Institutt for industriell teknologi: Recent submissions

Now showing items 61-80 of 213

    • IoT in Arctic Tourism – A Case-study of the Tourist Information Office in Narvik 

      Mustafa, Ayah Mohamad Yazid Faisal; Noureddine, Rami; Thordarson, Diana Santalova (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11)
    • Localization, Navigation and Activity Planning for Wheeled Agricultural Robots – A Survey 

      Tahir, Syed Abdur Rahman (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11)
      High cost, time intensive work, labor shortages and inefficient strategies have raised the need of employing mobile robotics to fully automate agricultural tasks and fulfil the requirements of precision agriculture. In order to perform an agricultural task, the mobile robot goes through a sequence of sub operations and integration of hardware and software systems. Starting with localization, ...
    • Simulating wind characteristics through direct optimization procedures: illustration with three Russian sites 

      Kangash, Aleksei; Virk, Muhammad Shakeel; Maryandyshev, Pavel; Brillard, Alain (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-29)
      Wind energy assessment of a territory where a wind park is planned to be built is important. This can be performed through an appropriate evaluation of the wind characteristics in this territory. To simulate the wind speeds, a Weibull function is recommended whose parameters are classically determined either applying logarithms or using one of the formulas proposed in the literature. In the present ...
    • Cable Propelled Gondola System Operation in Icing Conditions 

      Azad, Zeeshan; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-30)
      The scope of this study comprehends problems associated with modern urban vehicles known as cable propelled gondolas system operations in icing conditions. The aspects under consideration are problems related to the operations, safety, and maintenance of cable car systems in harsh climate conditions. The geographical location of the gondola cars makes them vulnerable to severe weather conditions ...
    • Ice Accretion on Fixed-Wing Unmanned Aerial Vehicle—A Review Study 

      Muhammed, Manaf; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-28)
      Ice accretion on commercial aircraft operating at high Reynolds numbers has been extensively studied in the literature, but a direct transformation of these results to an Unmanned Aerial Vehicle (UAV) operating at low Reynolds numbers is not straightforward. Changes in Reynolds number have a significant impact on the ice accretion physics. Previously, only a few researchers worked in this area, ...
    • Exploring the mutual influence among the social innovation factors amid the COVID-19 pandemic 

      Badri Ahmadi, Hadi; Lo, Huai-Wei; Pourhejazy, Pourya; Gupta, Himanshu; Liou, James J.H. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-01)
      From the triple bottom line, the social aspect has received relatively limited attention during the Corona Virus Disease (COVID-19) pandemic, particularly in the emerging economies. Social innovation factors help improve the sustainability performance of the companies. This study develops a social innovation decision framework and analyses the interrelationships among social innovation factors ...
    • Common Educational Teleoperation Platform for Robotics Utilizing Digital Twins 

      Kaarlela, Tero; Arnarson, Halldor; Pitkäaho, Tomi; Shu, Beibei; Solvang, Bjørn; Pieskä, Sakari (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-18)
      The erratic modern world introduces challenges to all sectors of societies and potentially introduces additional inequality. One possibility to decrease the educational inequality is to provide remote access to facilities that enable learning and training. A similar approach of remote resource usage can be utilized in resource-poor situations where the required equipment is available at other premises. ...
    • Experimental evaluation of low-displacement compression ignited engines operating with hydroxy gas as a supplementary gaseous fuel 

      Duarte, Natalia; Arango, Donovan; Polanco Pinerez, Geanette Cleotilde; Valencia, Guillermo; Duarte-Forero, Jorge (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-09)
      A large proportion of annual production of worldwide greenhouses gases results from the use of internal combustion engines. This experimental work evaluates the influence of dual-fuel operation on the overall emissions of a low-displacement compression-ignition engine based on operational conditions such as torque, rotational speed, and load. Hydroxy gas is used as a supplementary gaseous fuel ...
    • 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 ...
    • Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques 

