ForestSoft Set for Mechanical Automation Production Control  Systems Analysis Based on an Intelligent Manufacturing  Environment

Li Song; Jianyong Liu; Han Ding; Wenhui Zhang

Authors

Li Song Jiangxi Vocational College of Industry and Engineering, Pingxiang, Jiangxi, 337000, China
Jianyong Liu Jiangxi Vocational College of Industry and Engineering, Pingxiang, Jiangxi, 337000, China
Han Ding Jiangxi Vocational College of Industry and Engineering, Pingxiang, Jiangxi, 337000, China
Wenhui Zhang Jiangxi Vocational College of Industry and Engineering, Pingxiang, Jiangxi, 337000, China

Keywords:

ForestSoft Set; Mechanical Automation Production; Control Systems; Intelligent Manufacturing Environment.

Abstract

Intelligent manufacturing has become a disruptive force in the global industrial
landscape in the age of Industry 4.0. In mechanical automation, responsive and flexible control
systems are essential as manufacturing lines become increasingly intricate. The purpose of this
research is to assess production control systems for mechanical automation in the context of
intelligent manufacturing settings. The evaluation of system effectiveness, flexibility, data
integration, and real-time responsiveness is prioritized. The study investigates how intelligent
settings affect system performance and decision-making quality by examining important
operational and technological factors. We use the ForestSoft set to split each main criterion into a
TreeSoft set and in each TreeSoft we compute the criteria weights and rank the alternatives. We
use the WPM method as an MCDM to rank alternatives. The results highlight how crucial it is to
include smart infrastructure and advanced analytics into production systems to improve
flexibility and competitiveness in contemporary manufacturing.

DOI: zenodo.15265852