Fuzzy Multi Objective Project Scheduling Under Inflationary Conditions

Project scheduling is a major area of project management and planning. Due to the increasing prices of goods in most countries during the project and lack of information related to each parameters and variables, using fuzzy sets under inflationary condition can be efficient. In this paper, fuzzy project scheduling when project's revenues and costs are increased by different inflationary rate is considered. The duration of each project's activity is assumed as a fuzzy number. Two objectives of the problem are to minimize the project duration and to maximize the net present value of the project. The nonlinear multi-objective model will be solved by one of the multi objective decision making methods named LP-Metric method and Frank-Wolf algorithm as one of the nonlinear programming procedure. The solving approach will be explained in a numerical example and the computational results will be reported.