In authors or contributors

Key Issues for Digital Factory Designing and Planning: A Survey

Resource type
Authors/contributors
Title
Key Issues for Digital Factory Designing and Planning: A Survey
Abstract
Digital Factory (DF) planning is the key of intelligent factory construction, where intelligent production technologies of big data analysis, cloud computing, blockchain, Internet of Things, artificial intelligence, 5G, Time Sensitive Network (TSN), Digital Twin (DT), additive manufacturing are included. By applying the modern techniques, DF performs great advantages on the aspects of product lifecycle management, enterprise resource planning, operation management, supply chain management, real-time database construction, advanced process control, as well as the new technologies of distributed control system and fieldbus control system. This article delivers a review of key issues of DF top-level design and planning from the aspects of networking, precision, automation and digitalization. Solutions are explored based on 5G, TSN and DT advanced technologies, literately and practically. Additionally, the article describes the method and application of efficient big data comprehensive solution. Therefore, this study contributes valuable decision-making support for DF applications.
Book Title
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Series
Studies in Computational Intelligence
Place
Cham
Publisher
Springer International Publishing
Date
2022
Pages
18-29
Language
en
ISBN
978-3-030-92317-4
Short Title
Key Issues for Digital Factory Designing and Planning
Accessed
4/11/23, 1:44 PM
Library Catalog
Springer Link
Citation
Wang, H., Du, W., & Li, S. (2022). Key Issues for Digital Factory Designing and Planning: A Survey. In R. Lee (Ed.), Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 18–29). Springer International Publishing. https://doi.org/10.1007/978-3-030-92317-4_2