SAMS Subject Classification: 23

Team formation has become an integral part of modern-day organisations and the procedure for selecting appropriate candidates to fulfil specific roles in a team can become complex. This process of cross-functional team selection (CFTS), where members from different departments in an organisation are to be selected to form a team whose members are required to work together to complete a project, is further complicated if team compositional decisions have to be made at multiple points in time over the lifetime of a project. Predicting the timing of performance peaks anticipated for available team candidates over the entire lifetime of the project may therefore prove valuable when composing the initial project team.

A model framework is proposed in this presentation in support of effective CFTS over multiple time periods within the lifetime of the project. The efficacy of the model framework is demonstrated in a case study involving team selection for the popular Fantasy Premier League (FPL) 2020/2021 soccer season, which is based on the well-known English Premier League (EPL). The case study takes the form of a comparison of the weekly cross-functional FPL teams recommended by the framework with the teams actually selected by top-ranked players participating in the 2020/2021 FPL season.