Distributed Control Strategy for Dynamic Supply Chain Network

Hai Dong; Shi Nan Yuan; Wei Ling Zhao

doi:10.4028/www.scientific.net/AMR.562-564.1728

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Distributed Control Strategy for Dynamic Supply...

Distributed Control Strategy for Dynamic Supply Chain Network

Abstract:

A distributed control strategy based on model predictive control is applied to dynamic supply chain network. The optimisation-based controller aims at maximising customer satisfaction with the least operating costs. The model proves to be very useful in maintaining an inventory level that is just enough to satisfy customer demand. A move suppression term that penalises the rate of change in the transported quantities through the network increases the robustness of the control system. Dedicated feedback controllers are utilised to maintain product inventory at all nodes of the supply chain network within pre-specified target levels that are subsequently embedded within the optimisation-based control framework. Simulated results exhibit good dynamic performance under both stochastic and deterministic demand variations.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1728-1731

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1728

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Online since:

August 2012

Authors:

Hai Dong, Shi Nan Yuan, Wei Ling Zhao

Keywords:

Control System, Model Predictive Control (MPC), Rolling Time Horizon, Supply Chain

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References

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