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July 17, 2026Journal of Industrial and Production Engineering

An efficient methodology for solving multi-period shift scheduling problems with shift transition preference optimization

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Authors

GTGulveren Tabansiz-GocTATugce AkyuzFCFatih Cavdur

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Overview

Randomized trial optimizes shift transitions in multi-period scheduling, indicating potential for real-life applications.

Key Points

  • The aim is to develop a mathematical program that ensures consistency in shift scheduling across periods while optimizing transition preferences.
  • Developed a quadratic program transformed into a linear-integer model.
  • Created a simulated annealing-based metaheuristic for larger instances.
  • Tested approaches on real-life problems and experimental ergonomic scenarios.
  • Metaheuristic and hybrid approaches are more effective for large-scale problems.
  • The mathematical program is effective for smaller instances.
  • Simulated annealing approach delivers high-quality solutions quickly for very large cases.

Cite This Study

Tabansiz-Goc et al. (2026) studied this question.

synapsesocial.com/papers/6a59c5e4a58755010b4713f6https://doi.org/10.1080/21681015.2026.2700229
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Mixed-Integer Linear Program to create the shifts in a supermarket2024
  2. 2Multi-neighborhood simulated annealing for the multi-activity multi-day shift scheduling problem2026
  3. 3A Bi-objective shift scheduling problem considering circadian cycle disruptions, fatigue and imbalance workers2026
  4. 4Improving attractiveness of working shifts for train dispatchers2024 · 1 citations
  5. 5A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling2024 · 1 citations