Recent additions

  • Investigation of moisture transport in branch wood of Norway Spruce using NMR 

    Ler, Henrik Rødal (Master thesis; Mastergradsoppgave, 2024-05-15)
    Two samples from a specimen of a Norway spruce (Picea abies (L.) Karst.) branch was prepared. One opposite wood (OW) sample and one compression wood (CW) sample. Several tests using nuclear magnetic resonance were performed on these specimens to study the motion of moisture through the branch wood. The T2-experiment shows that the fibre saturation point is at 20% moisture content (MC) for OW and 25% ...
  • Machine Learning in Predictive Quality Management 

    Chikwekwe, Simbarashe Keith (Master thesis; Mastergradsoppgave, 2024-05-15)
    This thesis investigates how machine learning techniques has greater advantages over traditional Statistical Process Control (SPC) methods and Anomaly Detection (AD) in monitoring and controlling process parameters so that the process remains stable and in control to meet required quality satisfactions. The broader term of Predictive Quality Management introduces an important subject of predictive ...
  • 20th International Workshop on Atmospheric Icing of Structures (IWAIS 2024) Conference Proceedings 

    Virk, Muhammad Shakeel; Nygaard, Bjørn Egil; Pettersen, Jan-Arne; Olsen, Margrethe Grundstad; Kvernelv, Wenche Lisbeth Berg; Khawaja, Hassan Abbas; Sveen, Svein-Erik; Han, Xingbo; Lotfi, Arefeh; Fikke, Svein Magnus; Holdø, Arne Erik; Adeel, Yousuf; Adum, Boris; Yin, Fanghui; Momen, Gelareh; Qin, Hu; Hui, Hu; Gutman, Igor; Jin, Jia Yi; Kollár, László; Huang, Mingfeng; Muhammed, Manaf; Badran, Omar; Sokolov, Pavlo; Hann, Richard; Farokhi, Shahab; Karlsson, Timo; Janjua, Zaid Ayaz; Farzaneh, Masoud; Mitten, Paul; Jiang, Xingliang; Huang, Xinbo; Šabata, Jaroslav; Makkonen, Lasse; Bodo, Wichura; Eliasson, Árni Jón; Kimura, Shigeo; Ozeki, Toshihiro; Chereshnyuk, Sergej; Jones, Kathleen; Lacavalla, Matteo (Book; Bok, 2024)
  • Intelligent decision modeling for optimizing railway cold chain service networks under uncertainty 

    Gan, Mi; Li, Dandan; Yao, Zhu; Yu, Hao; Ou, Qichen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-27)
    Railway cold chain service network design (RCC-SND) aims to optimize the utilization of stations and lines as well as train allocations in a manner that minimizes costs while satisfying the service requirements of shippers. Furthermore, the uncertainties associated with freight demand, transportation costs, quality loss, station handling capacity, and arc capacity make the RCC-SND a complex ...
  • Revisiting the development trajectory of parallel machine scheduling 

    Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Xin-Yi (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-23)
    The research on the Parallel Machine Scheduling Problem (PMSP) has undergone significant development. The most recent comprehensive review of published studies dates back to early 2001. This article presents an algorithmic review of PMSPs, using Main Path Analysis (MPA) to identify seminal knowledge diffusion and development trajectories. This research also sheds light on the less tangible aspects ...
  • Technology transfer framework review for easy Cobot adoption by SMEs 

    Nyamadi, Caleb (Master thesis; Mastergradsoppgave, 2023-05-15)
    Collaborative industrial Robots (Cobots) were introduced as an advancement to traditional industrial Robots. Some advantages that were incorporated in Cobots included the ease of human interaction, safer working conditions and considerable smaller sizes. However, most Small & Medium Enterprises (SMEs) in Norway are not convinced of the merits of adopting these Cobots into their operations. This ...
  • Uncertain Remanufacturing Reverse Logistics Network Design in Industry 5.0: Opportunities and Challenges of Digitalization 

    Yu, Hao; Sun, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-10)
    Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the functionality of waste products. The challenge in planning an effective remanufacturing reverse logistics system lies in the uncertainties from various sources. In addition, the evolving industrial landscape in Industry 5.0 necessitates adaptability to technological advancements. This paper proposes an ...
  • Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation 

    Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-01-26)
    With the rapid technological advancement and innovation in Industry 4.0/5.0, digitalization has become the mainstream that transforms the paradigm of many industries, businesses, and services. In this regard, AI-enabled chatbots have been increasingly adopted by many companies for providing customer services instead of human agents. On the one hand, the use of AI-enabled chatbots provides opportunities ...
  • A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0 

    Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-09-14)
    The rapid development of information and communication technology (ICT) and digitalization in the Industry 5.0 era have opened up new opportunities for reverse logistics management to become digitalized, smarter, more sustainable, and simplified by incorporating disruptive technologies, e.g., Internet-of-things (IoT), artificial intelligence (AI), big data analysis, simulation, blockchain, etc. ...
  • A General Framework for Epidemic Logistics Management 

