• Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions 

      Powell, Daryl John; Magnanini, Maria Chiara; Colledani, Marcello; Myklebust, Odd (Peer reviewed; Journal article, 2022)
      Zero Defect Manufacturing is a disruptive concept that has the potential to entirely reshape the manufacturing ideology. Building on the same quality management philosophy that underpins both lean production and Six Sigma, ...
    • Digitalization of the value chain - improving value chain performance with prediction 

      Fordal, Jon Martin (Doctoral theses at NTNU;2023:115, Doctoral thesis, 2023)
      Industrien har høye forventninger knyttet til muligheter introdusert ved økt bruk av digital data og digital teknologi, ofte omtalt som digitalisering. Mange har fremhevet digitalisering som et nøkkelelement for å lykkes ...
    • Enablers and inhibitors of Industry 4.0: results from a survey of industrial companies in Norway 

      Mogos, Flavia Maria; Eleftheriadis, Ragnhild Johnsen; Myklebust, Odd (Journal article; Peer reviewed, 2019)
      Since 2011 when it was announced, Industry 4.0 has inspired a series of governmental and private programs worldwide. Nevertheless, it is an emerging research field and the academia calls for further explorative research, ...
    • Enterprise Modelling supported by Manufacturing Systems Theory 

      Myklebust, Odd (Dr. ingeniøravhandling, 0809-103X; 2002:44, Doctoral thesis, 2002)
      There exist today a large number of enterprise models or enterprise modelling approaches. In a study of standards and project developed models there are two approaches: CIMOSA “The Open Systems Architecture for CIM” and ...
    • 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 ...
    • Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report 

      Nguyen, Phu Hong; Sen, Sagar; Jourdan, Nicolas; Cassoli, Beatriz; Myrseth, Per; Armendia, Mikel; Myklebust, Odd (Peer reviewed; Journal article, 2022)
      Cyber-physical systems (CPS) have been developed in many industrial sectors and application domains in which the quality requirements of data acquired are a common factor. Data quality in CPS can deteriorate because of ...