Cited by 131Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsIndustrial Automation and Control Systems

Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems

Iarovyi, Sergii, Mohammed, Wael M., Lobov, Andrei, Ferrer, Borja Ramis, Lastra, Jose L. Martinez·2016·Proceedings of the IEEE

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.

Integrity signals

Registry

Crossref · 10.1109/jproc.2015.2509498

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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

Sorted by citations

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review