Construction Plan for Digital Cockpit of Quality Management
- DOI
- 10.2991/978-94-6463-504-1_30How to use a DOI?
- Keywords
- Quality management platform; cockpit quality; business data; quality performance indicators; data access; data analysis; data presentation
- Abstract
Quality management digital cockpit is a platform for display and operational analysis of quality data based on design, procurement, construction, commissioning and other businesses. The quality cockpit enables access, analysis, presentation, and the use of quality performance indicators and related quality business data. The quality cockpit can display the quality data concerned by the management in an intuitive way, and can drill down into multiple projects, multiple dimensions, different indicators, and different levels to improve the effectiveness, utilization, and standardization of quality data. And through intelligent analysis, it can predict and warn of possible quality problems in time. Realize the intelligent transformation of quality data from monitoring, early warning to prediction, and promote the high-quality development of the company.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ting Bai AU - Xingguo Lu AU - Shuai Liu AU - Zhe LV PY - 2024 DA - 2024/08/31 TI - Construction Plan for Digital Cockpit of Quality Management BT - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024) PB - Atlantis Press SP - 310 EP - 319 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-504-1_30 DO - 10.2991/978-94-6463-504-1_30 ID - Bai2024 ER -