An Effective Modeling and Control Strategy for Supply Chain Design and Planning

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

1132-1135

DOI:

10.4028/www.scientific.net/KEM.467-469.1132

Citation:

H. Dong et al., "An Effective Modeling and Control Strategy for Supply Chain Design and Planning", Key Engineering Materials, Vols. 467-469, pp. 1132-1135, 2011

Online since:

February 2011

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Price:

$35.00

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[4] B. Alberto: Model Predictive Control of Hybrid Systems with Applications to Supply Chain Management, 49th ANIPLA National Congress, Napoli, Italy, 2005, pp.15-30.

[5] J. M. Laínez, G. M. Kopanos, M. Badell, A. Espuña, L. Puigjaner: Integrating strategic, tactical and operational supply chain decision levels in a model predictive control framework, 18th European Symposium on Computer Aided Process Engineering, Lyon, France, (2008).

DOI: 10.1016/s1570-7946(08)80084-3

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