TITLE:
Optimization Models for Hybrid Work Scheduling
AUTHORS:
Vardges Melkonian
KEYWORDS:
Integer Linear Programming, Work Scheduling, Remote Work, Hybrid Work
JOURNAL NAME:
American Journal of Operations Research,
Vol.13 No.6,
November
8,
2023
ABSTRACT: Remote
and Hybrid work has been a common practice for many organizations 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 ensure
that there are enough people working in the office to satisfy certain professional
needs. Finding the right balance between in-office 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 weekdays
when employees work in the office. Our computational results show that the models are very time-efficient
in practice. The computational results also include a sensitivity analysis of the
most comprehensive model.