Advanced scheduling optimization for 24/7 shift operations

Purpose and goal:

In this project, scheduling optimization experts and AI engineers are teaming up to address the pressing need of better technical tools to create compliant, resource efficient and safe schedules in the healthcare sector and beyond. We are building an AI-driven scheduling optimization platform, unique and innovative in its design, to meet the staffing challenges of the healthcare sector and other labor-intense sectors with 24/7 shift schedules, using cutting-edge mathematical optimization (a subfield of AI).

Expected results and effects:

In the short term, we expect that the results of this project will help managers and schedule administrators speed up the scheduling process and help them create compliant, resource efficient and safe schedules. In the long term, we expect this project to have contributed to a more sustainable working life in healthcare and other labor-intense sectors with 24/7 shift schedules, leading to reduced sick-leave rates and reduced staff turn-over, as well as less time spent on the scheduling process.

Approach and implementation:

The project plan is divided into 5 work packages, where each work package consists of a backlog with well-defined and well-formulated tasks. 3 of these work packages aim to further develop our platform and 2 aim to further develop our business model. The starting point is to build one functionality at a time, in its entirety, so that we can iteratively test, evaluate and get feedback on the new functionality from users and other stakeholders.