Control ◽  
Control Strategy ◽  
Rate Of Change ◽  
Inventory Systems ◽  
Networked Manufacturing ◽  
Chain Management ◽  
Network Time ◽  
Production Inventory

A novel predictive control strategy is applied to dynamic supply chain management under networked manufacturing. The optimisation-based control scheme aims at a complete management framework for production-inventory systems that is based on model predictive control (MPC) and on a neural network time series forecasting model. The model proves to be very useful in production-inventory systems that is enough to keep production and inventory balance. A move suppression term that penalises the rate of change in the transported quantities through the network increases the system’s robustness. The results show that the proposed scheme can improve significantly the performance of the production-inventory system, due to the fact that more accurate predictions are provided to the formulation of the MPC optimization problem in real time.

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