A Study of Decision-Making Problems in the Production Process of Electronic Products Based on Cost and Product Quality

Zhichen He; Baoming Yang; Yanzhi Li

doi:10.54097/ssz7gv79

Authors

Zhichen He
Baoming Yang
Yanzhi Li

DOI:

https://doi.org/10.54097/ssz7gv79

Keywords:

0-1 Planning, Genetic Algorithm, NSGA-II, Dynamic Programming, Sampling.

Abstract

An enterprise’s market competitiveness is largely determined by the quality of its products and the costs incurred during their production, both of which are significantly influenced by the manufacturing process. Consequently, investigating decision-making issues related to this process is essential for effective business management. This study constructs various models to address decision-making challenges encountered by firms during the production process of electronic products. Specifically, it formulates production decision problems as "do" and "don't" 0-1 planning issues and develops an optimization model based on genetic algorithms and NSGA-II. Additionally, a dynamic planning model incorporating sampling is proposed to eliminate other unnecessary expenditures. The results indicate that the proposed model provides a range of feasible solutions and effective cost management strategies for the simulated production environment. Future research should consider real-world decision-making contexts to enhance practical decision-making tools that optimize production costs and product quality.

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