Integer programming model extensions for a multi-stage nurse rostering problem

DOI10.1007/S10479-017-2623-ZzbMath1434.90063DBLPjournals/anor/MischekM19OpenAlexW2751847328WikidataQ59607663 ScholiaQ59607663MaRDI QIDQ1730747

Nysret Musliu, Florian Mischek

Publication date: 6 March 2019

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6394597

zbMATH Keywords

integer programmingnurse rosteringINRC-II

Mathematics Subject Classification ID

Integer programming (90C10) Deterministic scheduling theory in operations research (90B35) Theory of organizations, manpower planning in operations research (90B70)

Related Items (6)

A flexible mixed integer programming-based system for real-world nurse rostering ⋮ A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem ⋮ A goal programming approach to nurse scheduling with individual preference satisfaction ⋮ Integer programming model extensions for a multi-stage nurse rostering problem ⋮ A hybrid variable neighbourhood search and dynamic programming approach for the nurse rostering problem ⋮ Modelling history in nurse rostering

Uses Software

• irace

Cites Work

• Integer programming techniques for the nurse rostering problem
• A systematic two phase approach for the nurse rostering problem
• The first international nurse rostering competition 2010
• Personnel scheduling: models and complexity
• The nurse rostering problem: a critical appraisal of the problem structure
• A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems
• Staff scheduling and rostering: a review of applications, methods and models.
• The second international nurse rostering competition
• Integer programming model extensions for a multi-stage nurse rostering problem
• Personnel scheduling: a literature review
• The state of the art of nurse rostering
• New approaches to nurse rostering benchmark instances
• Local and global constraint consistency in personnel rostering

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