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EPSRC Reference: GR/N11841/01
Title: DECISION SUPPORT FOR OPERATIONAL SUPPLY CHAIN MANAGEMENT AND CONTROL IN THE PRESENCE OF UNCERTAINTY
Principal Investigator: Petrovic, Professor D
Other Investigators:
Burnham, Professor K
Researcher Co-Investigators:
Project Partners:
J&J Cash Ltd
Department: Mathematical and Information Sciences
Organisation: Coventry University
Scheme: Standard Research (Pre-FEC)
Starts: 02 October 2000 Ends: 01 October 2003 Value (£): 58,338
EPSRC Research Topic Classifications:
Intelligent & Expert Systems Manufact. Business Strategy
EPSRC Industrial Sector Classifications:
Manufacturing No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Accommodating uncertainty in supply chain modelling is of real importance for effective supply chain management and control. In this research an original approach to modelling uncertainties in supply chains, based on fuzzy sets theory, is proposed. This approach offers conceptual and computational simplicity. It is useful in cases where there is lack of available data about supply chain parameters, lack of certainty in data or when data does not exist.Two types of models: (1) optimisation models which treat different sources of uncertainties simultaneously, using fuzzy sets, and (2) simulation models, which evaluate supply chain performance, will be developed. Three main structures that constitute a supply chain will be considered, namely serial, assembly and distribution structures. The models will be combined into a powerful prototype decision support system. Different supply chain control stratgegi9es will be embedded in the prototype decision support system analysed, including decentralised control, partially coordinated control and fully coordinated control.Successful outcomes of this research can contribute to (1) enhancing decision making on supply chain control parameters in order to improve its performance and (2) gaining more insight into supply chain behaviour and its performance in an uncertain environment.
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Organisation Website: http://www.cov.ac.uk