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July 2, 2025Highlights in Science Engineering and Technology

A Decision Optimization Framework for Multi-Stage Manufacturing Processes: Integrating 0-1 Integer Programming and Genetic Algorithms

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Authors

YDYiran DingCZChenyu ZhangKWKemeng Wang

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Overview

This framework integrates a 0-1 integer programming model and genetic algorithms, improving resource allocation and efficiency in manufacturing.

Key Points

  • Profits increased by 10%-25% through optimized manufacturing strategies, indicating improved operational efficiency.
  • Significant improvement in resource allocation was achieved using a genetic algorithm combined with integer programming.
  • The approach combines established optimization techniques to address challenges such as quality control and resource constraints.
  • Insights from case studies provide practical guidance for manufacturers, highlighting the connection between theory and real-world applications.

Cite This Study

Ding et al. (2025) studied this question.

synapsesocial.com/papers/68af408ecf1dd9ea359ec239https://doi.org/10.54097/hnsvqr47
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