Smart Maintenance Lifecycle Management: A Design Proposal

Jan Zenisek; Letizia Nicoletti; Francesco Longo; Gabriele Traugott; Antonio Padovano; Michael Affenzeller

Smart Maintenance Lifecycle Management: A Design Proposal

Jan Zenisek, Letizia Nicoletti, Francesco Longo, Gabriele Traugott, Antonio Padovano, Michael Affenzeller

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

2 Zitate (Scopus)

Abstract

Given the latest trends toward the implementation of Industry 4.0 principles, the proposed research work combines human assistance technologies such as Virtual and Augmented Reality with advanced data analysis techniques and tools to develop a comprehensive strategy for Predictive Maintenance planning and execution. On one hand, using Augmented and Virtual Reality technologies, workers are effectively assisted during maintenance operations towards better performances and lower error rates. On the other hand, Predictive Maintenance entails strategies for maintenance planning based on machines’ current conditions to avoid unnecessary overhauls. Thus a seamless integration of Virtual and Augmented Reality with Predictive Maintenance is envisaged to bring substantial advantages in terms of productivity and competitiveness enhancement for manufacturing systems and represents a step ahead toward the real implementation of the Industry 4.0 vision.

Originalsprache	Englisch
Titel	29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
Redakteure/-innen	Francesco Longo, Michael Affenzeller, Miquel Angel Piera, Agostino G. Bruzzone, Emilio Jimenez
Seiten	546-551
Seitenumfang	6
ISBN (elektronisch)	9781510847651
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	The 29th European Modeling & Simulation Symposium EMSS 2017 - Barcelona, Spanien Dauer: 18 Sep. 2017 → 20 Sep. 2017 http://www.msc-les.org/conf/emss2017/

Publikationsreihe

Name	29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

Konferenz

Konferenz	The 29th European Modeling & Simulation Symposium EMSS 2017
Land/Gebiet	Spanien
Ort	Barcelona
Zeitraum	18.09.2017 → 20.09.2017
Internetadresse	http://www.msc-les.org/conf/emss2017/

Schlagwörter

Industry 4.0
Virtual / Augmented Reality
Data Stream Analysis
Predictive Maintenance
Symbolic Regression

Andere Dateien und Links

Link to publication in Scopus

Zitieren

Zenisek, J., Nicoletti, L., Longo, F., Traugott, G., Padovano, A., & Affenzeller, M. (2017). Smart Maintenance Lifecycle Management: A Design Proposal. in F. Longo, M. Affenzeller, M. A. Piera, A. G. Bruzzone, & E. Jimenez (Hrsg.), 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 (S. 546-551). (29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

Zenisek, Jan ; Nicoletti, Letizia ; Longo, Francesco et al. / Smart Maintenance Lifecycle Management: A Design Proposal. 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. Hrsg. / Francesco Longo ; Michael Affenzeller ; Miquel Angel Piera ; Agostino G. Bruzzone ; Emilio Jimenez. 2017. S. 546-551 (29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

@inproceedings{982afe981b3e433bbbf3ae804332acd5,

title = "Smart Maintenance Lifecycle Management: A Design Proposal",

abstract = "Given the latest trends toward the implementation of Industry 4.0 principles, the proposed research work combines human assistance technologies such as Virtual and Augmented Reality with advanced data analysis techniques and tools to develop a comprehensive strategy for Predictive Maintenance planning and execution. On one hand, using Augmented and Virtual Reality technologies, workers are effectively assisted during maintenance operations towards better performances and lower error rates. On the other hand, Predictive Maintenance entails strategies for maintenance planning based on machines{\textquoteright} current conditions to avoid unnecessary overhauls. Thus a seamless integration of Virtual and Augmented Reality with Predictive Maintenance is envisaged to bring substantial advantages in terms of productivity and competitiveness enhancement for manufacturing systems and represents a step ahead toward the real implementation of the Industry 4.0 vision.",

keywords = "Industry 4.0, Virtual / Augmented Reality, Data Stream Analysis, Predictive Maintenance, Symbolic Regression, Industry 4.0, Virtual / Augmented Reality, Data Stream Analysis, Predictive Maintenance, Symbolic Regression",

author = "Jan Zenisek and Letizia Nicoletti and Francesco Longo and Gabriele Traugott and Antonio Padovano and Michael Affenzeller",

note = "Funding Information: The work described in this paper was done within the projects: “Smart Factory Lab” which is funded by the European Fund for Regional Development (EFRE) and the state of Upper Austria as part of the program “Investing in Growth and Jobs 2014-2020”. Funding Information: “SG-ICT: Serious Game at Increased impact on Culture and Tourism” funded by Ministry of Education, Universities and Research (MIUR) under the StartUP program. Funding Information: “SISOM” funded by the Italian National Institute for Insurance against Accidents at Work (INAIL) under the BRIC 2015 program.; The 29th European Modeling & Simulation Symposium EMSS 2017 ; Conference date: 18-09-2017 Through 20-09-2017",

