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Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing

Alexandros Bousdekis, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
2015 Proceedings of the 17th International Conference on Enterprise Information Systems  
We propose an approach for supporting analysts selecting the most suitable combination(s) of methods for prognostic-based maintenance decision support according to the requirements of a given maintenance  ...  Condition Based Maintenance (CBM) relies on prognostic models and uses them to support maintenance decisions based on the current and predicted health state of equipment.  ...  ACKNOWLEDGEMENTS This work is partly funded by the European Commission project FP7 STREP ProaSense "The Proactive Sensing Enterprise" (612329).  ... 
doi:10.5220/0005372104870494 dblp:conf/iceis/BousdekisMAM15 fatcat:qz4rv5n5bjebbjvi37w73nnmsm

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Omar Bougacha, Christophe Varnier, Noureddine Zerhouni
2021 International Journal of Prognostics and Health Management  
This paper reviews in the literature about the different aspects of decision-making in the context of PHM.  ...  and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision- making process that refers to the term management in prognostics  ...  The importance of those interactions offers a promising field of research in prognostics and health management.  ... 
doi:10.36001/ijphm.2020.v11i2.2928 fatcat:ljchziptpvcark32jpxkf6qlg4

Assessing Safety Prognostic Technology for Complex Petroleum Engineering Projects

Kashif Abbas, SUIT Peshawar, Pakistan, Wiqas Alam, SUIT Peshawar, Pakistan
2021 International Journal of Engineering Works  
The results of the research examined that safety prognostic technologies are significant in terms of enhancing safety, reliability and reducing the possible errors in maintenance.  ...  The current research was aimed at examining the challenges pertinent to safety prognostic technology as well as various ways in which it can be implemented for resolving issues in complex petroleum engineering  ...  On inquiry regarding decision support system in refineries, one of the interview participants responded: "Decision support systems are not the solution themselves.  ... 
doi:10.34259/ijew.21.808226231 fatcat:egrdvsqxizb5zcpjopcfxd6wge

The Adoption of Prognostic Technologies in Maintenance Decision Making: A Multiple Case Study

W.W. Tiddens, A.J.J. Braaksma, T. Tinga
2015 Procedia CIRP  
Among these are the identification of the correct parameters to measure, the translation of the gathered data into useful maintenance decision support and the need for guidance in prognostic technology  ...  Based on the literature, a framework on generalized routes to implement prognostic technologies for maintenance decision making will be presented.  ...  This research is part of the Tools4LCM project, funded by the Netherlands Ministry of Defence and the National Aerospace Laboratory NLR.  ... 
doi:10.1016/j.procir.2015.08.028 fatcat:xb5t2ambnbd7ja7zkeupqusxqe

Adaptive Multi-scale PHM for Robotic Assembly Processes

Benjamin Y Choo, Peter A Beling, Amy E LaViers, Jeremy A Marvel, Brian A Weiss
2015 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems.  ...  As a rule, PHM information is not used in high-level decision-making in manufacturing systems.  ...  Acknowledgments This research is supported by the National Institute of Standards and Technology.  ... 
pmid:28664161 pmcid:PMC5486223 fatcat:pwn24xzssvashjqzgewrfojxai

A review of diagnostic and prognostic capabilities and best practices for manufacturing

Gregory W. Vogl, Brian A. Weiss, Moneer Helu
2016 Journal of Intelligent Manufacturing  
This paper reviews the challenges, needs, methods, and best practices for PHM within manufacturing systems.  ...  However, PHM is still an emerging field, and much of the published work has been either too exploratory or too limited in scope.  ...  The goal of PHM technology is to provide decision support; that is, actionable information to support decision making (Kalgren et al. 2007 ).  ... 
doi:10.1007/s10845-016-1228-8 pmid:30820072 pmcid:PMC6391061 fatcat:rwecehobjnfbdki6w7wlcaptue

A Prognostics and Health Management Based Method for Refurbishment Decision Making for Electromechanical Systems

Kai Wang, Jing Tian, Michael Pecht, Aidong Xu
2015 IFAC-PapersOnLine  
In this paper, a prognostics and health management-based method is developed for refurbishment decision making.  ...  In this paper, a prognostics and health management-based method is developed for refurbishment decision making.  ...  A NOVEL PHM-BASED METHOD FOR REFURBISHMENT DECISION MAKING OF ELECTROMECHANICAL SYSTEMS The framework of the method proposed is shown in Fig. 1 Considering that the PHM method is performed when the  ... 
doi:10.1016/j.ifacol.2015.06.123 fatcat:lybmsf4a3ze65aionufzhzj274

