Title: A Modelling and Optimisation Management Tool for large-scale supply chain networks

Authors: Lusine Baghdasaryan, Houshang Darabi, Francesca Schuler, Andreas Schaller

Addresses: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, 842 W Taylor St. 2039 ERF, Chicago, IL 60607, USA. ' Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, 842 W Taylor St. 2039 ERF, Chicago, IL 60607, USA. ' Motorola Labs, Physical and Digital Realization Research Center, 1301 E. Algonquin Road, Schaumburg, IL 60196, USA. ' Motorola Labs, Physical and Digital Realization Research Center, Heinrich-Hertz-Str. 1, D-65232 Taunusstein, Germany

Abstract: Supply Chains (SC) can be complex, dynamic and large-scale. They can make modelling and optimisation of SC difficult tasks. This paper describes a framework of a new Modelling and Optimisation Management Tool (MOMT) for large-scale supply chain networks. A graph-based method is used to automatically generate and update optimisation models for large-scale SC networks. Graph|s nodes and arcs, that define the optimisation model|s constraints and variables, are generated according to the SC requirements. MOMT increases accuracy and flexibility of modelling and information processing in large-scale SC models. The tool applications, advantages and disadvantages are described by real world examples from Motorola Inc. SC.

Keywords: large-scale supply chains; SCM; supply chain management; modelling; optimisation management; MOMT; graphs; information processing; Motorola; industrial engineering; systems engineering.

DOI: 10.1504/IJISE.2010.029756

International Journal of Industrial and Systems Engineering, 2010 Vol.5 No.1, pp.48 - 78

Published online: 02 Dec 2009 *

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