Author(s)

Tiancheng Lin ¹

Affiliation(s)

¹ Faculty of Economics, Wuhan Institute of Technology, Wuhan, China

Corresponding Author

Tiancheng Lin

ABSTRACT

In this paper, we study the decision-making problem in the production process to maximize the net profit by using the unit net profit optimization model and the discrete snake optimization algorithm. Firstly, a sampling and testing scheme based on Bayesian method is proposed to design the prior distribution, update the posterior distribution and determine the termination conditions to output the minimum number of tests. Secondly, a two-layer optimization model of unit net profit is constructed to comprehensively consider the cost and profit of each link in production. Finally, the discrete snake optimization algorithm is used to solve the model, and the optimal solution is approximated through specific operation steps to obtain the best decision-making scheme and net profit, which provides a reference for production decision-making.

KEYWORDS

Bayesian Approach, Snake Optimization Algorithm, Production Decision Making, Sampling and Testing

CITE THIS PAPER

Tiancheng Lin, Solving Decision Making Problems in Production Processes Based on Bayesian Approach and Snake Optimization Algorithm. Industrial Engineering and Innovation Management (2025) Vol. 8: 1-9. DOI: http://dx.doi.org/10.23977/ieim.2025.080201.

REFERENCES

[1] Li Xiaobo, Sun Xiaohui. Conjugate Bayesian dynamic quality control method under multi-species small-lot production mode[J]. Science and Technology Innovation and Application,2022,12(26):8-13.DOI:10.19981/j.CN23-1581/G3.2022.26.002.
[2] Xiong, F. L., Zhang, T.. Improved snake optimization algorithm for integrated worker assignment and distributed flow production scheduling[J/OL]. Control Engineering,1-14[2025-03-25].
[3] Wang Xiaojie. Optimization algorithm and cost control in garment production[J]. Dyeing and Finishing Technology,2024,46(06):81-83.
[4] Chen W.C.. Data-driven research on real-time order receiving and linked production process control decision-making[D]. Tianjin University,2021.DOI:10.27356/d.cnki.gtjdu.2021.000012. 
[5] Yan Xiangwu, Lu Junda, Jia Jiaoxin, et al. A rotating tidal current controller two-layer planning model for economic and comprehensive carrying capacity improvement of power distribution substations[J/OL]. Journal of Electrotechnology, 1-17[2025-03-25].
[6] Hossein M S ,Farzam K ,Amir Reza T , et al. New bidirectional recurrent neural network optimized by improved Ebola search optimization algorithm for lung cancer diagnosis[J].Biomedical Signal Processing and Control, 2023,84:104965.
[7] Hashim Fatma A, Hussien Abdelazim G. Snake Optimizer: A novel meta-heuristic optimization algorithm[J]. Knowledge-Based Systems,2022,242.

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