Reliability assessment in the context of industry 4.0

Data as a game changer

Sanja Lazarova-Molnar*, Nader Mohamed

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

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Resumé

Reliability is the measure of the likelihood that a product, system or service will perform its intended function adequately for a specified period of time. Low reliability of a manufacturing system, besides the costly repairs and replacements, also implies reduced production, and consequently, significantly reduced profits. Therefore, it is very important to have a way to assess reliability, as a key performance metric for manufacturing systems, and cyber-physical systems in general. The newly developed information and communication technologies that are increasingly becoming part of the current and future manufacturing systems, both allow and invite for more sophisticated approaches to assessing reliability of manufacturing systems as opposed to the traditional expert knowledge-based approaches. In this paper, we describe the significance of evaluating reliability for the progress and acceptance of the Industry 4.0 technologies, as well as the new directions and possibilities for enhanced reliability analysis that these new technologies can provide. Finally, we provide an overview of the implications of these novel ways of analyzing reliability in the context of Industry 4.0.

Konference

Konference10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops
LandBelgien
ByLeuven
Periode29/04/201902/05/2019

Fingeraftryk

Industry
Reliability analysis
Profitability
Repair
Communication
Cyber Physical System

Citer dette

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title = "Reliability assessment in the context of industry 4.0: Data as a game changer",
abstract = "Reliability is the measure of the likelihood that a product, system or service will perform its intended function adequately for a specified period of time. Low reliability of a manufacturing system, besides the costly repairs and replacements, also implies reduced production, and consequently, significantly reduced profits. Therefore, it is very important to have a way to assess reliability, as a key performance metric for manufacturing systems, and cyber-physical systems in general. The newly developed information and communication technologies that are increasingly becoming part of the current and future manufacturing systems, both allow and invite for more sophisticated approaches to assessing reliability of manufacturing systems as opposed to the traditional expert knowledge-based approaches. In this paper, we describe the significance of evaluating reliability for the progress and acceptance of the Industry 4.0 technologies, as well as the new directions and possibilities for enhanced reliability analysis that these new technologies can provide. Finally, we provide an overview of the implications of these novel ways of analyzing reliability in the context of Industry 4.0.",
keywords = "Challenges, Data collection, Manufacturing systems, Opportunities, Reliability",
author = "Sanja Lazarova-Molnar and Nader Mohamed",
year = "2019",
doi = "10.1016/j.procs.2019.04.092",
language = "English",
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pages = "691--698",
journal = "Procedia Computer Science",
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Reliability assessment in the context of industry 4.0 : Data as a game changer. / Lazarova-Molnar, Sanja; Mohamed, Nader.

I: Procedia Computer Science, Bind 151, 2019, s. 691-698.

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

TY - GEN

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T2 - Data as a game changer

AU - Lazarova-Molnar, Sanja

AU - Mohamed, Nader

PY - 2019

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N2 - Reliability is the measure of the likelihood that a product, system or service will perform its intended function adequately for a specified period of time. Low reliability of a manufacturing system, besides the costly repairs and replacements, also implies reduced production, and consequently, significantly reduced profits. Therefore, it is very important to have a way to assess reliability, as a key performance metric for manufacturing systems, and cyber-physical systems in general. The newly developed information and communication technologies that are increasingly becoming part of the current and future manufacturing systems, both allow and invite for more sophisticated approaches to assessing reliability of manufacturing systems as opposed to the traditional expert knowledge-based approaches. In this paper, we describe the significance of evaluating reliability for the progress and acceptance of the Industry 4.0 technologies, as well as the new directions and possibilities for enhanced reliability analysis that these new technologies can provide. Finally, we provide an overview of the implications of these novel ways of analyzing reliability in the context of Industry 4.0.

AB - Reliability is the measure of the likelihood that a product, system or service will perform its intended function adequately for a specified period of time. Low reliability of a manufacturing system, besides the costly repairs and replacements, also implies reduced production, and consequently, significantly reduced profits. Therefore, it is very important to have a way to assess reliability, as a key performance metric for manufacturing systems, and cyber-physical systems in general. The newly developed information and communication technologies that are increasingly becoming part of the current and future manufacturing systems, both allow and invite for more sophisticated approaches to assessing reliability of manufacturing systems as opposed to the traditional expert knowledge-based approaches. In this paper, we describe the significance of evaluating reliability for the progress and acceptance of the Industry 4.0 technologies, as well as the new directions and possibilities for enhanced reliability analysis that these new technologies can provide. Finally, we provide an overview of the implications of these novel ways of analyzing reliability in the context of Industry 4.0.

KW - Challenges

KW - Data collection

KW - Manufacturing systems

KW - Opportunities

KW - Reliability

U2 - 10.1016/j.procs.2019.04.092

DO - 10.1016/j.procs.2019.04.092

M3 - Conference article

VL - 151

SP - 691

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JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

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