Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0

  title={Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0},
  author={Lidong Wang and Guanghui Wang},
  journal={International Journal of Engineering and Manufacturing},
  • Lidong Wang, G. Wang
  • Published 8 July 2016
  • Engineering
  • International Journal of Engineering and Manufacturing
A cyber physical system (CPS) is a complex system that integrates computation, communication, and physical processes. Digital manufacturing is a method of using computers and related technologies to control an entire production process. Industry 4.0 can make manufacturing more efficient, flexible, and sustainable through communication and intelligence; therefore, it can increase the competitiveness. Key technologies such as the Internet of Things, cloud computing, machine-to-machine (M2M… Expand

Tables from this paper

Cyber-Physical Production Systems for Industrial Shop-Floor Integration Based on AMQP
This study deals with the implementation of CPPS using low-cost devices in a simulated factory to control the industrial process and integrate shop-floor communications using the AMQP (Advanced Message Queuing Protocol) protocol. Expand
A Review of Cyber-Physical System Research Relevant to the Emerging IT Trends: Industry 4.0, IoT, Big Data, and Cloud Computing
Recently, there has been an explosive growth in the development and implementation of various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and advancements in CPS technologies haveExpand
Smart manufacturing systems: state of the art and future trends
An autonomous SMSs model driven by dynamic demand and key performance indicators is proposed and the reference can be provided for the transformation of more manufacturing enterprises from the traditional to the intellectualized ones. Expand
A framework to handle big data for cyber-physical systems
A framework to handle big data for cyber-physical systems is proposed that considered the possible solutions that would be standardization, cloud computing, online and data stream learning, a methodology to process data and multi-agent systems for CPS. Expand
Cyber-Physical Systems as Enablers in Manufacturing Communication and Worker Support
The increasing potential of Information and Communications Technology (ICT) drives higher degrees of digitisation in the manufacturing industry. Such catchphrases as “Industry 4.0” and “smartExpand
Big data as a promoter of industry 4.0: Lessons of the semiconductor industry
This paper provides an overview of the history, technologies and concepts of Industry 4.0 using the manufacturing process of an electronics manufacturer as an example and offers implementation recommendations for Industry 5.0 in other manufacturing domains. Expand
The Strategic Role of MES Systems in the Context of Industry 4.0
Since the early 1990s, Manufacturing Execution Systems (MES) have been playing a pivotal role in managing production activities and integrating business from the top floor to the shop floor, reducingExpand
Development of Smart Semiconductor Manufacturing: Operations Research and Data Science Perspectives
The success story of smart manufacturing in semiconductor industry is reviewed with the focus on data-enabled decision making and optimization applications based on operations research and data science perspective and future research directions and new challenges are discussed. Expand
Development of IoT—enabled data analytics enhance decision support system for lean manufacturing process improvement
This research presents a novel and scalable approach called “Smart Manufacturing 2020”, which aims at automating and automating the entire value chain of a company, from conception to production. Expand
Optimized Additive Manufacturing Technology Using Digital Twins and Cyber Physical Systems
The proposed digital twin model of the 3D printer shows a framework for developing a machine learning module to reduce and replace the standard defects and reducing the data transmission and data overload in wireless networks. Expand


Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation
Abstract With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facingExpand
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Abstract Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closelyExpand
Industry 4.0 is a combination of many elements, including distributed intelligence, network security, massive data, cloud computing, and analytics, among other things. Such elements are critical toExpand
Industrie 4.0 - Advanced Engineering of Smart Products and Smart Production
Industrie 4.0 is a strategic approach for integrating advanced control systems with internet technology enabling communication between people, products and complex systems. The key approach is toExpand
A Cyber Physical Interface for Automation Systems—Methodology and Examples
Cyber physical systems (CPS) in a manufacturing and automation context can be referred to different manufacturing process, including design, simulation, control, and verification. However, for dataExpand
Design and Governance of Collaborative Business Processes in Industry 4.0
The ongoing adoption of cyber-physical systems and the Internet of Things (IoT) is accompa nied by incredible business process improvements fueled by ground-breaking innovations. Industry 4.0 withExpand
Recent advances and trends in predictive manufacturing systems in big data environment
The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation – predictive manufacturing. In order to becomeExpand
New Benchmarking Methodology and Programming Model for Big Data Processing
This paper presents one possible solution for the coming exascale big data processing: a data flow computing concept, which integrates the performance issues of speed, area, and power needed to execute the task. Expand
An Approach for a Cloud-based Machine Tool Control
Abstract Versatility and scalability are the major factors for meeting the requirements of a flexible production of the 21st century. A versatile production can only be realized if the machineExpand
Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces
The Streaming Spark project aims at providing an interface that abstracts out all the technical details of the computation platform (cloud, HPC, workstation, etc.) and is suitable for imple- menting and calibrating non-trivial algorithms on a large cluster, and provides an intuitive yet powerful programming interface. Expand