UNIFIED PREDICTIVE MAINTENANCE SYSTEM

Projektinformationen

UPTIME

ID Finanzhilfevereinbarung: 768634

DOI

10.3030/768634

Projekt abgeschlossen

EK-Unterschriftsdatum 11 Juli 2017

Startdatum 1 September 2017

Enddatum 28 Februar 2021

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Gesamtkosten

€ 6 248 367,50

EU-Beitrag

€ 4 847 836,25

Koordiniert durch

BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH
Germany

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (15)

FFT System Performance Evaluation

Evaluation of the UPTIME concepts algorithms and tools deployed in the FFT systemic infrastructure Documentation of the lessons learnt

Dissemination, Communication and Data Management Plan

Documentation of the planned activities with regard to the scientific dissemination of the project’s research results, the wide communication and awareness creation of the project concepts, and the management of the research data produced in the course of the pilots

MAILLIS Business Case, Conceptualization and Evaluation Strategy

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at MAILLIS case, and the evaluation methodology defined

Whirlpool System Performance Evaluation

Evaluation of the UPTIME concepts algorithms and tools deployed in the Whirlpool systemic infrastructure Documentation of the lessons learnt

Standardization Plan and Activities Report

Standardization Plan and Results with appendixes detailing the different proposals to be pushed to standardization bodies and describing the way to implement the UPTIME standards

Dissemination, Awareness Creation and Communication Kit

Report on the dissemination and communication ie awareness creation activities of each half of the projects duration

Publishable Project Activities Summary Report
Diagnosis, Prognosis and Decision Making Algorithms

Documentation of the existing predictive maintenance algorithms and the definition of the ones to be implemented in UPTIME

Whirlpool Business Case, Conceptualization and Evaluation Strategy

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at Whirlpool case, and the evaluation methodology defined

Methodology Deployment Kit

Documentation of the UPTIME methodology

Data Management and Processing Patterns

Documentation of the patterns specified for the industrialfactories data acquisition harmonization and processing

FFT Business Case, Conceptualization and Evaluation Strategy

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at FFT case, and the evaluation methodology defined.

Market Research

Market analysis of the predictive maintenance market

MAILLIS System Performance Evaluation

Evaluation of the UPTIME concepts algorithms and tools deployed in the MAILLIS systemic infrastructure Documentation of the lessons learnt

Conceptual Architecture and System Specification

This deliverable will give a view on the general architecture of the system which should lay a foundation for the integration of all components Each component will be described through its functional and nonfunctional requirements It will also provide data modelling of the relevant project data sources and system specification

Other (4)

Data-driven FMECA Mechanisms

This deliverable will document the architecture algorithms methodology and functionality of the prototype of the FMECA mechanism implemented

Industrial Operations Management Dashboard

Prototype of the the data aggregation and visualization component of the UPTIME emaintenance platform

Diagnosis and Prognosis Framework

Prototype and documentation of the workflows and algorithms comprising the diagnosis and prognosis framework of the UPTIME emaintenance platform

Catalogue of PM Models, Techniques, Platforms

It will be a report supported by a database (in access) available for investigation to be investigated on the basis of predefined filters and queries.

Veröffentlichungen

Conference proceedings (1)

Unveiling Trends and Predictions in Digital Factories

Autoren: Sophia Karagiorgou, Georgios Vafeiadis, Dimitrios Ntalaperas, Nikolaos Lykousas, Danae Vergeti, Dimitrios Alexandrou
Veröffentlicht in: 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019, Seite(n) 326-332, ISBN 978-1-7281-0570-3
Herausgeber: IEEE
DOI: 10.1109/dcoss.2019.00073

Peer reviewed articles (6)

Predictive Maintenance in the 4th Industrial Revolution: Benefits, Business Opportunities, and Managerial Implications

Autoren: Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: IEEE Engineering Management Review, Ausgabe 48/1, 2020, Seite(n) 57-62, ISSN 0360-8581
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/emr.2019.2958037

Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment

Autoren: Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: International Journal of Monitoring and Surveillance Technologies Research, Ausgabe 5 10.4018/IJMSTR.2017 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMSTR.2017/4, 2017, Seite(n) 38-62, ISSN 2166-7241
Herausgeber: IGI Publishing
DOI: 10.4018/IJMSTR.2017100103

Enabling condition-based maintenance decisions with proactive event-driven computing

Autoren: Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: Computers in Industry, Ausgabe 100, 2018, Seite(n) 173-183, ISSN 0166-3615
Herausgeber: Elsevier BV
DOI: 10.1016/j.compind.2018.04.019

Towards a Unified Predictive Maintenance System - A Use Case in Production Logistics in Aeronautics

