Block-based state-expanded network models for multi-activity shift scheduling

DOI10.1007/s10951-023-00789-3zbMATH Open1548.90224MaRDI QIDQ6620465

Michael Römer

Publication date: 16 October 2024

Published in: Journal of Scheduling (Search for Journal in Brave)

zbMATH Keywords

mixed integer linear programmingmulti-activity shift schedulingstate-expanded networks

Mathematics Subject Classification ID

Mixed integer programming (90C11) Linear programming (90C05) Deterministic scheduling theory in operations research (90B35) Deterministic network models in operations research (90B10)

Cites Work

• Unnamed Item
• A \texttt{cost-regular} based hybrid column generation approach
• A large neighbourhood search approach to the multi-activity shift scheduling problem
• An implicit model for multi-activity shift scheduling problems
• A matheuristic based on Lagrangian relaxation for the multi-activity shift scheduling problem
• Learning to reduce state-expanded networks for multi-activity shift scheduling
• Personnel scheduling: a literature review
• Formal languages for integer programming modeling of shift scheduling problems
• Grammar-Based Integer Programming Models for Multiactivity Shift Scheduling
• Constraint Programming Based Column Generation for Employee Timetabling

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