    Maharjan, Sujan; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-01-26)
    Human history is full of epidemic outbreaks that occur on a regular basis. The past epidemics have resulted in millions of deaths and economic recessions. With the increasing frequency of human-induced epidemics in recent years, effective and efficient epidemic logistics management has become vital for successfully containing the spread of the disease as well as preventing societal disruption, ...
  • A new dispatching mechanism for parallel-machine scheduling with different efficiencies and sequence-dependent setup times 

    Wu, Gen-Han; Pourhejazy, Pourya; Li, Wang-Xian; Wu, Tai-Hsi (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-22)
    he Apparent Tardiness Cost (ATC) dispatching rule was initially developed to minimize tardiness in single machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle machine capacity with a single-machine outlook; this approach may not result in the best outcomes, considering that machines have different efficiencies. This ...
  • Exploring the curricular and pedagogical decision criteria for research-based learning design in undergraduate studies 

    Pourhejazy, Pourya; Isaksen, Karl Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-13)
    Learning design has a multifaceted nature requiring a range of course- and institutional considerations. Analyzing the decision criteria’s influence on research-based learning design helps understand the causes of the success/failure of the approach in achieving the teaching goals to improve the study programs. This study explores the interrelationship between the curricular and pedagogical criteria ...
  • A Readiness Model for Facilitating the Implementation of Metal Additive Manufacturing at SMEs 

    Sæterbø, Mathias; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-05-23)
    SMEs constitute the backbone of the global economy possessing a vital role in future economic prosperity. Today, with the increasing competition due to globalization of markets and mass customization, as well as the increasing focus on green shift and sustainability, the need to take advantage of new technological innovations has never been more prominent. Metal Additive Manufacturing (MAM) is one ...
  • Customizing Smart Warehouse Management for Large Scale Production Industries 

    Khan, Natalia Batool; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-05-23)
    Rapid changes in the level of digitalization have changed manufacturing and production industries during our lifetime. Several industries have explored the extent to which these changes can be utilized to optimize supply chain processes and increase sustainability – they have achieved success in implementation. The energy industry, being one of the world’s largest and most financially consuming ...
  • Towards automatic generation of image recognition models for industrial robot arms 

    Arnarson, Halldor; Bremdal, Bernt Arild; Hanssen, Magnus Fredheim (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-12)
    As the world moves towards mass customization, there is a need for a manufacturing system that can quickly adapt to market changes. Reconfigurable manufacturing systems (RMS) have been proposed as a solution. RMS is designed to be modular with a high degree of flexibility. However, such a structure creates a lot of complexity. For instance, if the modules are moved or changed, the robot arms in the ...
  • A General Framework for Measuring and Reporting Sustainability of the Aquaculture Industry 

    Solvang, Wei Deng; Nagarajan, Akshay; Thordarson, Diana Santalova (Chapter; Bokkapittel, 2023-01-26)
    It has been a paradigm shift for the aquaculture industry in the current parallel era of circular economy, green shift, and Industry 4.0. As one of the world’s largest industries with a long-lasting and significant influence on global prosperity, national economy, food safety, and public health, the importance of sustainability of the aquaculture industry cannot be underestimated. One of the challenges ...
  • Shell-Based Finite Element Modeling of Herøysund Bridge in Norway 

    Azad, Zeeshan; Singh, Harpal; Nicoletti, Vanni (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-23)
    This paper thoroughly examines the application of the Finite Element Method (FEM) to the numerical modal analysis of Herøysund Bridge, focusing on the theoretical backdrop, the construction process, and FEM techniques. This work examines the specific applied FEM approaches and their advantages and disadvantages. This Herøysund Bridge analysis employs a two-pronged strategy consisting of a 3D–solid ...
  • Line Balancing Problem with Multi-Manned Workstations and Resource Constraints: The Case of Electronics Waste Disassembly 

    Yin-Yann, Chen; Pourhejazy, Pourya; Liu, Tzu-Ning (Journal article; Tidsskriftartikkel, 2023-12-14)
    The increasing public awareness of environmental protection and the scarcity of rare earth elements have made closed-loop supply chains a necessity in many sectors. In particular, recycling components and parts from end-of-life consumer electronics have drawn the attention of both academics and practitioners. Disassembly line balancing improves the resource efficiency of recycling operations. This ...
  • Towards a Concept for Digitalized Yard Logistics—Outlining the Next-Generation Features 

    Strandhagen, Jo Wessel; Semini, Marco Giovanni; Alfnes, Erlend (Chapter; Bokkapittel, 2023-09-14)
    Yards are industrial sites for production and servicing of ships and offshore maritime installations, such as oil and gas platforms and modules, offshore windmills, and fish farms—all essential products in the maritime industry. Although many yards are performing highly complex and technically advanced production, there is still a need to bring the internal logistics of yards to a corresponding level ...
  • A review of infrared thermography applications for ice detection and mitigation 

    Adeel, Yousuf; Khawaja, Hassan Abbas; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-18)
    Ice accretion on various onshore and offshore infrastructures imparts hazardous effects sometimes beyond repair, which may be life-threatening. Therefore, it has become necessary to look for ways to detect and mitigate ice. Some ice mitigation techniques have been tested or in use in aviation and railway sectors, however, their applicability to other sectors/systems is still in the research phase. ...

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