A SIMULATION BASED APPROACH FOR AN INVESTMENT PROJECT EVALUATION UNDER UNCERTAIN AND RISKY ENVIRONMENTS
Abstract
cannot be certain and really materialized values. It is inevitable that there exists a deviation or gap between
forecasted values and actual values. Thus, project risk level of the proposal should be analyzed
in the assessment phase. Simulation based project evaluation approaches enables to make more reliable
investment decision since they permits including future uncertainty and risk in analyze process. In
addition, many times, project proposals are evaluated with more than one conflicted criteria. The aim
of this paper is to present a new approach that accounts for multiple objectives for evaluating risky
investment projects and determining projects risk level. With the proposed simulation based optimization
approach, necessity values for project parameters are determined to reach the expected profitability
of the investment with the minimum initial investment cost. Also, there is an illustrative example
given in this study as an application of the proposed approach.
Keywords
References
- Al-Harbi, K.M.A. (2001). Application of the AHP in project management. International Journal of Project Management 19, 19-27
- Ammar, E. ve Khalifa, H.A. (2005). Characterization of optimal solutions of uncertainty investment problem. Applied Mathematics and Computation 160, 111-124.
- Aouni, B. ve Kettani, O. (2001). Goal programming model: A glorious history and a promise future. European Journal of Operational Research 133, 225-231.
- Armaneri, Ö. ve Yalçınkaya, Ö. (2006). Evaluation of Risky Investment Projects through Simulation and Response Surface Methodology. Lectures on Modeling and Simulation. 7(2), 21-30.
- Armaneri, Ö., Yalçınkaya, Ö. ve Eski, H. (2005). Riskli Yatırım Projelerinin Simülasyon Metamodelleme Yöntemi ile Ekonomik Açıdan Değerlendirilmesi. TMMOB Makina Mühendisleri Odası, V.Endüstri-İşletme Mühendisliği Kurultayı Bildiriler Kitabı. s.245-250.
- Badiru, A.B. ve Sieger, D.B. (1998). Neural network as a simulation metamodel in economic analysis of risky projects. European Journal of Operational Research 105, 130-142.
- Bellman, R. ve Zadeh, L. (1971). Decision making in a fuzzy environment. Management Science 17, 141-164.
- Borgonovo, E. ve Peccati, L. (2004). Sensitivity analysis in investment project evaluation. International Journal of Production Economics 90, 17-25.
- Borgonovo, E. ve Peccati, L. (2006). Uncertainty and global sensitivity analysis in the evaluation of investment projects. International Journal of Production Economics 104(1), 62-73.
- Choobineh, F. ve Behrens, A. (1992). Use of intervals and possibility distributions in economic analysis. Journal of the Operational Research Society 43(9), s.907- 918.