The Management and Evaluation of Independent Project Portfolios under Uncertainty and Projects Incompatibility

Document Type : Original Article

Authors

1 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran.

2 BSc Student of Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran.

Abstract

This research focuses on evaluating and proposing some approaches in order to choose the most economic projects under risk and uncertainty. In this investigation, the considered projects are independent and naturally selecting multiple options, as a project portfolio, is possible. The restrictive criterion for the investor in selecting large-scale portfolios is the limited available budget and capital that determine which projects are economic and can be selected. However, variations and inconsistencies in the economic utility of projects, which is caused by external uncertainties, is an important factor that should be considered in such evaluations. In this research, two different approaches are proposed for the economic evaluation of project portfolio under risk and uncertainty. The first approach is designed based on a normal distribution curve and the minimum coefficient of variation (CV), while the second one acts based on a corrected available budget and the maximum expected value. Finally, the results of the proposed approaches are evaluated and analyzed considering the presented sample problems.  

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References

Oskoonejad,  M. (2013). Engineering economics: Economical evaluation of industrial projects.  Tehran:  Amirkabir University of Technology Press. (in persian)
Alvani, S. M.  (2005). General Management.  Tehran: Ney Press. (in persian)
Poorheidari, O  &  akhlaghi yazdinejad,  E. (2008).  Investigation of Advanced Evaluation Methods: Risk Analysis and Inflatoin Analysis In Long-Term Projects, Journal of Economics Research, 9(4), 37-56. 
Soltani, G. (1999). Engineering Economics. Shiraz: Shiraz University Press. (in persian)
Jafari, M & ebnerasool, S. A & didevar, F. (2005). Role of Knowledge Management and Information Technology in Project Risk Manangement, International Journal of Industrial Engineering & Production Management. 17(5), 31-37.( in persian)
Entrepreneurship, 101 techniques for creative problem solving, Tehran: Amirkabir University Press. (in persian)
Seyed Hoseini, S. M. (2013). Advanced Engineering Economics and Decision Making Analysis, Tehran: Iran University of Science and Technology Press. . (in persian)
Dorgi, P. (2009). Tehran: How to Manage Business in Economic Crisis, Rasa Books Institue. . (in persian)
Alam Tabriz, A & Hamzei, E. (2000). Evaluation and Analysis of Project Risks using Integrated Approach of PMBOK Risk Management and RFMEA Technique, Industrial Engineering Studies, 9(23), 1-19. . (in persian)
Nasibi, M. & Modiri, M. & Nekoei, M. A. & Hasanavi, R. & Noori, M. (2014). Establishment of Information Interactive Model and Stakeholders Activities  of Crisis Management in Industry using Concurent Engineering, Iran Khodro Case Study, Crisis Manangement, 4(2), 23-36. . (in persian)
A Guide to the Project Management Body of Knowledge: PMBOK Guide, (2013), Project Management Institute, 5th Edition.
Bruno, S., Ahmed, S., Shapiro, A., & Street, A. (2016). Risk neutral and risk averse approaches to multistage renewable investment planning under uncertainty. European Journal of Operational Research, 250(3), 979-989.
Doshi, H., Kumar, P., & Yerramilli, V. (2017). Uncertainty, Capital Investment, and Risk Management. Management Science.
Gutjahr, W. J., & Reiter, P. (2010). Bi-objective project portfolio selection and staff assignment under uncertainty. Optimization, 59(3), 417-445.
Kara, G., Özmen, A., & Weber, G. W. (2017). Stability advances in robust portfolio optimization under parallelepiped uncertainty. Central European Journal of Operations Research, 1-21.
Khanjarpanah, H., & Pishvaee, M. S. (2018). A fuzzy robust programming approach to multi-objective portfolio optimisation problem under uncertainty. International Journal of Mathematics in Operational Research, 12(1), 45-65.
Konno, H., & Yamazaki, H. (1991). Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market. Management science, 37(5), 519-531.
Maier, S. F., Peterson, D. W., & Vander Weide, J. H. (1977). A monte carlo investigation of characteristics of optimal geometric mean portfolios. Journal of Financial and Quantitative Analysis, 12(2), 215-233.
Markowitz, H. (1959), Portfolio Selection; Eicient Diversii cation of Investment. New York: Wiley.
Meinen, P., & Roehe, O. (2017). On measuring uncertainty and its impact on investment: cross-country evidence from the euro area. European Economic Review, 92, 161-179.
Nozick, L. K., Turnquist, M. A., & Xu, N. (2004). Managing portfolios of projects under uncertainty. Annals of Operations Research, 132(1-4), 243-256.
Panadero, J., Doering, J., Kizys, R., Juan, A. A., & Fito, A. (2018). A variable neighborhood search simheuristic for project portfolio selection under uncertainty. Journal of Heuristics, 1-23.
Rachev, S., Ortobelli, S., Stoyanov, S., Fabozzi, F., Biglova, A. (2008), Desirable Properties of an Ideal Risk Measure in Portfolio Theory. International Journal of Theoretical and Applied Finance, 11, 19–54.
Smart, Caroline, and Ilan Vertisky, (1977), Design for Crisis Decision Units, in Administrative Science Quarterly, 22, pp. 638-67.
Speranza, M. G. (1993), Linear Programming Models for Portfolio Optimization. Finance, 14, 107–123.
Xidonas, P., Hassapis, C., Soulis, J., & Samitas, A. (2017). Robust minimum variance portfolio optimization modelling under scenario uncertainty. Economic Modelling, 64, 60-71.
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