CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling

📰 ArXiv cs.AI

Learn how to apply CP-WSP, a declarative CP-SAT framework, to solve complex workforce scheduling problems with multiple constraints

advanced Published 7 Jul 2026

Action Steps

Formulate workforce scheduling problems using CP-WSP framework
Model labor regulations and coverage requirements as constraints
Implement mandatory break scheduling with midpoint placement control
Apply acuity weighted workload equity to ensure fair distribution of tasks
Use CP-SAT solvers to find optimal scheduling solutions

Who Needs to Know This

Operations researchers, scheduling engineers, and AI practitioners can benefit from this framework to optimize workforce scheduling in various industries

Key Insight

💡 CP-WSP provides a flexible and scalable framework for solving complex workforce scheduling problems with multiple constraints

Key Takeaways

Learn how to apply CP-WSP, a declarative CP-SAT framework, to solve complex workforce scheduling problems with multiple constraints

Full Article

Title: CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling

Abstract:
arXiv:2607.05177v1 Announce Type: new Abstract: Workforce scheduling is an NP-hard combinatorial optimization problem requiring simultaneous satisfaction of labor regulations, coverage requirements, employee preferences and operational objectives. Existing CP formulations typically model simplified instances with 6-12 constraints at shift-level granularity and critically lack explicit support for: mandatory break scheduling with midpoint placement control; acuity weighted workload equity; sub-sh

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