Recent additions

  • Atmospheric Ice Accretion Measurement Techniques 

    Virk, Muhammad Shakeel; Mustafa, Mohamad Y; Hamdan, Qusai-Al (Journal article; Tidsskriftartikkel; Peer reviewed, 2011-09-30)
    Atmospheric icing on structures has proven to be an area of concern in many cold climate geographical regions like arctic and alpine. Difficulties encountered by the communication, construction and power industries in these areas are the subject of intense investigations for researchers from decades. Three main methods of investigation are generally employed by researchers to study atmospheric ice ...
  • Study of Ice Accretion on Horizontal Axis Wind Turbine Blade Using 2D and 3D Numerical Approach 

    Jin, Jia Yi; Virk, Muhammad Shakeel; Hu, Qin; Jiang, Xingliang (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-07)
    In order to optimize the wind turbine operation in ice prone cold regions, it is important to better understand the ice accretion process and how it affects the wind turbine performance. In this paper, Computational Fluid Dynamics (CFD) based 2D and 3D numerical techniques are used to simulate the airflow/droplet behaviour and resultant ice accretion on a 300 kW wind turbine blade. The aim is to ...
  • Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups 

    Pourhejazy, Pourya; Cheng, Chen-Yang; Ying, Kuo-Ching; Nam, Nguyen Hoai (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-03)
    Integrated scheduling of distributed manufacturing operations has implications for supply chain optimization and requires further investigations to facilitate its application area for various industry settings. This study extends the limited literature of the distributed two-stage production-assembly scheduling problems offering a twofold contribution. First, an original mathematical extension, the ...
  • Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics? 

    Jafari, Niloofar; Azarian, Mohammad; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-01)
    Given the importance of human centricity, resilience, and sustainability, the emerging concept of Industry 5.0 has pushed forward the research frontier of the technology-focused Industry 4.0 to a smart and harmonious socio-economic transition driven by both humans and technologies, where the role of the human in the technological transformation is predominantly focused on. Several studies discuss ...
  • Disassembly Line Balancing of Electronic Waste Considering the Degree of Task Correlation 

    Chen-Yang, Cheng; Yin-Yann, Chen; Pourhejazy, Pourya; Chih-Yu, Lee (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-10)
    With growing concerns about the depletion of rare-earth elements, managing End-of-Life products has become a key sustainability initiative in the supply chains of global corporations. Recycling, the process of dismantling, separating, and recovery of components and raw materials from wastes, is technologically challenging and should be planned in such a way as to ensure operational efficiency ...
  • Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems 

    Kuo-Ching, Ying; Fabio, Fruggiero; Pourhejazy, Pourya; Bo-Yun, Lee (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-19)
    As a disruptive technology, additive manufacturing (AM) is revolutionizing manufacturing supply chains. AM consists of producing 3-dimensional objects through layer-by-layer addition of compound material based on digital models. The scheduling of additive manufacturing operations differs from traditional (i.e., subtractive and injection molding) manufacturing with a single production run involving ...
  • A DEA-based decision analytics framework for product deletion in the luxury goods and fashion industry 

    Pourhejazy, Pourya; Thamachutha, Patcharaporn; Namthip, Tago-in (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-13)
    Traditionally, product deletion is a reactive decision driven by low sales volume and profit margin. However, the complexities involved in product management and consumer behavior volatilities make it necessary to account for a broad range of financial and non-financial factors. Besides, proactive product deletion may be required for a company to reduce the risk of draining resources, adjust to the ...
  • Using Slightly Imbalanced Binary Classification to Predict the Efficiency of Winter Road Maintenance 

    Hatamzad, Mahshid; Polanco Pinerez, Geanette; Cesselgren, Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-30)
    The prediction of efficiency scores for winter road maintenance (WRM) is a challenging and serious issue in countries with cold climates. While effective and efficient WRM is a key contributor to maximizing road transportation safety and minimizing costs and environmental impacts, it has not yet been included in intelligent prediction methods. Therefore, this study aims to design a WRM ...
  • Energy, Exergy, And Environmental Assessment Of A Small-Scale Solar Organic Rankine Cycle Using Different Organic Fluids 

    Polanco Pinerez, Geanette; Ochoa, Guillermo Valencia; Duarte-Forero, Jorge (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09)
    This article presents an energetic, exergetic, and environmental (3E) analysis of a solar powered simple Rankine Organic Cycle (ORC). The ORC is simulated using three organic working fluids, such as Toluene, Cyclohexane, and Acetone, meanwhile the solar system uses thermal oil Therminol 75. The present study shows the performance of this coupled system using historical solar annual radiation data ...
  • Smart Monitoring of Manufacturing Systems for Automated Decision-Making: A Multi-Method Framework 

