Academic Journal of Computing & Information Science, 2024, 7(12); doi: 10.25236/AJCIS.2024.071215.
Yuxuan Wang, Yunzhe Zhang, Yuyan Lin
Faculty of Computer Science, Hangzhou Dianzi University Information Engineering College, Hangzhou, China
In this paper, for the cost control problem in the production process of electronic products, we study the inspection cost of accessory products, product production cost and so on. First, we calculated the rejection domain and acceptance domain of hypothesis testing based on binomial distribution and central limit theorem, so as to obtain the true defective rate and the minimum number of inspections. Subsequently, we established a production cost optimization model based on the simulated annealing algorithm, and calculated the production cost under various strategies for common production situations, and finally obtained the best decision scheme with the lowest total cost. The results show that our model can effectively reduce the production cost while significantly improving the decision-making efficiency.
Hypothesis Testing, Simulated Annealing Algorithm, Central Limit Theorem, Production Cost Optimization
Yuxuan Wang, Yunzhe Zhang, Yuyan Lin. Production Cost Optimization Model Based on Normal Distribution and Simulated Annealing Algorithm. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 12: 104-110. https://doi.org/10.25236/AJCIS.2024.071215.
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