Application of ranking method in evaluation of engineering investment projects

Authors

  • Dragan Lj Milanovic Assistant Professor
  • Dragan D Milanovic Associate Professor
  • Mirjana Z Misita Assistant Professor

DOI:

https://doi.org/10.23055/ijietap.2010.17.4.152

Keywords:

Ranking method, net present value, risk, payback period, investment.

Abstract

The hypothesis of this investigation is that in the estimate of several mutually exclusive engineering investment projects and decision-making on the best varieties, the complex ranking method has an advantage over classic method evaluation. Many of ”classical” methods do not give the desired results due to discontinuous character of variables. Our idea is to overcome this problem successfully combining appropriate methods and criteria. In this sense, ranking method allows projects to make the choice of the project on the grounds of more influential elements at the same time. Using this method we mutually compare among themselves according to upfront influential elements different projects. Therefore the methodology of determining the method of ranking projects starts from the determination of influential elements, after that each of these elements receive certain number of scores, and define the character of each of them.

Author Biographies

Dragan Lj Milanovic, Assistant Professor

Industrial Engineering Department, Faculty of Mechanical Engineering, University of Belgrade

Dragan D Milanovic, Associate Professor

Industrial Engineering Department, Faculty of Mechanical Engineering, University of Belgrade

Mirjana Z Misita, Assistant Professor

Industrial Engineering Department, Faculty of Mechanical Engineering, University of Belgrade

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Published

2010-09-09

How to Cite

Milanovic, D. L., Milanovic, D. D., & Misita, M. Z. (2010). Application of ranking method in evaluation of engineering investment projects. International Journal of Industrial Engineering: Theory, Applications and Practice, 17(4). https://doi.org/10.23055/ijietap.2010.17.4.152

Issue

Section

Operations Research