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2753. Integrated scheduling of work and training activities for a multi-skilled workforce
Invited abstract in session WB-26: Combinatorial Optimization in Scheduling, stream Combinatorial Optimization.
Wednesday, 10:30-12:00Room: 012 (building: 208)
Authors (first author is the speaker)
| 1. | Azin Rashidipour
|
| Economic and Business Administration, Gent University | |
| 2. | Broos Maenhout
|
| Business Informatics and Operations Management, Ghent University | |
| 3. | Matthias Bogaert
|
| Marketing, Innovation and Organization, Ghent University |
Abstract
This research proposes a comprehensive approach to skill-based staff scheduling and training, aiming to optimize workforce efficiency and minimize costs. The focus lies on efficiently assigning skilled workers to shifts within a defined time horizon and scheduling intermediate training sessions increasing the productivity of workers. The training of workers may encompass on-the-job or off-the-job training sessions. Importantly, both staff scheduling and training decisions are made concurrently during this phase, with training costs integrated with other expenses. The proposed algorithm encompasses a meta-heuristic procedure, which is initialised by creating baseline schedules without training, prioritizing task assignments and workforce availability. These initial schedules can be efficiently resolved using exact Mixed Integer Programming mathematical methods in a reasonable computational time. The further optimisation aims to improve the costs via introducing training and is performed via dedicated local search operators and the combination of high-quality schedules following the principles of evolutionary processes.
Keywords
- Scheduling
- Human Resources Management
- Programming, Mixed-Integer
Status: accepted
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