Optimization of Product Inspection and Disassembly Strategies Based on Cost-Benefit Analysis

Ruiling Liu; Song Su; Zhejun Liang

doi:10.54097/zzkh2910

Authors

Ruiling Liu
Song Su
Zhejun Liang

DOI:

https://doi.org/10.54097/zzkh2910

Keywords:

Hypothesis Testing, Multivariate Decision Models, Optimization Models, Center Limit Theorem, Normal Distribution

Abstract

In modern manufacturing, enterprises must develop optimal strategies by balancing product quality and cost management to maintain competitiveness and sustainable development in fierce market competition. This paper builds an optimal model for defect rate sampling inspection based on the central limit theorem and using the normal distribution to approximately fit the binomial distribution, as well as an optimization model for production inspection and disassembly decision-making based on hypothesis test theory and multi-standard decision analysis.With the help of the above two models, the enterprise obtained the optimal sample sizes for sampling and inspection in two situations: 180 and 126 pieces, respectively. The optimal production inspection and dismantling plans were analyzed for six cases with reasonable settings. The maximum expected profit per product for each case was 20.58 yuan/piece; 16.26 yuan/piece; 18.88 yuan/piece; 14.97 yuan/piece; 21.66 yuan/piece; 21.92 yuan/piece. According to the sample testing and disassembly plan obtained, enterprises can make better production plans to reduce production costs and get more profits.

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