Kleijnen was a consultant for the following projects.
1. Netherlands:
"Chain networks, Clusters & ICT" (in Dutch: "KLICT/ICES"); see
Bettonvil, B. W. M., J.P.C. Kleijnen, and F. Persson (2004), Finding the important factors in large discrete-event simulation: Sequential bifurcation and its applications. Screening, edited by A.M. Dean and S.M. Lewis, Springer Verlag, New York
Kennisnet: simulation of logistic processes in schools; namely, so-called "ROCs"
Sociale Verzekeringsraad (SVR): micro-simulation of social security system to quantify the financial consequences of tax reforms for the Ministry and individual employees; see
Bosch, L., L. Smit, G. Elsendoorn and P. Verhees (1994), Loonelementen, daglonen en uitkeringslasten. Sociale Verzekeringsraad, Zoetermeer, Netherlands
FEL-TNO (Physics and Electronics Laboratory- Netherlands Organization for Applied Scientific Research, The Hague): statistical validation of a simulation model for the search of mines on the sea bottom; see
Kleijnen JPC (1995) Case study: statistical validation of simulation models. European Journal of Operational Research, 87, no. 2, pp. 1–34
VBF (Metal Tube Manufacturing, Oosterhout): optimization of a decision support system (DSS) for production planning, based on simulation; see
Kleijnen JPC (1993) Simulation and optimization in production planning: a case study. Decision Support Systems, 9, pp. 269–280
RIVM (National Institute for Public Health and Environment, Bilthoven): validation and sensitivity analysis of a deterministic simulation model for the global C02 greenhouse effect; see
Bettonvil B, Kleijnen JPC (1997) Searching for important inputs in simulation models with many inputs: sequential bifurcation. European Journal of Operational Research, 96, pp. 180–194
Kleijnen JPC, G. Van Ham, and J. Rotmans (1992) Techniques for sensitivity analysis of simulation models: a case study of the CO2 greenhouse effect. Simulation, 58, no. 6, pp. 410–417
PTT (The Hague): statistical methods (von Neumann test, importance sampling) for simulation models of telephone systems; see
Kleijnen, J.P.C., R van der Ven, and B Sanders (1982), Testing independence of simulation subruns: a note on the power of the Von Neumann test. European Journal of Operational Research, 9, no. 1, pp. 92-93
Hopmans, A. C. M., & Kleijnen, J. P. C. (1980). Regression estimation in simulation. The Journal of the Operational Research Society, 31, no. 11, pp. 1033-1038
Hopmans, A. C. M. and J.P.C. Kleijnen (1979), Importance sampling in systems simulation: A practical failure? Mathematics and Computers in Simulation. 21, 2, pp. 209-220
Europe Container Terminus (Rotterdam): sensitivity analysis of a simulation model for the harbor; see
Kleijnen, J.P.C., A.J. van den Burg, and R.Th. van der Ham (1979), Generalization of simulation results practicality of statistical methods. European Journal of Operational Research, 3, no. 1, pp. 50-64
Outside the Netherlands:
Sandia (Albuquerque, New Mexico, USA): statistical analysis of a simulation model for underground nuclear waste disposal in New Mexico; see
Kleijnen J.P.C. and J.C. Helton JC (1999) Statistical analyses of scatter plots to identify important factors in large-scale simulations, 1: review and comparison of techniques. Reliability Engineering & System Safety, 65, no. 2, pp. 147-185
Kleijnen J.P.C. and J.C. Helton JC (1999) Statistical analyses of scatter plots to identify important factors in large-scale simulations, 2: robustness of techniques. Reliability Engineering & System Safety, 65, no. 2, pp. 187-197
IBM (Research Labs, San Jose, California): cost/benefit analysis (including simulation) of computers; see
Kleijnen, J. P. C. (1980), Computers and profits: quantifying financial benefits of information. Addison-Wesley, Reading, Massachusetts
3. More consulting:
Deloitte (Rotterdam), Hasler (Bern, Switzerland), Philips (Eindhoven), INRIA (Paris), etc.; colleagues and students at universities in Austria, Belgium, Netherlands, New Zealand, USA, Switzerland, etc.; see
Vonk Noordegraaf A., M. Nielen, and J.P.C. Kleijnen (2003). Sensitivity analysis by experimental design and metamodeling: case study on simulation in national animal disease control. European Journal of Operational Research, 146, no. 3, pp. 433-443
Kleijnen J.P.C., A. Vonk Noordegraaf , and M. Nielen (2001), Sensitivity analysis of censored output through polynomial, logistic and tobit models: theory and case study. Proceedings of the 2001 WinterSimulation Conference, edited by B.A. Peters, J.S. Smith, D.J. Medeiros, and M.W. Rohrer, pp. 486-491
Halachmi, and J.P.C. Kleijnen (2002), Optimal facilty allocation in a robotic milking barn. Transactions of the American Society of Agricultural Engineering. 45, no. 5, pp. 539-1546
Halachmi I, J.H.M. Metz, S. Halachmi I., A. Dzidic, J.H.M. Metz, L. Speelman, A.A. Dijkhuizen, and J.P.C. Kleijnen(2001). Validation of a simulation model for robotic milking barn design. European Journal of Operational Research, 134. No. 3, pp. 677-688