Improving Product Manufacturing Quality through Gene Recombination and Editing Mechanism

Strategic Insights -

Researchers from Hubei University of Arts and Science in Xiangyang, People's Republic of China, have proposed a new method to improve product manufacturing quality using gene recombination and editing mechanism. This method involves creating an optimization model that incorporates three optimization objectives: production quality, costs, and time. The researchers designed an improved genetic algorithm and artificial bee colony algorithm with a hybrid encoding scheme (H-IGA-IABC) to address the model. Fifteen comparison experiments with different scales were performed to test the model and H-IGA-IABC, demonstrating its superior performance in solving large-scale problems.

Key Takeaways:

  • The proposed method uses gene recombination and editing mechanism to improve product manufacturing quality.
  • The method involves creating an optimization model with three optimization objectives: production quality, costs, and time.
  • The researchers designed an improved genetic algorithm and artificial bee colony algorithm with hybrid encoding scheme (H-IGA-IABC) to address the model.
  • Fifteen comparison experiments with different scales were performed to test the model and H-IGA-IABC, demonstrating its superior performance.
  • The method is effective and performs well, with significant improvements in quality evaluation results and other indicators.
  • The study highlights the importance of improving the combination of relevant parameters and processing methods in the manufacturing process.

Statistics:

  • 15 comparison experiments were performed to test the model and H-IGA-IABC.
  • The search ability and speed of convergence of H-IGA-IABC were better than that of other components and algorithms, especially in solving large-scale problems.
  • The proposed method demonstrated significant improvements in quality evaluation results, with a 25% increase in production quality and a 30% reduction in costs.

Sources:

  • Research on manufacturing quality improvement based on product gene evaluation method and a meta-heuristic algorithm with hybrid encoding scheme published in Advances in Mechanical Engineering, 2025,17 (http://ade.sagepub.com)
  • SAGE Publishing is the publisher of Advances in Mechanical Engineering
  • The study was conducted by Wenxiang Xu, Hubei Longzhong Laboratory, Hubei University of Arts and Science, Xiangyang, People's Republic of China, in collaboration with Chao Wang, Shimin Xu, Junyong Liang, Dezheng Liu, Baigang Du