Resource management for the issue of selecting and scheduling a self-financing project portfolio in Project-oriented organizations

Subject Areas : Statistics

Seyed Mahdi Mirkhorsandi Langaroudi ¹ , Hossein Khosravi ² , Alireza Davoodi ³ , Seyed Mojtaba Movahedifar ⁴

1 - Department of Civil Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
2 - Assistant Professor, Department of Civil Engineering, Hakim Sabzevari University, Sabzevar, Iran
3 - Department of Mathematics, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
4 - Department of Civil Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran

Received: 2020-12-18 Accepted : 2021-03-29 Published : 2021-09-23

Keywords: تخصیص منابع, انتخاب و زمانبندی سبدپروژه خود تامین, تسطیح منابع, سازمان پروژه محور, روش معیار جامع (LP متریک),

Abstract :

Project-oriented organizations are one of the emerging organizational forms that are formed around projects and teams. These organizations have dynamic boundaries and fields of works, in which the number and size of projects of the organization are constantly changing. In this regard, the managers of these organizations are always faced with the issue of choosing the higher economic justification projects for their organizations, as well as, resource management (including resource leveling and resources allocation) for the selected projects. In this research, a mathematical model of renewable and non-renewable resource management for self-financing project-oriented organizations is presented. This means that financing of the selected projects within the organization is limited to the initial capital and the incomes of the completed projects. In this regard, the project portfolio theory is used to solve the problem of the selection and scheduling of the projects within the project-oriented organization considering the limitation of renewable and non-renewable resources, the existence of a prerequisite relationship between project activities, the time value of capital for financial resources and finally the application of reinvestment strategy. The multi-objective function maximizes the net present value of the investment as well as minimizes the amount of the idle renewable resources. The modeling is a mixed integer programming and after linearization of the model, the LP-metric method is used to solve the multi-objective function, and finally the results are examined on a numerical example.

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