Riddalls, C.E., Bennett, S. and Tipi, N. (1999) Modelling the Dynamics of Supply Chains. UNSPECIFIED. ACSE Research Report 741 . Department of Automatic Control and Systems Engineering
Abstract
Since the 1960's many academic and managerial researches have focused their attention on production-inventory-distribution systems. The application of diverse mathematical techniques from continuous differential equation systems to mathematical programming models have been attempted. Yet none have predominated over Operational Research techniques either in industry or the research literature. This aper aims to enumerate and appraise the various methodologies which have been applied to supply chain analysis over the last forty years. In particular we shall ask of each technique: To what extent does it reveal the dynamics of the process involved? These questions are important since only through knowledge of the dynamics can we gain a full appreciation and understanding of the factors which affect supply chain performance.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 02 Mar 2015 10:18 |
Last Modified: | 25 Oct 2016 20:55 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 741 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83874 |