Author(s)

Huaqing Li ¹, Rongrunshi Bao ¹, Zihan Li ¹

Affiliation(s)

¹ Westa College, Southwest University, Chongqing, China

Corresponding Author

Huaqing Li

ABSTRACT

This paper proposes a dynamic planning method combining Markov chain model and Bellman equation, focusing on the decision-making optimization choice in the production process of electronic products. Firstly, a binomial distribution model is established to solve the specific sampling and testing scheme, and then based on the state transfer matrix and benefit-cost matrix of Markov chain, the steady state distribution method of Markov chain is utilized to solve the optimal testing strategy and disassembling strategy of the product, and finally, the non-conforming products purchased by the user are exchanged and the returned products are processed, and the optimal strategy is solved by Bayesian updating and Bellman's equation. By planning for various production situations, this method can effectively guide the decision-making of enterprises in different situations in actual production and help them reduce the rate of nonconforming products.

KEYWORDS

Markov Chain, Bellman Equation, Bayesian Updates

CITE THIS PAPER

Huaqing Li, Rongrunshi Bao, Zihan Li, Research on Decision Optimization Model of Electronic Product Manufacturing Process Based on Sampling Inspection. Industrial Engineering and Innovation Management (2025) Vol. 8: 168-174. DOI: http://dx.doi.org/10.23977/ieim.2025.080120.

REFERENCES

[1] Guo J. Research on optimization of production process of electronically controlled automotive electronic products [D]. Chongqing University,2021.DOI:10.27670/d.cnki. gcqdu.2021.004067.
[2] Yang Xu. (2009). Data structure and algorithm optimization for exploratory data analysis system (Master's thesis, Capital Normal University). Master's Degree.
[3] Ye Ling, Jiang Hongkang, Zou Yuqing, et al. Bayesian finite element model correction based on Markov chain population competition [J/OL]. Mechanical Strength, 1-9 [2024-09-08].
[4] Zeng Zhengqiang, Cai Yongchang, Wu Jiangbin. Borehole optimization method based on locally coupled Markov chain model[J/OL]. Journal of Geotechnical Engineering, 1-9[2024-09-08].
[5] Jin Miaorou. (2022). Sensitivity Study of Building Energy Consumption Based on Sequential Sampling (Master's Thesis, Tianjin University of Science and Technology). Master

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics