Adaptive Project Monitoring and Control with Variable Reviewing Intervals

Authors

  • Seyed Taha Hossein Mortaji PhD., Iran University of Science and Technology, Industrial Engineering Department, Tehran, Iran.
  • Siamak Noori * Associate Professor, Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran
  • Morteza Bagherpour Assistant Professor, Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran

DOI:

https://doi.org/10.59615/ijie.1.4.34

DOR:

https://dorl.net/dor/20.1001.1.27831906.2021.1.4.3.1

Keywords:

Statistical Project Control, Variable Reviewing Intervals, Adaptive Control Points, Earned Value Management, Project Monitoring and Control

Abstract

This paper presents a managerial project control scheme in which the time between the control points is not fixed but instead is a function of the distance between the planned and the current performance levels. Varying the reviewing interval improves the efficiency of the project monitoring and control process and allows project managers to obtain the required information more quickly. To evaluate the effectiveness of the proposed scheme, a systematic computational experiment is carried out. Besides, a practical case study is given to illustrate the applicability of the proposed scheme. The results reveal the satisfactory performance of the adaptive control scheme.

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References

• Aliverdi, R., Moslemi Naeni, L., & Salehipour, A. (2013). Monitoring project duration and cost in a construction project by applying statistical quality control charts. International Journal of Project Management, 31(3), 411-423.

• Aminian, V., Rahimi Nejad, A., Mortaji, S., & Bagherpour, M. (2016). A modified earned value management using activity based costing. Journal of project management, 1(12), 41-54.

• Armani, V., Gibson Jr, G., El Asmar, M., & Cho, N. (2021). Earned Value Management System State of Practice: Identifying Critical Subprocesses, Challenges, and Environment Factors of a High-Performing EVMS. Journal of Management in Engineering, 37(4), 04021031.

• Bauch, G. T., & Chung, C. A. (2001). A statistical project control tool for engineering managers. Project Management Journal, 32, 37-44.

• De Falco, M., & Macchiaroli, R. (1998). Timing of control activities in project planning. International Journal of Project Management, 16(1), 51-58.

• Dodson, M., Defavari, G., & Carvalho, V. D. (2015). Quality: the third element of earned value management. Procedia Computer Science, 64, 932-939.

• Fleming, Q. W., & Koppelman, J. M. (2010). Earned Value Project Management. Newtown Square: Project Management Institute.

• Hadian, H., & Rahimifard, A. (2019). Multivariate statistical control chart and process capability indices for simultaneous monitoring of project duration and cost. Computers & Industrial Engineering, 130, 788-797.

• Hussain, Z., Barber, K., & Hussain, N. (2009). An Intranet based system as an enabler in effective project management and implementation of quality standards: A case study. Journal of Engineering and Technology Management, 26(3), 196-210.

• Khamooshi, H., & Golafshani, H. (2014). EDM: Earned Duration Management, a new approach to schedule performance management and measurement. International Journal of Project Management, 32(6), 1019-1041.

• Khesal, T., Saghaei, A., Khalilzadeh, M., Rahiminezhad Galankashi, M., & Soltani, R. (2019). Integrated cost, quality, risk and schedule control through earned value management (EVM). Journal of Engineering, Design and Technology, 17(1), 183-203.

• Kogan, K., Raz, T., & Elitzur, R. (2002). Optimal control in homogeneous projects: analytically solvable deterministic cases. Iie Transactions, 34(1), 63-75.

• Leon, H., Osman, H., Georgy, M., & Elsaid, M. (2018). System dynamics approach for forecasting performance of construction projects. Journal of Management in Engineering, 34(1), 04017049.

• Leu, S.-S., & Lin, Y.-C. (2008). Project performance evaluation based on statistical process control techniques. Journal of Construction Engineering and Management, 134(10), 813-819.

• Lipke, W. H. (2009). Earned Schedule. Chicago: Lulu.

• Lipke, W. H., & Vaughn, J. (2000). Statistical process control meets earned value. CrossTalk: The Journal of Defense Software Engineering, 13.

• Montgomery, D. C. (2013). Introduction to Statistical Process Control. New York: John Wiley and Sons.

