Blar i SINTEF Open på tidsskrift "Procedia Computer Science"

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    • A model for optimal fleet composition of vessels for offshore wind farm maintenance 

      Gutierrez-Alcoba, Alejandro; Ortega, Gloria; Hendrix, Eligius M.T.; Halvorsen-Weare, Elin Espeland; Haugland, Dag (Journal article; Peer reviewed, 2017)
      We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, ...

    • Coordination in multi-team programmes: An investigation of the group mode in large-scale agile development 

      Dingsøyr, Torgeir; Rolland, Knut-Helge Ronæs; Moe, Nils Brede; Seim, Eva Amdahl (Journal article; Peer reviewed, 2017)
      Coordination of work teams is critical when managing large programmes that involve multiple teams. Prior studies of knowledge work indicate that such work relies heavily on coordination through "personal" modes such as ...

    • Effective Opportunity management in a Megaproject 

      Johansen, Agnar; Bjerke, Yvonne C.; Landmark, Andreas D. (Conference object; Journal article; Peer reviewed, 2018)
      This paper has investigated how the new national museum in Oslo has managed uncertainty over a three-year period (2016-2018). A combined approach was chosen for this study, using both a qualitative and a quantitative data ...

    • Feeble project mandate equal higher cost? 

      Bakke, Christian; Johansen, Agnar; Mohammad Mahmood, Kozhen; Grenland, Steffen (CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies, Peer reviewed; Journal article, 2019)
      This Study presents an analytical assessment of each of the Project Mandates and compares the results with the first estimates and final cost of governmental construction projects. The purpose of the study was to find out ...

    • Learning by doing: Public and private search for quick delivery and sustainability in building projects 

      Økland, Andreas; Johansen, Agnar; Tufto, Eli; Kylling, Iver-Erik (Journal article; Peer reviewed, 2017)
      Quick project delivery makes socio-economic sense as value can be delivered sooner. We investigate two approaches to achieving this; the modular super cube-concept for school buildings and conventional building conducted ...

    • Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions 

      Bordin, Chiara; Skjelbred, Hans Ivar; Kong, Jiehong; Yang, Zhirong (Peer reviewed; Journal article, 2020)
      This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show ...

    • RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems 

      Saad, Aya; Håkansson, Anne (Peer reviewed; Journal article, 2022)
      A key driver to offering smart services is an infrastructure of Cyber-Physical systems (CPS)s. By definition, CPSs are intertwined physical and computational components that integrate physical behaviour with computation. ...

    • Standardization and Modularization of Prisons 

      Økland, Andreas; Johansen, Agnar; Beste, Teresa; Gjesteby, Endre (Journal article; Peer reviewed, 2017)
      An urgent need for additional prison capacity in Norway has resulted in the Directorate of Public Construction and Property Management (Statsbygg) and the Directorate of Norwegian Correctional Service (Kriminalomsorgen) ...

    • The role of big data and knowledge management in improving projects and project-based organizations 

      Ekambaram, Anandasivakumar; Sørensen, Anette Østbø; Bull-Berg, Heidi; Olsson, Nils (Journal article; Peer reviewed, 2018)
      Knowledge management plays a significant role in organizations; supporting organizations to deal effectively with changes, increasing their productivity and paving the way to development and innovation. Several scientific ...

    • Towards Improved Visualization and Optimization of Aquaculture Production Process 

      Saad, Aya; Nissen, Oscar; Eilertsen, Espen; Bjørnson, Finn Olav; Norheim Hagtun, Tore; Aspaas, Odd Gunnar; Artemis Baikas, Alexia; Ohrem, Sveinung Johan (Peer reviewed; Journal article, 2022)
      Aquaculture is one of the largest, and fastest growing industries in Norway. Recently, the industry has experienced significant development in the daily operations acquiring new technologies and systems that capture data ...