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Based on multi-stage decision analysis in the production process
- 1 Jiangxi University of Science and Technology
- 2 Jiangxi University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
This paper proposes a multi-stage decision model to address the detection and disassembly of parts, semi-finished products, and finished products in electronic product production. Key decisions in the production process are optimized by implementing small and large sample sampling techniques and a variable decision model with global cost minimization. The methods include probability and accumulation models, normal distribution approximation, and traversal algorithms. The results show that rational decision-making can effectively reduce production costs and improve product quality. For small samples, the probability and accumulation models are established, and the number of samples with a defect rate greater than or less than the nominal value under 95% and 90% reliability is calculated, yielding results of 29 and 22, respectively. For large samples, the sample sizes under different error tolerances are calculated using the normal distribution approximation. Through MATLAB programming, the minimum unit cost and its corresponding decision scheme are determined through traversal-based calculations. The results show that the minimum unit costs in different cases are 30.98, 31.33, 32.35, 30.55, 29.62, and 29.43. Additionally, considering the decision problem involving multiple processes and parts, the problem is decomposed into smaller problems, with the minimum cost sum of each stage representing the global minimum cost. For a case with two processes and eight parts, the minimum unit cost is calculated to be 138. The decision scheme is that no parts or semi-finished products are tested, and the semi-finished products and finished products are disassembled. The research results provide a scientific basis for actual production, and future research can further consider uncertainties and risk factors in real production to achieve more comprehensive optimization.
Keywords
sampling testing scheme, decision scheme, minimum cost, global optimal solution
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Cite this article
Li,J.;Song,X. (2025). Based on multi-stage decision analysis in the production process. Advances in Operation Research and Production Management,3,37-44.
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