Research on the evaluation of machine tool service performance based on precision retention and reliability
Year: 2025
Type: article
Abstract: The precision retention and reliability of CNC machine tools are critical indicators affecting machining quality and production efficiency. To address the limitations of existing evaluation methods that fail to comprehensively consider expert authority and indicator weights, this paper proposes a performance evaluation system for machine tools in service, integrating the entropy weight method, analytic hierarchy process, and fuzzy comprehensive evaluation. An evaluation model is constructed with two first-level indicators, six second-level indicators, and third-level indicators, incorporating expert authority to adjust weights, and the performance of five domestic machine tools is ranked. The results demonstrate that Machine Tool A exhibits the best overall performance, but domestic machine tools generally have shortcomings in accuracy retention and adaptability, primarily due to insufficient material processes for key components and a lack of dynamic compensation technology. This study provides a quantitative basis for the optimal design and procurement decisions of machine tools.
Authors: Guobin Yan, Qiang Cheng, Yuegang Hu, Guodong Sun
Institutions: Beijing University of Technology, Ya'an Polytechnic College
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid:
OpenAlex ID: W4411014922