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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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A fast-flexible strategy based approach to solving employee scheduling problem considering soft work time.

Kangxin Ma1,2, Changchun Yang1, Haojie Xu3

  • 1School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, 213164, China.

Scientific Reports
|March 15, 2024
PubMed
Summary

This study introduces a fast-flexible strategy (FFS) for employee scheduling, addressing limitations of fixed work times. FFS utilizes soft work times and flextime to improve efficiency and reduce over/understaffing.

Keywords:
Employee schedulingPairwise-allocated strategyProficiency average matrixSoft work time

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Area of Science:

  • Operations Research
  • Computer Science

Background:

  • Employee scheduling is crucial for managing workload and constraints.
  • Existing algorithms often use fixed work times, leading to inefficiencies like overstaffing and understaffing.
  • Addressing these limitations is essential for optimizing workforce management.

Purpose of the Study:

  • To propose a novel approach for employee scheduling that overcomes the drawbacks of fixed work times.
  • To introduce a fast-flexible strategy (FFS) that incorporates adjustable work hours.
  • To enhance the efficiency and effectiveness of employee scheduling solutions.

Main Methods:

  • Developed a fast-flexible strategy (FFS) incorporating the concept of soft work time.
  • Implemented a flextime strategy to dynamically determine employee work schedules.
  • Utilized a pairwise-allocated strategy and a proficiency average matrix to optimize the process.

Main Results:

  • FFS demonstrated superior effectiveness and efficiency compared to existing baseline methods.
  • The approach successfully addresses overstaffing and understaffing issues.
  • Experimental evaluations confirmed the advantages of the proposed soft work time model.

Conclusions:

  • The proposed fast-flexible strategy (FFS) offers a significant improvement for employee scheduling problems.
  • Incorporating soft work times and flextime enhances operational efficiency.
  • FFS provides a robust and adaptable solution for dynamic workforce management.