LAUSR

The objective of this study is to propose a new optimization model for the formation of a reliable team of experts, who have a certain number of skills and best collaboration with each other. The proposed mathematical model maximized team reliability by considering the probability of unreliable experts that may leave the team with the probability (1-Q) and proposed a backup for each unreliable member. In this paper, a new model was developed for simultaneously forming a team with three key factors: 1) expert's skills; 2) expert's collaboration network; and 3) expert's reliability. This model was evaluated by two numerical studies on both artificial and real-life datasets with small and big data. The optimum combination of team members with regard to skills, collaboration network, and reliability will help managers in performing their projects or operations. Therefore, the new optimization model, called the reliable team formation problem, proposed team members in two sets consisting of main and backup members.