Research on workshop self-inspection task scheduling based on bi-level genetic algorithm

This article is based on the rolling time domain optimization strategy, with the objective of achieving the best comprehensive result by minimizing the shortest time and maximizing the total priority of scheduling tasks. It designs a scheduling optimization strategy for situations where production equipment failures occur. The bi-level genetic algorithm is used to solve the production scheduling problem in the workshop. Finally, through simulation on instances of the production workshop, it verifies that this scheduling strategy can effectively solve the dynamic scheduling problem in the workshop.

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Publication Details

Published
2024-08-05
DOI
https://doi.org/10.1117/12.3039272
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Research on workshop self-inspection task scheduling based on bi-level genetic algorithm

Xiaoning Yu, Hongyu Guo, Songjiang Peng
Manufacturing Process and Optimization
article

Research on workshop self-inspection task scheduling based on bi-level genetic algorithm

Xiaoning Yu, Hongyu Guo, Songjiang Peng
article en

Abstract

This article is based on the rolling time domain optimization strategy, with the objective of achieving the best comprehensive result by minimizing the shortest time and maximizing the total priority of scheduling tasks. It designs a scheduling optimization strategy for situations where production equipment failures occur. The bi-level genetic algorithm is used to solve the production scheduling problem in the workshop. Finally, through simulation on instances of the production workshop, it verifies that this scheduling strategy can effectively solve the dynamic scheduling problem in the workshop.

Zhengzhou Institute of Machinery (CN)
Openalex Percentile: Top 83%
Manufacturing Process and Optimization
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