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Multi-flexible integrated scheduling algorithm for multi-flexible integrated scheduling problem with setup times.

Dan Yang1, Zhiqiang Xie1, Chunting Zhang1

  • 1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150000, China.

Mathematical Biosciences and Engineering : MBE
|June 16, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm to solve complex scheduling problems with setup times. The algorithm optimizes machine assignment and operation scheduling, improving efficiency and reducing idle time.

Keywords:
flexible manufacturingflexible planning pathflexible sequential operationsmulti-flexible integrated schedulingsetup times

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Area of Science:

  • Operations Research
  • Industrial Engineering
  • Manufacturing Systems

Background:

  • Integrated scheduling problems with setup times present significant challenges in optimizing manufacturing processes.
  • Existing algorithms often struggle to efficiently manage flexible operations and machine idle times.

Purpose of the Study:

  • To develop and validate a novel algorithm for the multi-flexible integrated scheduling problem with setup times.
  • To enhance scheduling efficiency by minimizing machine idle time and maximizing parallel processing.

Main Methods:

  • Proposed a multi-flexible integrated scheduling algorithm incorporating four key strategies.
  • Operation optimization allocation strategy based on the longest subsequent path principle.
  • Parallel optimization and flexible operation determination strategies for dynamic scheduling.
  • Potential operation preemptive strategy to manage concurrent operations.

Main Results:

  • The developed algorithm effectively addresses the multi-flexible integrated scheduling problem with setup times.
  • Demonstrated improved scheduling efficiency and reduced machine idle times compared to existing methods.
  • Successfully handled flexible operations and potential preemptions.

Conclusions:

  • The proposed algorithm offers a robust solution for complex integrated scheduling scenarios.
  • It provides a valuable tool for improving manufacturing throughput and resource utilization.
  • The algorithm's effectiveness extends to flexible integrated scheduling problems without setup times.