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Off-day scheduling with hierarchical worker categories.

H Emmons1, R N Burns

  • 1Case Western Reserve University, Cleveland, OH.

Operations Research
|April 9, 1991
PubMed
Summary

This study presents algorithms for optimizing workforce scheduling, ensuring daily staffing needs are met with the most economical mix of worker types. It details scheduling to provide adequate rest and minimize staff while maintaining operational efficiency.

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Area of Science:

  • Operations Research
  • Workforce Management
  • Industrial Engineering

Background:

  • Managing complex workforces with hierarchical skill sets requires efficient scheduling.
  • Meeting daily operational demands with diverse worker types presents logistical challenges.
  • Balancing worker rest requirements with continuous 7-day-a-week operational needs is critical.

Purpose of the Study:

  • To develop formulas for determining the minimum number and optimal mix of workers.
  • To create algorithms for generating feasible work schedules.
  • To ensure worker rest requirements (2 off-days/week, weekend time off) are met without increasing staff.

Main Methods:

  • Formulation of mathematical models for workforce optimization.
  • Development of algorithms for schedule generation.
  • Analysis of worker substitution capabilities across different skill types.
  • Consideration of constraints for off-days and weekend rest.

Main Results:

  • Identified formulas for calculating the smallest and most economical workforce composition.
  • Presented algorithms that generate feasible schedules.
  • Demonstrated scheduling that provides work stretches of 2-5 days.
  • Achieved consecutive weekdays off after 2 consecutive weekends on duty, without additional staff.

Conclusions:

  • The proposed methods provide an efficient approach to managing tiered workforces.
  • Optimal workforce sizing and scheduling can be achieved while respecting worker rest needs.
  • The algorithms offer a practical solution for 7-day-a-week operations with complex staffing requirements.

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