    Pourhejazy, Pourya (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-15)
    Smart monitoring plays a principal role in the intelligent automation of manufacturing systems. Advanced data collection technologies, like sensors, have been widely used to facilitate real-time data collection. Computationally efficient analysis of the operating systems, however, remains relatively underdeveloped and requires more attention. Inspired by the capabilities of signal analysis and ...
  • The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities 

    Sun, Xu; Yu, Hao; Solvang, Wei Deng; Wang, Yi; Wang, Kesheng (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-10)
    Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at ...
  • Overview study on challenges of additive manufacturing for a healthcare application 

    Wakjira, Yosef Adugna; Lemu, Hirpa G.; Akessa, Adugna Deressa (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
    Additive manufacturing is a rapidly evolving manufacturing technology bringing numerous and wide opportunities for the design team involved in the process by creating intricate and customized products with saving labor, time, and other expenses. Innovative AM methods and numerous practical applications in aerospace, automotive, medical, energy, and other industries have been developed and commercialized ...
  • Wind Turbine Wake Effects on Wind Resource Assessments – a Case Study 

    Jin, Jia Yi; Ghani, Rizwan; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-24)
    This paper describes a case study of wind turbine wake loss effects on wind resource assessment in cold region. One year wind park SCADA data is used. Computational Fluid Dynamics (CFD) based numerical simulations are carried out for wind resource assessment and estimation of resultant Annual Energy Production (AEP). Numerical results are compared with the field SCADA data, where a good agreement ...
  • A Simulation-Based Analysis for Effective Distribution of COVID-19 Vaccines: A Case Study in Norway 

    Sun, Xu; Andol, Eugenia Ama; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-24)
    Since December 2020, the vaccines from several manufacturers, e.g., Pfizer/BioNTech, Moderna, etc., have been approved for mass vaccination to control the COVID-19 pandemic, which has caused more than 100 million infections and 2.4 million deaths. These vaccines are produced and transported in large quantities to suffice the needs of several countries. Before arriving at the end-users, the vaccines ...
  • Study of Wind Flow Angle and Velocity on Ice Accretion of Transmission Line Composite Insulators 

    Huang, Yafei; Virk, Muhammad Shakeel; Jiang, Xingliang (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-18)
    Ice accretion on insulators in cold regions is a serious and inevitable problem for power transmission lines, which may cause over-load and icing flashover accidents and can lead to wide power outage. In this research work, multiphase numerical simulations are carried out to investigate the effect of wind flow angle & velocity on the ice accretion of transmission line composite insulators. To verify ...
  • Brought by Degrees: A Focus on the Current Indicators of Lean ‘Smartness’ in Smart Cities 

    Collins, Dave; Johansen, Agnar; Kalsaas, Bo Terje; Temeljotov Salaj, Alenka; Hamdy, Mohamed (Chapter; Bokkapittel, 2021)
    The purpose of this paper is to look at the indicators to which a city can be considered to be a smart city based upon the degree it meets specific indicators within the categories of ‘Social Smartness’, ‘Technological Smartness’ and ‘Environmental Smartness’. The data collection for this paper was conducted through desk research in academic and non academic articles and publications that focus on ...
  • Aerodynamic forces on iced cylinder for dry ice accretion – A numerical study 

    Sokolov, Pavlo; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-28)
    Within this paper the ISO 12494 assumption of standard of slowly rotating reference collector under ice accretion has been tested. This concept, introduced by (Makkonen, 1984), suggests that the power line cables, which are the basis of the “reference collector” in the ISO framework, are slowly rotating under ice load, due to limited torsional stiffness. For this purpose, several Computational Fluid ...
  • Solving a Real-World Urban Postal Service Network Redesign Problem 

    Yu, Hao; Sun, Xu; Solvang, Wei Deng; Laporte, Gilbert (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-28)
    Due to recent technological advancements, more diversified customer demand, and increasingly harder competition, traditional postal service systems have experienced significant changes all over the world. In Norway, through a strategic reform called post-in-shop, undertaken in 2013, most postal services are now provided at postal service counters located in retailer stores in order to improve ...
  • Proactive Learning for Intelligent Maintenance in Industry 4.0 

    Noureddine, Rami; Solvang, Wei Deng; Johannessen, Espen; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-03)
    Manufacturing companies require efficient maintenance practices in order to improve business performance, ensure equipment availability and reduce process downtime. With the advent of new technology, manufacturing processes are evolving from the traditional ways into digitalized manufacturing. This transformation enables systems and machines to be connected in complex networks as a collaborative ...
  • Solving the Location Problem of Printers in a University Campus Using p-Median Location Model and AnyLogic Simulation 

    Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-03)
    The location decision on service facilities is of significant importance in determining the accessibility of the service provided. Due to this reason, it has been extensively focused over the past decades by both researchers and practitioners. This paper investigates a novel two-phase hybrid method combining both optimization model and agent-based simulation in order to solve the location problem ...

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