Research Article
Design and Implementation of Quality Management System for Equipment Manufacturing Enterprises
@INPROCEEDINGS{10.4108/eai.27-10-2023.2341958, author={Huang Shen and Su Ping and Miao Zhuang}, title={Design and Implementation of Quality Management System for Equipment Manufacturing Enterprises}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={manufacturing enterprises; quality management; bom; full life cycle; system design}, doi={10.4108/eai.27-10-2023.2341958} }
- Huang Shen
Su Ping
Miao Zhuang
Year: 2024
Design and Implementation of Quality Management System for Equipment Manufacturing Enterprises
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2341958
Abstract
In the tide of digital transformation, equipment manufacturing enterprises used cloud computing, big data, internet of things and other new generation information technologies to open up the information flow inside the enterprise and upstream and downstream enterprises in the supply chain. As an invisible attribute throughout the whole life cycle of products, quality was an important factor that affecting the combat effectiveness of equipment. Once quality problems occured, the equipment would fail in the battlefield, resulting in inestimable consequences. Due to the quality elements in each stage of equipment development existed in different forms, and the coarse granularity, collection means and measurement means were different, higher requirements were put forward for the tracking, tracing and control of product quality. Based on the quality control requirements and information construction foundation, this paper built a quality management system with product BOM as the core, which improving the traceability and visualization of quality information in the equipment development and production process, and accumulating data basis for intelligent quality analysis and decision-making in the future.