Next Article in Journal
Tailor-Made Hand Exoskeletons at the University of Florence: From Kinematics to Mechatronic Design
Previous Article in Journal
Modelling of Temperature Field and Stress–Strain State of the Workpiece with Plasma Coatings during Surface Grinding
Previous Article in Special Issue
Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research
Open AccessReview

Interoperability in Smart Manufacturing: Research Challenges

Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
Machines 2019, 7(2), 21; https://doi.org/10.3390/machines7020021
Received: 11 February 2019 / Revised: 5 March 2019 / Accepted: 15 March 2019 / Published: 2 April 2019
(This article belongs to the Special Issue Smart Manufacturing, Digital Supply Chains and Industry 4.0)
Recent advances in manufacturing technology, such as cyber–physical systems, industrial Internet, AI (Artificial Intelligence), and machine learning have driven the evolution of manufacturing architectures into integrated networks of automation devices, services, and enterprises. One of the resulting challenges of this evolution is the increased need for interoperability at different levels of the manufacturing ecosystem. The scope ranges from shop–floor software, devices, and control systems to Internet-based cloud-platforms, providing various services on-demand. Successful implementation of interoperability in smart manufacturing would, thus, result in effective communication and error-prone data-exchange between machines, sensors, actuators, users, systems, and platforms. A significant challenge to this is the architecture and the platforms that are used by machines and software packages. A better understanding of the subject can be achieved by studying industry-specific communication protocols and their respective logical semantics. A review of research conducted in this area is provided in this article to gain perspective on the various dimensions and types of interoperability. This article provides a multi-faceted approach to the research area of interoperability by reviewing key concepts and existing research efforts in the domain, as well as by discussing challenges and solutions. View Full-Text
Keywords: Industry 4.0; smart manufacturing; cyber–physical systems; Internet of things; interoperability Industry 4.0; smart manufacturing; cyber–physical systems; Internet of things; interoperability
Show Figures

Figure 1

MDPI and ACS Style

Zeid, A.; Sundaram, S.; Moghaddam, M.; Kamarthi, S.; Marion, T. Interoperability in Smart Manufacturing: Research Challenges. Machines 2019, 7, 21.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop