R.C.M. (Ruud) Brekelmans
Assistant Professorr.c.m.brekelmans@uvt.nl
Faculty of Economics and Business Administration
Department of Econometrics and Operations Research
Expertise
Key words
Publications
Most recent publications
- Janssen, E., Strijbosch, L.W.G., & Brekelmans, R.C.M. (2009). Assessing the effect of using demand parameters estimates in inventory control and improving the performance using a correction function. International Journal of Production Economics, 118(1), 34-42. Further information
- Brekelmans, R.C.M., Driessen, L., Hamers, H.J.M., & Hertog, D. den (2008). Gradient estimation using Lagrange interpolation polynomials. Journal of Optimization Theory and Applications, 136(3), 341-357. Further information
- Krikke, H.R., Brekelmans, R.C.M., Fleuren, H.A., & Kuijpers, C.M.H. (2008). Does trust foster sustainability? Results from a management simulation game. In H.F. Wang (Ed.), Web-Based Green Product Life Cycle Management Systems: Reverse Supply Chain Utilization. Hershey, PA: Information Science Reference. Further information
- Janssen, E., Strijbosch, L.W.G., & Brekelmans, R.C.M. (2007). How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters. (CentER Discussion Paper, 2007-71) pp. 1-18. Further information
- Driessen, L., Brekelmans, R.C.M., Gerichhausen, M., Hamers, H.J.M., & Hertog, D. den (2006). Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models. (CentER Discussion Paper, 2006-4) pp. 1-19. Further information
Click here for the complete list of publications (Tilburg University Repository Publications only)
Education
1996 - 2000: Ph. D. Econometrics, Tilburg University
Date of defence: June 15, 2000
Title of Ph.D. thesis: Stochastic Models in Risk Theory and Management Accounting
Promotors: Prof.dr. Frank van der Duyn Schouten and Dr. Anja De Waegenaere
1994 - 1995: Master, Econometrics, Tilburg University
Title of Master's thesis: Chain Statistics of Polymers
Date of defence: December 20, 1995
Supervisors: Dr. Feico Drost, Dr. ir. Loyens and Dr. ir. Tulleken
1990 - 1994: Econometrics, Tilburg University
Career
08/2000 - present: Scientific Researcher
Publications
Most recent publications
- Janssen, E., Strijbosch, L.W.G., & Brekelmans, R.C.M. (2009). Assessing the effect of using demand parameters estimates in inventory control and improving the performance using a correction function. International Journal of Production Economics, 118(1), 34-42. Further information
- Brekelmans, R.C.M., Driessen, L., Hamers, H.J.M., & Hertog, D. den (2008). Gradient estimation using Lagrange interpolation polynomials. Journal of Optimization Theory and Applications, 136(3), 341-357. Further information
- Krikke, H.R., Brekelmans, R.C.M., Fleuren, H.A., & Kuijpers, C.M.H. (2008). Does trust foster sustainability? Results from a management simulation game. In H.F. Wang (Ed.), Web-Based Green Product Life Cycle Management Systems: Reverse Supply Chain Utilization. Hershey, PA: Information Science Reference. Further information
- Janssen, E., Strijbosch, L.W.G., & Brekelmans, R.C.M. (2007). How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters. (CentER Discussion Paper, 2007-71) pp. 1-18. Further information
- Driessen, L., Brekelmans, R.C.M., Gerichhausen, M., Hamers, H.J.M., & Hertog, D. den (2006). Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models. (CentER Discussion Paper, 2006-4) pp. 1-19. Further information
Click here for the complete list of publications (Tilburg University Repository Publications only)
Teaching
R.C.M. (Ruud) Brekelmans teaches the following subjects:
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Inventory Management (35V5A8)
Further information
Room K 532
PO Box 90153
5000 LE Tilburg
| Phone | +31 13 466 8234 |
| Secretary | +31 13 466 2430 |
| Fax | +31 13 466 3280 |
| r.c.m.brekelmans@uvt.nl |
Assistant Professor
Faculty of Economics and Business Administration
Department of Econometrics and Operations Research
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