Fully Fuzzy Resource Constrained Project Scheduling

Resource constrained project scheduling (RCPS) problems are the most common problems that project managers in each project might face with. In addition, the dynamic conditions and variations of the real world lead to uncertain data, information and knowledge. In these situations, deterministic models are inefficient, so utilizing these models lead to an increase in the risk of project. Therefore the development of a new method to deal with RCPS problems in context of uncertain data and environment is one of the most necessary needs of project managers. In this paper, RCPS problem is investigated in the fully fuzzy environment. In the proposed model, the duration of each activity, resource availability and demand of each activity on resources are uncertain so a ranking fuzzy numbers method is used to achieve the solution.

کلیدواژه ها:

Resource constrained project scheduling ، Ranking fuzzy numbers ، Fuzzy decision making in fuzzy environment