Autoren: Karl Hribernik, Moritz von Stietencron, Alexandros Bousdekis, Bernd Bredehorst, Gregoris Mentzas, Klaus-Dieter Thoben
Veröffentlicht in: Procedia Manufacturing, Ausgabe 16, 2018, Seite(n) 131-138, ISSN 2351-9789
Herausgeber: Elsevier B.V
DOI: 10.1016/j.promfg.2018.10.168

Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0

Autoren: Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 52/13, 2019, Seite(n) 607-612, ISSN 2405-8963
Herausgeber: Elsevier
DOI: 10.1016/j.ifacol.2019.11.226

Prescriptive analytics: Literature review and research challenges

Autoren: Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: International Journal of Information Management, Ausgabe 50, 2020, Seite(n) 57-70, ISSN 0268-4012
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.ijinfomgt.2019.04.003

Book chapters (12)

Streaming Analytics in Edge-Cloud Environment for Logistics Processes

Autoren: Moritz von Stietencron, Marco Lewandowski, Katerina Lepenioti, Alexandros Bousdekis, Karl Hribernik, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: Advances in Production Management Systems. Towards Smart and Digital Manufacturing - IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part II, Ausgabe 592, 2020, Seite(n) 245-253, ISBN 978-3-030-57996-8
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-57997-5_29

A Unified Architecture for Proactive Maintenance in Manufacturing Enterprises

Autoren: Alexandros Bousdekis, Gregoris Mentzas, Karl Hribernik, Marco Lewandowski, Moritz von Stietencron, Klaus-Dieter Thoben
Veröffentlicht in: Enterprise Interoperability VIII - Smart Services and Business Impact of Enterprise Interoperability, Ausgabe 9, 2019, Seite(n) 307-317, ISBN 978-3-030-13692-5
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-13693-2_26

A Proactive Model for Joint Maintenance and Logistics Optimization in the Frame of Industrial Internet of Things

Autoren: Alexandros Bousdekis, Gregoris Mentzas
Veröffentlicht in: Operational Research in the Digital Era – ICT Challenges - 6th International Symposium and 28th National Conference on Operational Research, Thessaloniki, Greece, June 2017, 2019, Seite(n) 23-45, ISBN 978-3-319-95665-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-95666-4_3

Prescriptive Analytics: A Survey of Approaches and Methods

Autoren: Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Veröffentlicht in: Business Information Systems Workshops - BIS 2018 International Workshops, Berlin, Germany, July 18–20, 2018, Revised Papers, Ausgabe 339, 2019, Seite(n) 449-460, ISBN 978-3-030-04848-8
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-04849-5_39

Using Sensor Data for Predictive Maintenance of a Complex Transportation Asset

Autoren: Bernd Bredehorst, Olaf Peters, Jeroen Versteeg, Markus Neuhaus, Carl Hans, Moritz Von Stietencron
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Seite(n) 239-245, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch29

Real-time Predictive Maintenance Based on Complex Event Processing

Autoren: Klaus-Dieter Thoben, Abderrahim Ait-Alla, Marco Franke, Karl Hribernik, Michael Lütjen, Michael Freitag
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Seite(n) 291-296, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch36

DRIFT: A Data-driven Failure Mode, Effects and Criticality Analysis Tool

Autoren: Davide Zanardi, Manuele Barbieri, Giovanni Uguccioni
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Seite(n) 285-290, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch35

Part 6 Summary: Predictive Maintenance in Industry 4.0 - Methodologies, Tools and Interoperable Applications

Autoren: Gregoris Mentzas, Karl Hribernik, Klaus-Dieter Thoben, Dimitris Kiritsis, Ali Mousavi
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Seite(n) 233-237, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.part6

The Standards as Critical Means of Integration of Advanced Maintenance Approaches to Production Systems

Autoren: Yves Keraron
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Seite(n) 297-304, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch37

Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems

Autoren: Minas Pertselakis, Fenareti Lampathaki, Pierluigi Petrali
Veröffentlicht in: Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, Ausgabe 349, 2019, Seite(n) 120-131, ISBN 978-3-030-20947-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-20948-3_11

A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry

Autoren: Alexandros Bousdekis, Katerina Lepenioti, Dimitrios Ntalaperas, Danai Vergeti, Dimitris Apostolou, Vasilis Boursinos
Veröffentlicht in: Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, Ausgabe 349, 2019, Seite(n) 95-106, ISBN 978-3-030-20947-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-20948-3_9

Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing

Autoren: Katerina Lepenioti, Minas Pertselakis, Alexandros Bousdekis, Andreas Louca, Fenareti Lampathaki, Dimitris Apostolou, Gregoris Mentzas, Stathis Anastasiou
Veröffentlicht in: Advanced Information Systems Engineering Workshops - CAiSE 2020 International Workshops, Grenoble, France, June 8–12, 2020, Proceedings, Ausgabe 382, 2020, Seite(n) 5-16, ISBN 978-3-030-49164-2
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-49165-9_1