      Hatamzad, Mahshid; Polanco Pinerez, Geanette Cleotilde; Casselgren, Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-06)
      Since Winter Road Maintenance (WRM) is an important activity in Nordic countries, accurate intelligent cost-effective WRM can create precise advance plans for developing decision support systems to improve traffic safety on the roads, while reducing cost and negative environmental impacts. Lack of comprehensive knowledge and inaccurate WRM information would lead to a certain loss of WRM budget, ...
    • Modeling a Remanufacturing Reverse Logistics Planning Problem: Some Insights into Disruptive Technology Adoption 

      Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-19)
      Remanufacturing is the process to restore the functionality of high-value end-of-life (EOL) products, which is considered a substantial link in reverse logistics systems for value recovery. However, due to the uncertainty of the reverse material fow, the planning of a remanufacturing reverse logistics system is complex. Furthermore, the increasing adoption of disruptive technologies in Industry ...
    • Modelling An Improved Ship Appointment System for Lockage Operations of Waterway Transport 

      Zhao, Xu; Liu, Shun; Gao, Pan; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-10)
      The traffic congestion problem has become a significant challenge for green shipping of inland waterway transport, resulting in long waiting times and high carbon emissions. Several studies have been conducted to optimize the use of the passing facilities and lockage efficiency, but the improvement of the ship appointment system has not been investigated. In this paper, we formulate new mathematical ...
    • Addressing Uncertainty by Designing an Intelligent Fuzzy System to Help Decision Support Systems for Winter Road Maintenance 

      Hatamzad, Mahshid; Polanco Pinerez, Geanette Cleotilde; Casselgren, Johan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-17)
      One of the main challenges in developing efficient and effective winter road maintenance is to design an accurate prediction model for the road surface friction coefficient. A reliable and accurate prediction model of road surface friction coefficient can help decision support systems to significantly increase traffic safety, while saving time and cost. High dynamicity in weather and road surface ...
    • 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, ...
    • Computationally efficient approximate dynamic programming for multi-site production capacity planning with uncertain demands 

      Chen-Yang, Cheng; Pourhejazy, Pourya; Tzu-li, Chen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-05)
      With globalization and rapid technological-economic development accelerating the market dynamics, consumers' demand is becoming more volatile and diverse. In this situation, capacity adjustment as an operational strategic decision plays a major role to ensure supply chain responsiveness while maintaining costs at a reasonable norm. This study contributes to the literature by developing computationally ...
    • 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 ...
    • Variable Neighborhood-based Cuckoo Search for Production Routing with Time Window and Setup Times 

      Wu, Gen-Han; Cheng, Chen-Yang; Pourhejazy, Pourya; Fang, Bai-Lyn (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-23)
      Major corporations compete over the strengths of their supply chains. Integrating production and distribution operations helps improve supply chain connectedness and responsiveness beyond the standalone optimization norms. This study proposes an original Mixed-Integer Linear Programming (MILP) formulation for the Production scheduling-based Routing Problem with Time Window and Setup Times (PRP-TWST). ...
    • 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 ...
    • Three-phase separator simulator 

      Myrstad, Mats (Master thesis; Mastergradsoppgave, 2022-05-16)
      In this thesis, the goal is to compare the UIT model in the energy lab to the simulation program Aspen HYSYS. The model in the lab has consist of a three-phase separator tank with a weir, and two-component of water and cooking oil, It was made by two students at UIT in 2018. In this simulation, there will be three different variables to determine the accuracy of the simulation. The flow in and out, ...
    • Digital Twin framework for Extended Reality, by integrating Nachi and SCARA Robot in XR-lab 

      Vilhelmsson, Albin (Master thesis; Mastergradsoppgave, 2022-05-16)
      Digital Twin is a tool used for monitoring systems and controlling systems at a distance; the twining of systems has been around ever since NASA’s Apollo mission; creating a digital twin lets people monitor the system in real-time. A digital twin also allows for modeling, configuration, testing, optimization, and research under dynamic circumstances; it also provides for hazardous free training on ...