year = "2017",

language = "English",

isbn = "978-1-5108-4765-1",

series = "29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017",

pages = "546--551",

editor = "Francesco Longo and Michael Affenzeller and Piera, {Miquel Angel} and Bruzzone, {Agostino G.} and Emilio Jimenez",

booktitle = "29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017",

url = "http://www.msc-les.org/conf/emss2017/",

}

Zenisek, J, Nicoletti, L, Longo, F, Traugott, G, Padovano, A & Affenzeller, M 2017, Smart Maintenance Lifecycle Management: A Design Proposal. in F Longo, M Affenzeller, MA Piera, AG Bruzzone & E Jimenez (Hrsg.), 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017, S. 546-551, The 29th European Modeling & Simulation Symposium EMSS 2017, Barcelona, Spanien, 18.09.2017.

Smart Maintenance Lifecycle Management: A Design Proposal. / Zenisek, Jan; Nicoletti, Letizia; Longo, Francesco et al.
29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. Hrsg. / Francesco Longo; Michael Affenzeller; Miquel Angel Piera; Agostino G. Bruzzone; Emilio Jimenez. 2017. S. 546-551 (29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

TY - GEN

T1 - Smart Maintenance Lifecycle Management: A Design Proposal

AU - Zenisek, Jan

AU - Nicoletti, Letizia

AU - Longo, Francesco

AU - Traugott, Gabriele

AU - Padovano, Antonio

AU - Affenzeller, Michael

N1 - Funding Information: The work described in this paper was done within the projects: “Smart Factory Lab” which is funded by the European Fund for Regional Development (EFRE) and the state of Upper Austria as part of the program “Investing in Growth and Jobs 2014-2020”. Funding Information: “SG-ICT: Serious Game at Increased impact on Culture and Tourism” funded by Ministry of Education, Universities and Research (MIUR) under the StartUP program. Funding Information: “SISOM” funded by the Italian National Institute for Insurance against Accidents at Work (INAIL) under the BRIC 2015 program.

PY - 2017

Y1 - 2017

N2 - Given the latest trends toward the implementation of Industry 4.0 principles, the proposed research work combines human assistance technologies such as Virtual and Augmented Reality with advanced data analysis techniques and tools to develop a comprehensive strategy for Predictive Maintenance planning and execution. On one hand, using Augmented and Virtual Reality technologies, workers are effectively assisted during maintenance operations towards better performances and lower error rates. On the other hand, Predictive Maintenance entails strategies for maintenance planning based on machines’ current conditions to avoid unnecessary overhauls. Thus a seamless integration of Virtual and Augmented Reality with Predictive Maintenance is envisaged to bring substantial advantages in terms of productivity and competitiveness enhancement for manufacturing systems and represents a step ahead toward the real implementation of the Industry 4.0 vision.

AB - Given the latest trends toward the implementation of Industry 4.0 principles, the proposed research work combines human assistance technologies such as Virtual and Augmented Reality with advanced data analysis techniques and tools to develop a comprehensive strategy for Predictive Maintenance planning and execution. On one hand, using Augmented and Virtual Reality technologies, workers are effectively assisted during maintenance operations towards better performances and lower error rates. On the other hand, Predictive Maintenance entails strategies for maintenance planning based on machines’ current conditions to avoid unnecessary overhauls. Thus a seamless integration of Virtual and Augmented Reality with Predictive Maintenance is envisaged to bring substantial advantages in terms of productivity and competitiveness enhancement for manufacturing systems and represents a step ahead toward the real implementation of the Industry 4.0 vision.

KW - Industry 4.0

KW - Virtual / Augmented Reality

KW - Data Stream Analysis

KW - Predictive Maintenance

KW - Symbolic Regression

KW - Industry 4.0

KW - Virtual / Augmented Reality

KW - Data Stream Analysis

KW - Predictive Maintenance

KW - Symbolic Regression

UR - http://www.scopus.com/inward/record.url?scp=85035097576&partnerID=8YFLogxK

M3 - Conference contribution

SN - 978-1-5108-4765-1

T3 - 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

SP - 546

EP - 551

BT - 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

A2 - Longo, Francesco

A2 - Affenzeller, Michael

A2 - Piera, Miquel Angel

A2 - Bruzzone, Agostino G.

A2 - Jimenez, Emilio

T2 - The 29th European Modeling & Simulation Symposium EMSS 2017

Y2 - 18 September 2017 through 20 September 2017

ER -

Zenisek J, Nicoletti L, Longo F, Traugott G, Padovano A, Affenzeller M. Smart Maintenance Lifecycle Management: A Design Proposal. in Longo F, Affenzeller M, Piera MA, Bruzzone AG, Jimenez E, Hrsg., 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. 2017. S. 546-551. (29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

Smart Maintenance Lifecycle Management: A Design Proposal

Abstract

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