Viser treff 135-154 av 158

    • Study of Wind Flow Angle and Velocity on Ice Accretion of Transmission Line Composite Insulators 

      Huang, Yafei; Virk, Muhammad Shakeel; Xingliang, Jiang (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 ...
    • 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 ...
    • Supply Chain Control Tower and the Adoption of Intelligent Dock Booking for Improving Efficiency 

      Wyciślak, Sławomir; Pourhejazy, Pourya (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-13)
      Poor coordination at distribution centers is a prime source of supply chain delays and energy waste that can be avoided through real-time planning and enhanced visibility. As a modern logistics topic with implications for supply chain transformation, Intelligent Dock Booking (IDB) coordinates the incoming and outgoing shipments at distribution centers. The research on IDB is at the early development ...
    • System Integration for Smart Reverse Logistics Management 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-16)
      To maximize the value and material recovery from waste products, smart reverse logistics aims at managing the complex flows of physical items, cash, data, and information. The effective management of these flows requires optimal decision making at strategic, tactical, and operational levels. To support the decision making, predictive, prescriptive, and descriptive analytics have been proved to be ...
    • Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Ya-Hsuan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-24)
      This article contributes to the additive manufacturing-based production planning literature by developing a Mixed-Integer Linear Programming (MILP) formulation for the Identical Parallel 3D-Printing Machines Scheduling Problem considering batching, multiple build platforms of restricted sizes, and sequence-independent setup times. Besides, a customized metaheuristic, named the Tailored Iterated ...
    • Technology Modules Providing Solutions for Agile Manufacturing 

      Deniša, Miha; Ude, Aleš; Simonič, Mihael; Kaarlela, Tero; Pitkäaho, Tomi; Pieskä, Sakari; Arents, Janis; Judvaitis, Janis; Ozols, Kaspars; Raj, Levente; Czmerk, András; Dianatfar, Morteza; Latokartano, Jyrki; Schmidt, Patrick Alexander; Mauersberger, Anton; Singer, Adrian; Arnarson, Halldor; Shu, Beibei; Dimosthenopoulos, Dimosthenis; Karagiannis, Panagiotis; Ahonen, Teemu-Pekka; Valjus, Veikko; Lanz, Minna (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-01)
      : In this paper, we address the most pressing challenges faced by the manufacturing sector, particularly the manufacturing of small and medium-sized enterprises (SMEs), where the transition towards high-mix low-volume production and the availability of cost-effective solutions are crucial. To overcome these challenges, this paper presents 14 innovative solutions that can be utilized to support ...
    • To Measure Relative Permittivity of Atmospheric Ice Using Frequency Sweep 

      Mughal, Umair Najeeb; Shu, Beibei (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-10-31)
      The use of AD59333 IC for detecting atmospheric ice and atmospheric ice type was evaluated in this article. A prototype circuit was developed and was tested using a frequency sweep from 40 Hz to 20 kHz. The IC was calibrated using 100 kΩ resistor. The real and imaginary components of discrete Fourier transform were recorded at each frequency increment in order calculate the gain factor at each ...
    • Torque and Axial Loading Physics for Measuring Atmospheric Icing Load and Icing Rate 

      Mughal, Umair Najeeb; Virk, Muhammad Shakeel (Peer reviewed; Journal article; Tidsskriftsartikkel, 2015-01-31)
      Measuring icing load and icing rate are important parameters for an atmospheric icing sensor. A new icing sensor has recently been designed and developed at Narvik University College for measuring atmospheric icing rate, icing load and icing type. Unlike the existing atmospheric icing sensors commercially available in market, which uses the axial loading for measuring icing load and icing rate, 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 ...
    • Towards automatic configuration and programming of a manufacturing cell 

      Arnarson, Halldor; Al-Sallami, Hussein Mahdi Yaseen; Solvang, Bjørn; Bremdal, Bernt Arild (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-04)
      Manufacturing industries are moving from mass production towards customized production, aiming for highquality products with innovative technologies, low prices, and high reliability. A reconfigurable manufacturing system (RMS) is an attractive approach to facilitate the movement toward such flexible manufacturing systems. However, reconfiguration and programming of RMS are time-consuming and ...
    • 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 ...
    • Towards smart layout design for a reconfigurable manufacturing system 

