Affiliations: [a] Industrial & Manufacturing Systems Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn, MI 48128, USA | [b] Institute of Information Technology, Riga Technical University, Kalku 1, Riga, LV-1658, Latvia. Tel.: +371 7089594; Fax: +371 7089513; E-mail: [email protected]
Correspondence:
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Corresponding author: Charu Chandra, Industrial & Manufacturing Systems Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn, MI 48128, USA. Tel.: +1 313 593 5258; Fax: +1 313 593 3692; E-mail: [email protected].
Abstract: Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.
Keywords: Supply chain, information modeling, service-oriented architecture
