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dc.contributor.authorClement, Rossen
dc.contributor.authorKang, Parminder Singhen
dc.contributor.authorHopewell, Ashleyen
dc.contributor.authorDuffy, A. P.en
dc.date.accessioned2015-11-10T16:14:25Z
dc.date.available2015-11-10T16:14:25Z
dc.date.issued2015-10
dc.identifier.citationClement, R., Kang, P. S., Hopewell, A. and Duffy, A. (2015) Using Agent-Based Simulation to Investigate Daily Order Variation of a B2B Fresh Food Supplier. 29th European Simulation and Modelling Conference, Leicester, UK, 26 -28 October 2015.en
dc.identifier.urihttp://hdl.handle.net/2086/11344
dc.description.abstractAgent-based simulation has been used to simulate customers of a B2B fresh food supplier, in order to examine why total orders vary considerably on a day by day basis. Different types of virtual customers can be included in the simulation, ordering products using different strategies including their own demand prediction. This simulation suggests that customers changing the day of their order is the largest cause of daily order variance.en
dc.language.isoenen
dc.publisher29th European Simulation and Modelling Conferenceen
dc.subjectAgent-Based Simulationen
dc.subjectDemand Forecastingen
dc.subjectFresh Food Suppliersen
dc.subjectSimulation Trace Analysisen
dc.titleUsing Agent-Based Simulation to Investigate Daily Order Variation of a B2B Fresh Food Supplieren
dc.typeConferenceen
dc.researchgroupAdvanced Manufacturing Processes and Mechatronics Centre (AMPMC)en
dc.peerreviewedYesen
dc.funderInnovateUKen
dc.projectidAIDMTen
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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