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This is a Quantitative Study study.

November 4, 2025Open Access

A Hybrid Genetic Algorithm for Minimizing Weighted Tardiness in a Hybrid Flow Shop: A Case Study in the Electronics Industry

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This analysis demonstrates a heuristic method improves supply chain resilience in manufacturing, reducing total weighted tardiness significantly.

The Hybrid Genetic Algorithm achieves a 40.3% reduction in total weighted tardiness in manufacturing settings.
Heuristic integration enhances scheduling efficiency while managing complex production constraints effectively.
Assessment involves parameter tuning through Taguchi design and performance evaluation using Analysis of Variance.
Results indicate the algorithm's robustness and potential applications in diverse manufacturing environments.

Mendes et al. (2025) studied this question.

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This analysis demonstrates a heuristic method improves supply chain resilience in manufacturing, reducing total weighted tardiness significantly.