Optimization Models for Hybrid Work Scheduling

Abstract

Remote and Hybrid work ha s been a common practice for many organizati ons in recent years. It has many advantages such as offering a better work-life balance but it might also negatively affect productivity and teamwork. While an organization would like to satisfy the remote/hybrid preferences of its employees, it also must en sure that there are enough people working in the office t o satisfy certain professional needs. Finding the right balance between in-offi ce and remote work is not an easy task. We develop three optimization models to give solutions to the problem. The most comprehensive model allows employees to work remotely some days of the week and flexible hours for those wee kdays when employees work in the office. Our computational results show t hat the models are very time - efficient in practice. The computational results also include a sensitivity analysis of the most comprehensive model.