Project team builder explained

Project team builder (PTB) is a project management simulation tool developed for training and teaching the concepts of project management and for improving project decision making. A number of published books and academic papers are based on the PTB and its predecessors. The PTB won the Project Management Institute Professional Development Product of the Year Award.[1] The PTB is used in universities and business organizations around the world. The simulator is based on an approach that separates the simulation engine from the scenario editor and allows each user (or instructor) to simulate any project. The simulation engine simulates the dynamic stochastic nature of modern projects. The design of the PTB supports the system engineering approach to Problem solving as each scenario presents the requirements, the alternatives that can be selected and the constraints imposed on the solution. The user has to trade off the cost, schedule, risk, and benefits to the stake holders and to find a feasible, robust, good solution for the scenario. The solution is then simulated by the simulation engine while the trainee exercises monitoring and control throughout the execution.A planned project can be simulated using Monte Carlo simulation. This is done in automatic mode (without a human decision maker involved) and shows the probability to finish the project at any time period or at any cost. Furthermore, based on the Monte Carlo simulation the probability of each activity to be on the critical path is estimated (the criticality index). The Monte Carlo analysis supports risk analysis and decision making.Another characteristic of the simulator is the ability to save points in the history of each run for future analysis or even for testing a different solution from any of the points saved.

History

The simulator was initially developed in the early nineties as the project management trainer at the Technion.It was used to train students at the Technion and project teams from the Israel Electric Corporation. Based on extensive research on simulation based training the Technion team expanded the PTB to include history mechanisms and a scenario builder with which the trainee can import real project files and simulate these projects.In 2008 the PTB won the Project Management Institute Product of the Year award.[1]

Software

The PTB allows the user to create their own projects or to load predefined projects and simulate the planning and execution of those projects. The user starts by creating a plan for the project by choosing different modes of execution, assigning task start times, managing resources, etc. After the plan is ready the user can advance the simulation time. The PTB engine randomly generates different parameters to simulate the stochastic nature of real projects. The user has to continuously monitor the project and react to the non-deterministic events. The project fails if the cash flow runs negative. Once the user completes the project a final score is presented based on benefits and costs of the solution.The topics covered by the PTB are:

Publications

The book "Project Management Simulation with PTB Project Team Builder"[2] was published by Springer Science+Business Media in March 2012. Research based on the PTB was conducted at institutes such as MIT, Technion, Pennsylvania State University, Drexel University and Australian National University. Some of this research was published in scientific Journals:

See also

External links

Notes and References

  1. Project Management Institute "Project Management Institute Honors The Technion-Israel Institute of Technology", October 20, 2008 Web site: The Technion-Israel Institute of Technology Honored | Project Management Institute . 2011-08-11 . dead . https://web.archive.org/web/20120320045052/http://www.pmi.org/en/About-Us/Press-Releases/Honors-The-Technion-Israel-Institute-of-Technology.aspx . 2012-03-20 .
  2. Shtub Avraham, "Project Management Simulation with PTB Project Team Builder", Springer Science+Business Media, 2012, March,
  3. Davidovitch, L., A. Parush and A. Shtub, April, 2008, Computers & Education, Vol. 50, No. 3, 866–880
  4. Davidovitch, L., A. Parush and A. Shtub, March, 2009, International Journal of Engineering Education, Vol. 25, No. 2, 333–340(8)
  5. Nembhard, D., K. Yip and A. Shtub, April, 2009, International Journal of Engineering Education, 181–192
  6. Shtub, A., A. Parush and T. Hewett, March, 2009, International Journal of Engineering Education, Vol. 25, No. 2, 206–209
  7. Parush, A., L. Davidovitch and A. Shtub, May, 2010, IEEE Transactions on Engineering Management', Vol. 57, No. 2, 288–300
  8. Vanhoucke, M. and A. Shtub, January, 2011, PM World Today,(featured paper), Vol. XIII, Issue I
  9. Davidovitch, L., A. Shtub and A. Parush, April, 2008, PMS 2008, Istanbul, Turkey
  10. Shtub, A., April, 2011, POMS 22nd Annual Conference Reno, Nevada, U.S.A
  11. Cohen I., Iluz, M., and Shtub A.,Systems Engineering (2013)
  12. Shtub, A., PM World Journal, Vol. II, Issue XI – November 2013
  13. Zwikael, O., Shtub, A. and Chih, Y., Journal of Management in Engineering (June 2013)