Optimization of Electronic Product Inspection and Defective Product Handling

This paper establishes a decision optimization model to help enterprises make better decisions on the quality and cost management of electronic products in the production and sales process, and improve product efficiency. At the same time, combined with the production practice, the theoretical mathematical model is applied to the actual production process, and the practicability of the model is tested. The mixed integer linear programming model is established, and the effective production decision-making scheme with multiple decision points in each link is given, which can effectively reduce the defective rate in the production process of enterprises. Due to the sequence of processes, it is necessary to analyze from spare parts to semi-finished products to finished products. The decision tree model is used to decompose each decision point, so that the final result can get the optimal decision scheme.

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Publication Details

Journal
Mathematical Modeling and Algorithm Application
Published
2025-08-20
DOI
https://doi.org/10.54097/rb2zr683
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization of Electronic Product Inspection and Defective Product Handling

Dongfang Hu
Mathematical Modeling and Algorithm Application
Manufacturing Process and Optimization
article

Optimization of Electronic Product Inspection and Defective Product Handling

Dongfang Hu
article en

Abstract

This paper establishes a decision optimization model to help enterprises make better decisions on the quality and cost management of electronic products in the production and sales process, and improve product efficiency. At the same time, combined with the production practice, the theoretical mathematical model is applied to the actual production process, and the practicability of the model is tested. The mixed integer linear programming model is established, and the effective production decision-making scheme with multiple decision points in each link is given, which can effectively reduce the defective rate in the production process of enterprises. Due to the sequence of processes, it is necessary to analyze from spare parts to semi-finished products to finished products. The decision tree model is used to decompose each decision point, so that the final result can get the optimal decision scheme.

Mathematical Modeling and Algorithm ApplicationVol. 5(3)
Wuhan College (CN)
Openalex Percentile: Top 67%
Manufacturing Process and Optimization
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