Riddalls, C.E. and Bennett, S. (2000) The Optimal Control of Inventory Systems. Research Report. ACSE Research Report 762 . Department of Automatic Control and Systems Engineering
Abstract
The science of Operational Research has traditionally dominated in the field of inventory theory. Yet there have been sporadic attempts to apply methods from control theory in this domain. We review these efforts, concentrating particularly on optimal control approaches. We also enumerate the generic benefits and limitations of operational research methods. Through these efforts we judge whether the supremacy of operational research techniques in the field of inventory systems is warranted. We apply a novel optimal control algorithm to a differential equation model of an inventory system. This enables us to mimic the cost structures implied by quantity discounts and approximate capacity constraints. Some examples illustrate how optimal responses to instantaneous jumps in demand are generated and how these are affected by quantity discounts.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
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: |
|
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: | 20 Mar 2015 11:20 |
Last Modified: | 28 Oct 2016 00:08 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 762 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84377 |