Author(s)

BingShuo Qian^*, LinXuan Da, ZhongYan Yang

Affiliation(s)

Chang'an University, School of Energy and Electrical Engineering, Xi'an 71006, Shaanxi, China.

Corresponding Author

BingShuo Qian

ABSTRACT

In the enterprise's production activities, the enterprise's production efficiency is the key to whether the enterprise to obtain the maximum benefit, efficient production efficiency is the enterprise to the good development of the top priority, on this basis, due to the enterprise's decision-making directly affects the efficiency of the enterprise's organization and management, whether to make the optimal decision can be a direct impact on the enterprise's production efficiency.Therefore, this paper proposes the basic model of enterprise optimization production process based on decision tree model algorithm. Firstly, the model is established through the establishment of hypothesis testing and the method of cost-profit; secondly, combined with the principle of multi-recursive optimization algorithm and the overall optimal solution of which any step is optimal, it is applied to the construction of the model of decision-making problem in the enterprise's production process, and the basic sampling method is proposed, and the validity is determined through the method of proposing a specific sampling scenario; lastly, some basic conditions are assumed, and using the established Decision Tree Model algorithm to give the corresponding sampling scheme, by comparing the cost required to make the decision, the results can be derived as a result of the optimal solution in a specific scenario can be depicted by Fig. 5; in the specific conditions of the enterprise decision-making results in the optimal decision-making scheme for the inspection of spare parts 1, spare parts 2, spare parts 3, and semifinished products 1 but the semifinished products 1 is not disassembled; for spare parts 4, spare parts 5, Spare part 6 and semi-finished product 2 are tested but semi-finished product 2 is not disassembled; Spare part 7 and spare part 8 are tested and semi-finished product 3 is not tested and disassembled; only finished products are tested and unqualified finished products are not disassembled, and finished products that are returned from customers are not disassembled.The advantage of the decision tree model is that it does not require data preprocessing, it can directly deal with numerical and categorical features, reducing the complexity of data preprocessing and at the same time has a very strong adaptability, able to deal with complex nonlinear relationships, and can to a large extent to capture the complex patterns in the data. Most of the traditional enterprises in the decision-making process there are many problems, this paper will be the decision tree model used in the production of enterprise decision-making, can be more accurate, fast and efficient for the enterprise to make the right decision, can improve the accuracy of the enterprise decision-making, especially in dealing with the small amount of data in the problem. Decision tree is a very intuitive model, extensive in-depth study of the decision tree model can help to improve the efficiency of decision-making and prediction accuracy in the fields of finance, health care, marketing and manufacturing, etc., and at the same time, it can optimize the decision-making algorithms, improve the performance of the algorithms to promote the explanatory and transparency of the algorithms.

KEYWORDS

Decision tree model; Local optimization; Hypothesis testing; Sampling test

CITE THIS PAPER

BingShuo Qian, LinXuan Da, ZhongYan Yang. Optimizing the decision-making of enterprises in the production process based on decision tree models. World Journal of Management Science. 2025, 3(2): 7-16. DOI: https://doi.org/10.61784/wms3063.

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