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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Train maintenance personnel shift scheduling: case study.

Muhammed Abdullah Gençer1, Tamer Eren1, Hacı Mehmet Alakaş1

  • 1Department of Industrial Engineering, Faculty of Engineering and Architecture, Kırıkkale University, 71451 Kirikkale, Turkey.

Flexible Services and Manufacturing Journal
|June 26, 2023
PubMed
Summary
This summary is machine-generated.

This study optimizes Ankara Metro train maintenance schedules by integrating fault prediction with personnel qualifications. The new model ensures fair shift distribution and balanced workloads, improving overall operational efficiency.

Keywords:
Fault predictionGoal programmingPersonnel schedulingRailwayTrain maintenance

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Area of Science:

  • Operations Research
  • Railway Engineering
  • Predictive Maintenance

Background:

  • Ankara Metro faces challenges in scheduling maintenance personnel for its 324 trains, impacting approximately 10 million monthly passengers.
  • Current scheduling does not adequately consider fault prediction or personnel qualifications, leading to potential inefficiencies.

Purpose of the Study:

  • To develop an optimized shift scheduling model for maintenance personnel at the Ankara Metro.
  • To integrate daily personnel needs, qualifications, and fault predictions for improved scheduling.

Main Methods:

  • Analyzed 1721 fault data points over 181 days to evaluate 8 prediction methods.
  • Selected the best-performing prediction method for a 30-day fault forecast.
  • Utilized goal programming to determine daily personnel requirements and classify staff (electronics, electromechanics, mechanics) for balanced shift distribution.

Main Results:

  • The optimized schedule demonstrated equal monthly total working hours distribution.
  • Shifts were distributed more fairly among personnel.
  • A necessary balance was achieved in shifts concerning personnel qualifications.

Conclusions:

  • Integrating fault prediction with personnel qualifications significantly improves railway maintenance personnel scheduling.
  • The goal programming model offers a flexible approach to multi-objective scheduling problems in public transportation maintenance.
  • This study contributes valuable insights to the literature on optimizing railway maintenance operations.