Optimisation of a crossdocking distribution centre simulation model
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 pe...
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| Format: | Book Section |
| Published: |
The Society For Modeling and Simulation International (SCS)
2008
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/976/ |
| _version_ | 1848790518001041408 |
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| author | Adewunmi, Adrian Aickelin, Uwe |
| author_facet | Adewunmi, Adrian Aickelin, Uwe |
| author_sort | Adewunmi, Adrian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:13:53Z |
| format | Book Section |
| id | nottingham-976 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:13:53Z |
| publishDate | 2008 |
| publisher | The Society For Modeling and Simulation International (SCS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-9762020-05-04T20:27:25Z https://eprints.nottingham.ac.uk/976/ Optimisation of a crossdocking distribution centre simulation model Adewunmi, Adrian Aickelin, Uwe 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. The Society For Modeling and Simulation International (SCS) 2008 Book Section PeerReviewed 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. Crossdocking Simulation Optimisation Common Random Numbers http://www.scs.org/confernc/summersim/summersim08/summersim08.htm |
| spellingShingle | Crossdocking Simulation Optimisation Common Random Numbers Adewunmi, Adrian Aickelin, Uwe Optimisation of a crossdocking distribution centre simulation model |
| title | Optimisation of a crossdocking distribution centre simulation model |
| title_full | Optimisation of a crossdocking distribution centre simulation model |
| title_fullStr | Optimisation of a crossdocking distribution centre simulation model |
| title_full_unstemmed | Optimisation of a crossdocking distribution centre simulation model |
| title_short | Optimisation of a crossdocking distribution centre simulation model |
| title_sort | optimisation of a crossdocking distribution centre simulation model |
| topic | Crossdocking Simulation Optimisation Common Random Numbers |
| url | https://eprints.nottingham.ac.uk/976/ https://eprints.nottingham.ac.uk/976/ |