      Arnarson, Halldor; Yu, Hao; Olavsbråten, Morten Monland; Bremdal, Bernt Arild; Solvang, Bjørn (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-02)
      Global competition and increased variety in products have created challenges for manufacturing companies. One solution to handle the variety in production is to use reconfigurable manufacturing systems (RMS). These are modular systems where machines can be rearranged depending on what is being manufactured. However, implementing a rearrangeable system drastically increases complexity, among which ...
    • Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-16)
      The recent advancement of digitalization and information and communication technology (ICT) has not only shifted the manufacturing paradigm towards the Fourth Industrial Revolution, namely Industry 4.0, but also provided opportunities for a smart logistics transformation. Despite studies have focused on improving the smartness, connectivity, and autonomy of isolated logistics operations with a primary ...
    • A Trade-off Model for Green Supply Chain Design: An Efficiency-versus-Emission Analysis 

      Yu, Hao; Solvang, Wei Deng (Peer reviewed; Chapter; Bokkapittel, 2018-04-09)
      —With the growing concern of climate change and global warming, the reduction on carbon emissions of supply chain activities have been increasingly focused by both academics and corporates in the last two decades. The increased public awareness on sustainability and stricter environmental policies together enforce the companies to rethink their practices in supply chain design and operations in an ...
    • A Two-Stage Decision-Support Approach for Improving Sustainable Last-Mile Cold Chain Logistics Operations of COVID-19 Vaccines 

      Andol, Eugenia Ama; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-21)
      The COVID-19 pandemic has become a global health and humanitarian crisis that catastrophically affects many industries. To control the disease spread and restore normal lives, mass vaccination is considered the most effective way. However, the sustainable last-mile cold chain logistics operations of COVID-19 vaccines is a complex short-term planning problem that faces many practical challenges, ...
    • A Two-Stage Decision-Support System for Floating Debris Collection in Reservoir Areas 

      Gao, Pan; Du, Wangmiao; Yu, Hao; Zhao, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-14)
      The accumulation of floating debris is one of the main challenges of water conservancy projects, which may pollute the vulnerable ecosystem of the reservoir area and impose significant risks on waterway transportation and dam operations. Due to the dynamicity and uncertainty caused by water flow, the collection of floating debris is much more complicated than on-land waste collection. In this paper, ...
    • Using Deep Learning to Predict the Amount of Chemicals Applied on the Wheel Track for Winter Road Maintenance 

      Hatamzad, Mahshid; Polanco Pinerez, Geanette Cleotilde; Casselgren, Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-30)
      The decade of big data has emerged in recent years, which has led to entering the era of intelligent transportation. One of the main challenges to deploying intelligent transportation is dealing with winter roads in cold climate countries. Different operations can be used to protect the road from ice and snow, such as spreading chemicals (here salt) on the road surface. Using salt for de-icing and ...
    • Using Mutual Charge Scheme to Measure Salinity of Ice 

      Mughal, Umair Najeeb; Nikumbh, Bhushan (Journal article; Peer reviewed; Tidsskriftartikkel, 2015)
      For offshore measurements in Cold Regions, salinity of ice is also a critical parameter (together with many other parameterssuchasicingtype,load,icingrateandmeltingrate)to be identified in order to optimize the performance of anti/de icing systems. Although there are some available sensory solutions in the market to measure real time salinity levels of water, however there are still not many real ...
    • 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 ...
    • A value chain analysis for bioenergy production from biomass and biodegradable waste: a case study in Northern Norway 

      Yu, Hao; Roman, Elisabeth; Solvang, Wei Deng (Peer reviewed; Chapter, 2018-09-12)
      During the past decades, the concerns of the depletion of fossil fuels and global warming caused by excess GHG emissions have become the most important driving force for the development and utilization of renewable energy resources. The successful experiences from the EU-28 have proved that bioenergy production from biomass and biodegradable waste is the most reliable and promising solution in ...