Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12005
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dc.contributor.authorSpiegler, VLM-
dc.contributor.authorNaim, MM-
dc.contributor.authorTowill, DR-
dc.contributor.authorWikner, J-
dc.coverage.spatialEdinburgh, UK-
dc.coverage.spatialEdinburgh, UK-
dc.coverage.spatialEdinburgh, UK-
dc.date.accessioned2016-02-04T09:35:44Z-
dc.date.available2015-12-18-
dc.date.available2016-02-04T09:35:44Z-
dc.date.issued2016-
dc.identifier.citationEuropean Journal of Operational Research, 2016en_US
dc.identifier.issn0377-2217-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12005-
dc.description.abstractThere is a need to identify and categorise different types of nonlinearities that commonly appear in supply chain dynamics models, as well as establishing suitable methods for linearising and analysing each type of nonlinearity. In this paper simplification methods to reduce model complexity and to assist in gaining system dynamics insights are suggested. Hence, an outcome is the development of more accurate simplified linear representations of complex nonlinear supply chain models.  We use the highly cited Forrester production-distribution model as a benchmark supply chain system to study nonlinear control structures and apply appropriate analytical control theory methods. We then compare performances of the linearised model with numerical solutions of the original nonlinear model and with other previous research on the same model.  Findings suggest that more accurate linear approximations can be found. These simplified and linearised models enhance the understanding of the system dynamics and transient responses, especially for inventory and shipment responses.  A systematic method is provided for the rigorous analysis and design of nonlinear supply chain dynamics models, especially when overly simplistic linear relationship assumptions are not possible or appropriate. This is a precursor to robust control system optimisation.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.sourceThe 54th Conference of the UK Operational Research Society (OR54)-
dc.sourceThe 54th Conference of the UK Operational Research Society (OR54)-
dc.subjectSystem dynamicsen_US
dc.subjectNonlinear control theoryen_US
dc.subjectThe forrester model;Manufacturing and shipment constraintsen_US
dc.titleA technique to develop simplified and linearised models of complex dynamic supply chain systemsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.ejor.2015.12.004-
dc.relation.isPartOfEuropean Journal of Operational Research-
pubs.finish-date2012-09-06-
pubs.finish-date2012-09-06-
pubs.publication-statusPublished online-
pubs.start-date2012-09-04-
pubs.start-date2012-09-04-
Appears in Collections:Brunel Business School Research Papers

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