Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)

Bleukx, Ignace; Boumazouza, Ryma; Guns, Tias; Laage, Nadine; Poveda, Guillaume

doi:10.24963/ijcai.2026/917

Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)

Ignace Bleukx, Ryma Boumazouza, Tias Guns, Nadine Laage, Guillaume Poveda

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Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Sister Conferences Best Papers. Pages 8227-8231.

https://doi.org/10.24963/ijcai.2026/917

Keywords

Constraint Satisfaction and Optimization: Constraint programming
Constraint Satisfaction and Optimization: Modeling
Constraint Satisfaction and Optimization: Applications

Abstract

We present an industrial case on workforce allocation and scheduling in the aircraft manufacturing industry, where available teams need to be assigned to logistical operations. This application presents several challenges, such as the scale of the problem, the need for fair workload distribution, and the need for methods to mitigate unforeseen disruptions due to technical malfunctions or incompatible weather conditions. We compare different Constraint Programming (CP) models for the allocation and scheduling problems, with extra focus on modeling the workload balancing component. Additionally, we investigate automatic rescheduling methods for restoring feasibility after a disruption invalidates the precomputed schedule. Our results show that by using appropriate modeling techniques, the problem can be solved in reasonable time, thereby producing fair schedules. Additionally, we show how invalidated schedules can be restored efficiently to help human operators in resolving disruptions to the schedule.

Ignace Bleukx, Ryma Boumazouza, Tias Guns, Nadine Laage, and Guillaume Poveda. 2026. Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract). In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 8227–8231. https://doi.org/10.24963/ijcai.2026/917

@inproceedings{ijcai2026p917,
  title     = {Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)},
  author    = {Bleukx, Ignace and Boumazouza, Ryma and Guns, Tias and Laage, Nadine and Poveda, Guillaume},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {8227--8231},
  year      = {2026},
  month     = {8},
  note      = {Sister Conferences Best Papers},
  doi       = {10.24963/ijcai.2026/917},
  url       = {https://doi.org/10.24963/ijcai.2026/917},
}

TY  - CPAPER
TI  - Modeling and Explaining an Industrial Workforce Allocation Problem (Extended Abstract)
AU  - Bleukx, Ignace
AU  - Boumazouza, Ryma
AU  - Guns, Tias
AU  - Laage, Nadine
AU  - Poveda, Guillaume
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 8227
EP  - 8231
DO  - 10.24963/ijcai.2026/917
UR  - https://doi.org/10.24963/ijcai.2026/917
ER  -