A centralized optimization of dairy supply chain based on model predictive control strategy

Author(s):  
Lei Bei ◽  
Yang Jie ◽  
Cao Jian
2013 ◽  
Vol 46 (9) ◽  
pp. 1608-1613 ◽  
Author(s):  
Dongfei Fu ◽  
Clara Mihaela Ionescu ◽  
El-Houssaine Aghezzaf ◽  
Robin De Keyser

2003 ◽  
Vol 27 (8-9) ◽  
pp. 1201-1218 ◽  
Author(s):  
Edgar Perea-López ◽  
B.Erik Ydstie ◽  
Ignacio E. Grossmann

2011 ◽  
Vol 467-469 ◽  
pp. 1132-1135
Author(s):  
Hai Dong ◽  
Wei Ling Zhao ◽  
Yan Ping Li

The dynamics and uncertainty of the business and the market makes difficult to coordinate the activities of a supply chain. Therefore, it is important to review systematically and to take into account the variability in the planning formulation in order to manage a supply chain network efficiently. A novel stochastic multi-period design and planning MILP model of a multiechelon supply chain network is used as a predictive model in this work. Model predictive control is presented as a way to manage supply chain in the presence of uncertainty by incorporating unforeseen events into the planning process. Illustrative example shows control strategy based on model predictive control framework is effective in the supply chain network design and planning.


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