• Mortaji, S., & Hosseinzadeh, M. (2021). A Competitive Nature-Inspired Cuckoo Search Algorithm for Solving the Resource Constrained Project Scheduling Problem. International Journal of Innovation in Engineering, 1(3), 48-64.

• Mortaji, S., Bagherpour, M., & Mahdavi Mazdeh, M. (2013). Fuzzy time-driven activity-based costing. Engineering Management Journal, 25(3), 63-73.

• Mortaji, S., Bagherpour, M., & Noori, S. (2013). Fuzzy earned value management using LR fuzzy numbers. Journal of Intelligent & Fuzzy Systems, 24(2), 323-332.

• Mortaji, S., Noori, S., & Bagherpour, M. (2021). Directed earned value management based on ordered fuzzy numbers. Journal of Intelligent & Fuzzy Systems, 40(5), 10183-10196.

• Mortaji, S., Noori, S., & Bagherpour, M. (2021). Directed earned value management based on ordered fuzzy numbers. Journal of Intelligent & Fuzzy Systems, 40(5), 10183-10196.

• Mortaji, S., Noori, S., Noorossana, R., & Bagherpour, M. (2017). An ex ante control chart for project monitoring using earned duration management observations. Journal of Industrial Engineering International, 1-14.

• Mortaji, S., Noorossana, R., & Bagherpour, M. (2015). Project completion time and cost prediction using change point analysis. Journal of Management in Engineering, 31(5), 04014086.

• Orgut, R. E., Batouli, M., Zhu, J., Mostafavi, A., & Jaselskis, E. J. (2020). Critical Factors for Improving Reliability of Project Control Metrics throughout Project Life Cycle. Journal of Management in Engineering, 36(1), 04019033.

• Partovi, F. Y., & Burton, J. (1993). Timing of monitoring and control of CPM projects. IEEE Transactions on Engineering Management, 40(1), 68-75.

• Patanakul, P., Shenhar, A. J., & Milosevic, D. Z. (2012). How project strategy is used in project management: Cases of new product development and software development projects. Journal of Engineering and Technology Management, 29(3), 391-414.

• Qazi, A., Dikmen, I., & Birgonul, M. (2020). Mapping uncertainty for risk and opportunity assessment in projects. Engineering Management Journal, 32(2), 86-97.

• Raz, T., & Erel, E. (2000). Optimal timing of project control points. European Journal of Operational Research, 127(2), 252-261.

• Sabeghi, N., & Tareghian, H. (2020). Using the generalized maximum covering location model to control a project’s progress. Computational Management Science, 17(1), 1-21.

• Sabeghi, N., Tareghian, H., Demeulemeester, E., & Taheri, H. (2015). Determining the timing of project control points using a facility location model and simulation. Computers & Operations Research, 61, 69-80.

• Salehipour, A., Naeni, L. M., Khanbabaei, R., & Javaheri, A. (2016). Lessons Learned from Applying the Individuals Control Charts to Monitoring Autocorrelated Project Performance Data. Journal of Construction Engineering and Management, 142(5), 04015105.

• Sogandi, F., Mousavi, S., & Amiri, A. (2018). Self-starting control chart and post signal diagnostics for monitoring project earned value management indices. Journal of Industrial and Systems Engineering, 11(2), 85-100.

• Sols, A. (2018). A comprehensive approach to dynamic project risk management. Engineering Management Journal, 30(2), 128-140.

• Tareghian, H., & Salari, M. (2009). On the optimal frequency and timing of control points in a projects’s life cycle. International Journal of Industrial Engineering & Production Research, 20(3), 96-102.

• Wang, Q., Jiang, N., Gou, L., Che, M., & Zhang, R. (2006). Practical experiences of cost/schedule measure through earned value management and statistical process control. In Software Process Change (pp. 348-354). Berlin: Springer.

• Willems, L. L., & Vanhoucke, M. (2015). Classification of articles and journals on project control and earned value management. International Journal of Project Management, 33(7), 1610-1634.

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Published

2021-12-28

How to Cite

Mortaji, S. T. H., Noori, S., & Bagherpour, M. . (2021). Adaptive Project Monitoring and Control with Variable Reviewing Intervals . International Journal of Innovation in Engineering, 1(4), 34–46. https://doi.org/10.59615/ijie.1.4.34

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Section

Original Research