Original scientific paper

https://doi.org/10.17559/TV-20250330002532

Research on Optimal Allocation of High-Quality Development of Digital Manufacturing Based on a Priori Improved Algorithm

Hui Yang ; School of Management Engineering, Wanjiang University of Technology, Ma'anshan, 243000, China *
Bo Chen ; Zhengpugang Campus, Wanjiang University of Technology, Ma'anshan, 243000, China

* Corresponding author.

Abstract

In response to the challenges faced by the development of the manufacturing industry, this paper will theoretically examine the influence mechanism of digital investment on the quality improvement of the manufacturing industry, and based on the distribution structure of factors, study the transmission mechanism of digital investment on the quality development of the manufacturing industry. Considering the attributes of digital manufacturing, including a large volume of customer business and complex data, and combined with the reality of the manufacturing industry, an enhanced APRIORI algorithm, called the PAP algorithm, is proposed. This algorithm generates frequent item sets by establishing the minimum support and confidence levels, calculates the association strength of manufacturing services, and determines the optimal execution path of combined services. The level of digital input is evaluated through three dimensions: digital infrastructure, application level and technological innovation. The high-quality development level of the manufacturing industry was evaluated from four dimensions: economic benefits, green development, innovation-driven development and social benefits, and the regional development status of digital input and high-quality development of the manufacturing industry was further analyzed.

Keywords

compose service execution paths; digitization; improved a priori algorithm; manufacturing; optimize the configuration

Hrčak ID:

335081

URI

https://hrcak.srce.hr/335081

Publication date:

30.8.2025.

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