The capital budgeting process involves the analysis and selection of projects committed over long periods of time. These investment decisions are traditionally made by the simultaneous application of various financial techniques using discounted cash flow, such as the Net Present Value (NPV) and Internal Rate of Return (IRR). Despite the long-term and wide dissemination of these techniques, there are major problems of inconsistency especially in mono-criterion functions and mutually exclusive projects. When dealing with financial decisions, it seems illusory to address optimization without taking multiple objectives and attributes into account. The objective of this paper is to present a mathematical model that allows the multi-criteria selection of investment projects submitted to various financial indicators; the mathematical model incorporates a new measure of risk (GAFT). Forty five projects were tested and the results show that the proposed model is a practical and promising decision-making tool.
Investment analysis; Multi-criteria optimization; Integer linear programming
