Blar i NTNU Open på forfatter "Rødseth, Harald"

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    • Deep digital maintenance 

      Rødseth, Harald; Schjølberg, Per; Marhaug, Andreas (Journal article; Peer reviewed, 2017)
      With the emergence of Industry 4.0, maintenance is considered to be a specific area of action that is needed to successfully sustain a competitive advantage. For instance, predictive maintenance will be central for asset ...

    • Development of Indicators for Maintenance Management within Integrated Planning 

      Rødseth, Harald (Doctoral theses at NTNU;2017:277, Doctoral thesis, 2017)
      The increased level of complexity in production and global competition demands a reliable plant capacity. To achieve this, it is of vital importance to integrate maintenance with production planning. This PhD research ...

    • Extending Statistical Process Control using quantitative methods in Industry 4.0 approaches 

      Sølvsberg, Endre (Master thesis, 2019)
      Informasjon er gitt om valgfrihet på dette punktet, og derfor er norsk versjon av sammendrag ikke inkludert her eller i selve oppgaven.

    • Initiating Industrie 4.0 by Implementing Sensor Management – Improving Operational Availability 

      Fordal, Jon Martin; Rødseth, Harald; Schjølberg, Per (Peer reviewed; Journal article, 2019)
      To stay competitive in the future, industrialists must be prepared to adopt the imminent changes and new technologies associated with Industrie 4.0. These changes apply equally to the field of maintenance, which is also ...

    • The Journey Towards World Class Maintenance with Profit Loss Indicator 

      Rødseth, Harald; Fordal, Jon Martin; Schjølberg, Per (Chapter, 2019)
      To have a maintenance function in the company that ensures a competitive advantage in the world market requires the world class maintenance (WCM). Though several different periods in history, maintenance has shifted from ...

    • Maintenance backlog for improving integrated planning 

      Rødseth, Harald; Schjølberg, Per (Journal article; Peer reviewed, 2017)
      Purpose – The purpose of this paper is to develop a novel model for maintenance backlog (MB) of physical assets and structure it in a framework for integrated planning (IPL). Design/methodology/approach – Reliability theory ...

    • Operator 4.0 - Emerging Job Categories in Manufacturing 

      Rødseth, Harald; Eleftheriadis, Ragnhild; Lodgaard, Eirin Anita; Fordal, Jon Martin (LNEE;volume 484, Chapter, 2019)
      With the trends of industry 4.0 and increased degree of digitalization in production plants, it is expected that production plants in future is much more adaptive where they can both self-optimize production parameters as ...

    • Predictive Maintenance for Synchronizing Maintenance Planning with Production 

      Rødseth, Harald; Schjølberg, Per; Wabner, Markus; Frieß, Uwe (Chapter, 2018)
      With the immense pressure to sustain competitive in European manufacturing, the strategy of digitalizing in this industry sector is indeed necessary. With the onset of new ICT technology and big data capabilities, the ...

    • Reliability-based Cyber Plant 

      Rødseth, Harald; Schjølberg, Per; Eleftheriadis, Ragnhild; Myklebust, Odd (Chapter, 2018)
      With the onset of Industry 4.0 several technological possibilities are offered in industry such as big data analytics, digital twin and augmented reality. The result is a more digitalised industry where faster and better ...

    • Risk-based maintenance backlog 

      Rødseth, Harald (Chapter, 2018)
      A relevant issue in manufacturing and production seems to be “silo”-organisations and “silo”-planning with lack of coordination between departments. Integrated Planning (IPL) is a concept that aims to cope with this ...

    • Smart Maintenance in Asset Management – Application with Deep Learning 

      Rødseth, Harald; Eleftheriadis, Ragnhild; Li, Zhe; Li, Jingyue (Chapter, 2020)
      With the onset the digitalization and Industry 4.0, the maintenance function and asset management in a company is forming towards Smart Maintenance. An essential application in smart maintenance is to improve the maintenance ...