Condition-based maintenance implementation: a literature review

Humberto Nuno Teixeira, Isabel Lopes, Ana Cristina Braga
2020 Procedia Manufacturing  
Recent advances in Big Data analytics and Internet of Things (IoT) enable real-time decision making based on abundant data acquired from several different sources.  ...  Recent advances in Big Data analytics and Internet of Things (IoT) enable real-time decision making based on abundant data acquired from several different sources.  ...  The framework was tested in the prognostics of a power transformer failure mode based on risk estimations performed in real time for the selected failure mode.  ... 
doi:10.1016/j.promfg.2020.10.033 fatcat:4slusvtscjhq3afodb6mwkua6e

A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises [chapter]

Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
2015 Lecture Notes in Computer Science  
We outline a new architecture for supporting proactive decision making in manufacturing enterprises.  ...  We illustrate how the proposed architecture supports decisionmaking ahead of time on the basis of real-time observations and anticipation of future undesired events by presenting a practical condition-based  ...  This work is partly funded by the European Commission project FP7 STREP ProaSense "The Proactive Sensing Enterprise" (612329) http://www.proasense.eu/.  ... 
doi:10.1007/978-3-319-26138-6_17 fatcat:66rigtmncjeonbdgqmsbppjtci

Prognostic Model Development with Missing Labels

Patrick Zschech, Kai Heinrich, Raphael Bink, Janis S. Neufeld
2019 Business & Information Systems Engineering  
So I would like to take this opportunity to thank at least some of those who have supported me over the past few years in one way or another to complete this life-changing project.  ...  Acknowledgements The marathon project of writing a doctoral thesis is not an individual runner's achievement.  ...  In the second step, existing solution approaches based on data-driven methods have to be collected that address the specified decision support task.  ... 
doi:10.1007/s12599-019-00596-1 fatcat:i3ebjkmevjdzzbzarupfd4hw5e

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
2021 Electronics  
The main research directions include the coupling of decision-making with augmented reality for seamless interfacing that combines the real and virtual worlds of manufacturing operators; methods and techniques  ...  of the cloud continuum for optimal deployment of decision-making services; capability of decision-making methods to cope with big data; incorporation of advanced security mechanisms; and coupling decision-making  ...  The need to support data-driven decision-making in Industry 4.0 has leveraged the development of new methods and algorithms aiming to support engineers in making optimal decisions about maintenance and  ... 
doi:10.3390/electronics10070828 doaj:8accfa8ec357433dbb02cde449e3af6a fatcat:7q55ex2mezfstdllzfufryeo3a

On the concept of e-maintenance: Review and current research

Alexandre Muller, Adolfo Crespo Marquez, Benoît Iung
2008 Reliability Engineering & System Safety  
To support this role, the development of the communication and information technologies has allowed the emergence of the concept of e-maintenance.  ...  Within the era of e-manufacturing and e-business, e-maintenance provides the opportunity for a new maintenance generation.  ...  Acknowledgements This research has been funded by the Spanish Ministry of Science and Education, Project DPI 2004:01843, besides FEDER funds.  ... 
doi:10.1016/j.ress.2007.08.006 fatcat:5ta7dxsvvngkxdcfjkdszqmqk4

Cloud-enabled prognosis for manufacturing

R. Gao, L. Wang, R. Teti, D. Dornfeld, S. Kumara, M. Mori, M. Helu
2015 CIRP annals  
Techniques for cloud computing are highlighted, as well as the influence of these techniques on the paradigm of cloud-enabled prognosis for manufacturing.  ...  As an emerging infrastructure, cloud computing provides new opportunities to achieve the goals of advanced manufacturing.  ...  Identification of certain commercial systems in this paper does 21 not imply recommendation or endorsement by NIST.  ... 
doi:10.1016/j.cirp.2015.05.011 fatcat:evyrmltqljd7bcieezh6euy6wm

Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop

Brian A Weiss, Gregory Vogl, Moneer Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan
2015 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
to implement condition monitoring, diagnostic, and prognostic technologies within manufacturing environments; and the priorities to meet the needs of PHM in manufacturing.  ...  The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014  ...  Acknowledgments The authors would like to thank the workshop speakers, panelists, and participants for their focused and diligent efforts during the two-day event.  ... 
pmid:28664163 pmcid:PMC5485851 fatcat:syxhdb334zbn5knkzpeijtwsvi

Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs

Amit Kumar Jain, Maharshi Dhada, Ajith Kumar Parlikad, Bhupesh Kumar Lad
2020 IFAC-PapersOnLine  
Lastly, the practical advantages of the proposed solution over the existing sensor-based solution were investigated via a case study.  ...  Presented in this paper is a low-cost digital solution (intelligently integrate cost-cutting off-the-shelf technologies) for SMEs via product quality driven auto-prognostics.  ...  ACKNOWLEDGEMENT The work presented in this paper was financially supported by the Royal Academy of Engineering London, UK (IAPP 18-19/31).  ... 
doi:10.1016/j.ifacol.2020.11.012 fatcat:lcgtm7y2rvd7ho64bwcp2zsugq
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