Dr Adrian Adewunmi

 

 Adrian Adewunmi
role Role: Post Graduate Researcher
qualifications Qualifications: BSc Computer Science
office Office:

n/a
telephone Telephone: n/a
email Email: n/a
homepage Homepage: http://ima.ac.uk/adewunmi

Research

Developing a Fuzzy logic based expert system for the automated selection of a Variance Reduction Technique for a Crossdocking distribution centre simulation model.

Investigated the application of Variance Reduction Techniques on a Crossdocking distribution centre simulation model.

Teaching & Supervision

My Ph.D supervisor is Professor Uwe Aickelin.

Conference Papers
Author(s) Title Publisher Page Year
Adrian Adewunmi, Uwe Aickelin Optimisation of a Crossdocking distribution centre simulation model Proceedings of the 2008 International Simulation Multi-Conference (SCS), San Diego, USA 434-439 2008
Adrian Adewunmi, Uwe Aickelin Reducing Variance in a Crossdocking Simulation Model using Common Random Numbers and Antithetic Variates Annual Operational Research Conference 50 (OR 50), York, UK 2008
Adrian Adewunmi, Uwe Aickelin, Mike Byrne An Investigation of Sequential Sampling Method for Crossdocking Simulation Output Variance Reduction Proceedings of the 2008 Operational Research Society 4th Simulation Workshop (SW08), Birmingham, UK 87-96 2008
Adrian Adewunmi, Uwe Aickelin Noise Reduction Technique for a Simulation Optimisation Study Annual Operational Research Conference 49 (OR 49), Edinburgh, UK 2007
Adrian Adewunmi, Uwe Aickelin Simulation Optimization of the Crossdock Door Assignment Problem Proceedings of the 2006 OR Society Simulation Workshop, Birmingham, UK 311-313 2006

Research Reports
Author(s) Title Publisher Page Year
Adrian Adewunmi Selection Of Simulation Variance Reduction Techniques Through A Fuzzy Expert System PhD Thesis, School of Computer Science, University of Nottingham 2010

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.