A decision support tool for cross-functional team selection: case study in ACM-ICPC team selection

Abstract

Choosing the most suitable team is always the urgent requirement in many business domains such as sport, project, business... This process involves the considerations of many factors. The traditional approaches are poor process implementation and bias due to lack of effective tools and personal judgments. This leads to difficulty in measuring the effectiveness at the beginning and sometimes the repair efforts are difficult or not feasible. In this article, we present a method for Cross-Functional Team selection. It helps to choose members from several candidates for our ACM-ICPC team. The selected team is proficiently mastered many skills. We proposed a method for decision making that mainly uses a binary optimization model. This model is based on the idea to minimize the distance between the selected point and the bound point, called MDSB. The proposed method is simple and effective to implement. It is not only specific to the ACM-ICPC but also be the generic method for team selection in many other business domains.