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Adewunmi, Adrian and Aickelin, Uwe (2008) Optimisation of a crossdocking distribution centre simulation model. In: Proceedings of the 2008 International Simulation Multi-conference. The Society For Modeling and Simulation International (SCS), San Diego, Calif, 434 - 439.

Full text not available from this repository.

Abstract

This paper reports on continuing research into the

modelling of an order picking process within a

Crossdocking distribution centre using Simulation

Optimisation. The aim of this project is to optimise a

discrete event simulation model and to understand factors

that affect finding its optimal performance. Our initial

investigation revealed that the precision of the selected

simulation output performance measure and the number of

replications required for the evaluation of the optimisation

objective function through simulation influences the ability

of the optimisation technique. We experimented with

Common Random Numbers, in order to improve the precision of our simulation output performance measure, and intended to use the number of replications utilised for this purpose as the initial number of replications for the optimisation of our Crossdocking distribution centre simulation model. Our results demonstrate that we can improve the precision of our selected simulation output performance measure value using Common Random Numbers at various levels of replications. Furthermore, after optimising our Crossdocking distribution centre simulation model, we are able to achieve optimal performance using fewer simulations runs for the simulation model which uses Common Random Numbers as compared to the simulation model which does not use Common Random Numbers.

Item Type:	Book Section
RIS ID:	https://nottingham-repository.worktribe.com/output/1015400
Additional Information:	Paper originally presented at: Summer Computer Simulation Conference (SCSC'08), part of the International Simulation Multi-conference (ISMc'08), held in Edinburgh, 16-19 June 2008.
Keywords:	Crossdocking, Simulation Optimisation, Common Random Numbers
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	18 Feb 2009 11:08
Last Modified:	04 May 2020 20:27
URI:	https://eprints.nottingham.ac.uk/id/eprint/976

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