| |
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Room
Stream |
09:00 |
09:30 |
10:00 |
10:30 |
09:25 |
09:55 |
10:25 |
10:55 |
G1
|
Curve Fitting with Discrete Pearson Distributions: An optimization approach by spreadsheet
H.Tuenter, W.Cook: York University, Toronto |
A Bayesian Approach to Equity Valuation
N.MacLeod: Quaestor Investment Management |
Forecasting the Suez Canal Traffic: A Comparison of ARIMA and Neural Network Models
M.Mostafa: Cranfield University, RMCS |
Frequency-changing betas, business cycles, and stock returns
Peijie.Wang: UMIST |
G2
|
A comparison of a frontier-based neural network and data envelopment analysis for assessing the efficiency of activity units
S.Curram, Athanassopoulos, E.Shale: Warwick Business School |
Financial analysis of civil reserve air fleet participants using data envelopement analysis
W.Bowlin: University of Northern Iowa |
Measuring efficiency and quality in retail banking: a data envelopment analysis approach
J.Coughlan: DIT, Ireland, R.Dyson: Warwick Business School |
Measuring the Robustness of Empirical Efficiency Valuations
L.Kuntz: University Hospital, Hamburg, S.Scholtes: Judge Institute, Cambridge |
M1
|
Legacy Systems - A Soft Approach to a Hard Problem
R.Pooley: Heriot-Watt University |
A Graph Theory Approach to Configuration Management
G.Allan: Department of Information Systems |
Accessing Knowledge Through Soft OR Methodologies
I.Yeoman: Napier University, J.Sparrow: University of Central England |
Discrete Event Simulation as tool for Understanding Healthcare Management Problems
T.Eldabi, R.Paul: Brunel University, J.Ratcliffe: Health Economic Research Group, Brunel University |
M2
|
Validation of Simulation Experiments Using Bootstrapping
R.Cheng: Southampton University |
Distributing Simulation
S.Taylor: Brunel University |
Games and Case Studies to Enhance Simulation Courses
J.Garnett: Paisley University |
Simulation Software: The ORS Survey
V.Hlupic: Brunel University |
M3
|
Modelling patient outcomes in end-stage renal failure
P.Rutherford, G.Walshe: University of Wales |
Involving clinicians in patient protocol modelling
Bryan-Jones: Edinburgh University, L.Stewart: Edinburgh Royal Infirmary, A.Tierney: Edinburgh University |
Modelling the effect of bad publicity on vaccination effectiveness in different areas of Wales
M.Temple, D.Fone: Gwent Health Authority |
Modelling chronic disease: Insights from diabetes
A.Bagust: York University, P.Hopkinson, C.Currie: Glaxo Wellcome plc |
M4
|
. |
. |
Investment Portfolios
B.Gutierrez, S.Gutirrez, C.Gutirrez: Instituto Politecnico Nacional, México |
Knowledge Management
D.Davison: Glasgow Caladonian University |
T1
|
An OR Approach to Establishing Software Engineering Requirements
Al-Karaghouli: Westminster University, M.Elstob, S.AlShawi: Brunel University |
Wicked Problems in Information Systems
G.Mallalieu: Sunderland University |
The Impact of Environmental Stability on Strategic Intelligence Scanning: An Empirical Study
M.Xu: Luton University |
. |
T2
|
Quantification for communication of system dynamics models
H.Akkermans: Origin IT, Netherlands |
Determination of the treatment-free AIDS incubation distribution using a system dynamics optimisational tool
Dangerfield: Salford University |
The validation of commercial system dynamics models
G.Coyle: South Bank University, D.Exelby: HVR Consulting Services |
The selling of system dynamics within an organisation: the case of the BBC world service
F.Delauzun, F.Martenson: BBC World Service, H.Saxby: BBC Word Service |
E1
|
Consulting Issues in Working with Senior Management Teams on Strategy Making
C.Eden: Strathclyde University |
Staying in your Pentagram, The Iron Law of Consulting, and other Rules for Consulting Survival
G.Woolsey: Colorado School of Mines |
E2
|
. |
Seven formulations of the Travelling Salesman Problem
HP.Williams: Southampton University |
An effective class of cutting planes for the weighted stable set problem
A.Letchford, A.Amaral, R.Eglese: Lancaster University |
A Genetic Algorithm for the Multicommodity Integer Network Flow Problem
I.Choi, D.Choi: Korea University |
H1
|
About control limits for the acceptance of jobs in multiserver systems without waiting rooms
J.v.d.Wal: Eindhoven University of Technology, L.Ormeci |
Feedback queues - the cost of allowing choice
E.Collins: Bristol University, A.C.Brooms: Oxford University |
Low stochastic structure analysis for queues
F.Coolen, Coolen-Schrijner: Durham University |
Response times in queues with bursty, correlated arrivals of positive and negative customers
P.Harrison: Imperial College |
H2
|
KEY:Multi-component optimisation models: approaches, algorithms and applications
R.Dekker: Erasmus University Rotterdam |
New Methodologies in Fault Tree and Event Tree Quantification
J.Andrews: Loughborough University |
Replacement Investment Decisions under Uncertainty in the Colombian Telecommunications Industry
P.Rodriguez, A.Torres: Universidad de los Andes |
H3
|
KEY:Innovation as a winning strategy
R.Duggan: DTI Innovation Unit |
Risk Multi-methodologies
P.Colbourne: DERA |
Driving down costs not organizational viability
T.Gill: Phrontis Ltd |
