%0 Journal Article
%T Optimization Models for Hybrid Work Scheduling
%A Vardges Melkonian
%J American Journal of Operations Research
%P 147-176
%@ 2160-8849
%D 2023
%I Scientific Research Publishing
%R 10.4236/ajor.2023.136009
%X Remote
and Hybrid work ha</span></span><span><span><span style=\"font-family:&quot;\">s</span></span></span><span><span><span style=\"font-family:&quot;\"> been a common practice for many organizati<span>ons in recent years. It has many advantages such as offering a better
work-life</span> balance but it might also negatively affect productivity and
teamwork. While an organization would like to satisfy</span></span></span><span><span><span style=\"font-family:&quot;\"> the</span></span></span><span><span><span style=\"font-family:&quot;\"> remote/hybrid preferences of its employees, it also must </span></span></span><span><span><span style=\"font-family:&quot;\">en</span></span></span><span><span><span style=\"font-family:&quot;\">sure
that there are enough people working in </span></span></span><span><span><span style=\"font-family:&quot;\">the</span></span></span><span><span><span style=\"font-family:&quot;\"> office t<span>o satisfy certain professional
needs. Finding </span></span></span></span><span><span><span style=\"font-family:&quot;\">the</span></span></span><span><span><span style=\"font-family:&quot;\"> right balance between in-offi</span></span></span><span><span><span style=\"font-family:&quot;\">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 </span></span></span><span><span><span style=\"font-family:&quot;\">the</span></span></span><span><span><span style=\"font-family:&quot;\"> week and flexible hours for those wee<span>kdays
when employees work in </span></span></span></span><span><span><span style=\"font-family:&quot;\">the</span></span></span><span><span><span style=\"font-family:&quot;\"> office. Our computational results show t</span></span></span><span><span><span style=\"font-family:&quot;\">hat the models are very time</span></span></span><span><span><span style=\"font-family:&quot;\">-</span></span></span><span><span><span style=\"font-family:&quot;\">efficient
in practice. The computational results also include a sensitivity analysis </span></span></span><span><span><span style=\"font-family:&quot;\">of</span></span></span><span><span><span style=\"font-family:&quot;\"> the
most comprehensive model.
%K Integer Linear Programming
%K Work Scheduling
%K Remote Work
%K Hybrid Work
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=128928