Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems
Abstract
Manufacturing execution systems play an important role of bridging high-level enterprise functions and production or manufacturing operations. The embedded systems are usually in charge of controlling execution of the operations. Modern embedded systems have become capable of simultaneous and deterministic execution of control algorithms and IP-based communication, making it possible to create complex cyber-physical systems (CPSs), where the computational and communication resources of a device can be used directly for various control, supervisory, or monitoring functions. The complexity for defining open-knowledge-driven manufacturing execution system (OKD-MES) is in maintaining awareness of overall system state to avoid disruptive actions as various functions may be requested from a system. The problem is that obtaining such information on system state may necessitate collecting data from a number of devices, as there may not be a single data point for state information. This paper describes and illustrates an approach for designing OKD-MES on top of CPSs that controls robot workstations and conveyor-based transportation system of a pallet-based production system.
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Digital twins integrate multiple dynamic simulations.
“integrating multiple dynamic simulations [28]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [28]
In other reviewed cases, the production system is represented with a Discrete Event System (DES) model.
“in other cases the representation of the production system is done with a Discrete Event System (DES) model [28,37,41,44].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [28]
Cited by
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Review of digital twin applications in manufacturing
Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874 · see citing works
Longo, F., Nicoletti, L., & Padovano, A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.01.001 · Cited by 153 · see citing works
Automatic assembly planning based on digital product descriptions
Sierla, S., Kyrki, V., Aarnio, P., & Vyatkin, V. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.01.013 · Cited by 95 · see citing works
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing
Frontoni, E., Loncarski, J., Pierdicca, R., Bernardini, M., & Sasso, M. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-95282-6_31 · Cited by 42 · see citing works
Role-based visualization of industrial IoT-based systems
Mahmoodpour, M., Lobov, A., Lanz, M., Makela, P., & Rundas, N. (2018) · 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA) · doi:10.1109/mesa.2018.8449183 · Cited by 15 · see citing works
Self-citation
- Authors
- Iarovyi, S., Mohammed, W. M., Lobov, A., Ferrer, B. R., & Lastra, J. L. M.
- Affiliations
- Tampere University of Technology (FI)
- Venue
- Proceedings of the IEEE
- Published
- 2016-05
- Volume
- 104
- Issue
- 5
- Pages
- 1142-1154
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2339460479
- Cited by
- 131
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 8 · 2023: 11 · 2022: 12 · 2021: 15 · 2020: 14 · 2019: 17 · 2018: 28 · 2017: 18 · 2016: 3
- FWCI
- 29.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the IEEE (publishedVersion)
- Tampere University Institutional Repository (Tampere University) (submittedVersion)
- Funders
- ARTEMIS Joint Undertaking (332946)
- Finnish Funding Agency for Technology and Innovation (TEKES)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Keywords
- manufacturing execution system, cyber-physical systems, embedded systems, IP-based communication, supervisory control
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