Configuration Study on Production Equipment Operation Management and Control Performance in Industrial Internet Environment

Keqin Dou, Jun Li (), Jinsong Liu, Qing Li and Yong Zhou
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Keqin Dou: China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China
Jun Li: China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China
Jinsong Liu: China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China
Qing Li: Department of Automation, Tsinghua University, Beijing 100084, China
Yong Zhou: China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China

Sustainability, 2025, vol. 17, issue 21, 1-26

Abstract: In the industrial internet environment, the operation and control of production equipment have become increasingly complex, and their performance directly affects the efficiency, benefits and sustainable development of manufacturing enterprises. From the three-dimensional perspective of “asset-application-maintenance”, this paper constructs a performance analysis framework for the operation and control of production equipment, systematically identifies the combination of core factors affecting performance, and fills the research gap in the current lack of empirical analysis from the configuration perspective in this field. On the basis of data from 82 manufacturing enterprises, the fsQCA method was used to identify three performance improvement paths: the high-load output mode, the lean management and control mode, and the low-failure operation mode. These paths clarify the equivalent approaches to achieve high performance in the operation and control of production equipment under the interaction of multiple factors. On this basis, the study demonstrates the operability and effectiveness of the proposed strategies in actual industrial scenarios through empirical verification in a manufacturing workshop of aero-engine transmission units. In contrast to existing studies, this study introduces the fsQCA method in the field of industrial equipment management and control for the first time to reveal the influencing paths; its originality and methodology have significant innovative significance. The research results provide new ideas and methodological guidance for enterprise managers to improve the performance of production equipment operations and controls in the industrial internet environment, which helps to enhance the sustainable development capability of manufacturing enterprises.

Keywords: industrial internet environment; operation management and control performance of equipment; fsQCA; performance enhancement strategies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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