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Related Experiment Videos

Optimizing staff scheduling by Monte-Carlo simulation.

D Scipione1, V Zavadsky, X Dong

  • 1Acme Express Inc, Cleveland, OH.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1992
PubMed
Summary
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This study introduces DOCS, a staff scheduling program using an accounting framework and Monte-Carlo simulation. It optimizes schedules by prioritizing staff with the highest account balances for assignment.

Area of Science:

  • Computer Science
  • Operations Research

Background:

  • Effective staff scheduling is crucial for operational efficiency.
  • Balancing financial accounts within a schedule presents unique challenges.

Purpose of the Study:

  • To develop an automated system for generating optimized staff schedules.
  • To integrate an accounting framework with optimization techniques for balanced scheduling.

Main Methods:

  • Development of the DOCS (Dynamic Optimized Crew Scheduling) computer program.
  • Implementation of a Monte-Carlo simulation for schedule generation.
  • Biasing the shuffling process based on individual staff account balances.

Main Results:

  • DOCS successfully generates staff schedules.

Related Experiment Videos

  • The program balances accounts simultaneously within the generated schedule.
  • Scheduling is biased towards staff with higher outstanding account balances.

    • Conclusions:

    • The DOCS program offers a novel approach to staff scheduling.
    • Integrating accounting principles with optimization techniques can achieve balanced schedules.
    • The Monte-Carlo method provides an effective search mechanism for complex scheduling problems.