We focus on research projects in the fields of:
Index funds aim to track the performance of a financial index such as the Standard & Poor’s 500. Investors of an index fund demand a high tracking accuracy. We consider the problem of optimally rebalancing the composition of an index fund’s portfolio while keeping transaction costs low. Our proposed model achieves a considerably higher tracking accuracy than state-of-the-art formulations.
Read our EJOR-paper to learn more.
Companies use assessment centers to select candidates for open job positions. The assessment center planning problem consists of (1) determining start times for all tasks and lunch breaks for each candidate and (2) assigning assessors to tasks such that their waiting time is minimized. We propose a heuristic that generates optimal or near-optimal schedules within a relatively short computational time.
Read our JoS-paper to learn more.
Assigning employees to work shifts is a challenging task. Constraints imposed by works laws, management policies, and softer factors such as employees' preferences must be addressed satisfactorily. We tackle this problem by developing a novel matheuristic for large-scale instances and show that it outperforms commercial employee scheduling software.
