Recent additions

  • 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 ...
  • Integration of HoloLens in XR-LAB 

    Wang, Marius (Master thesis; Mastergradsoppgave, 2022-05-16)
    Extended reality is experiencing rapid growth, in both hardware and software and the marked is expanding targeting consumers, businesses and industry. At UiT, Narvik there is established an extended reality laboratory that have a potential to have an impact on the future for education and industry. However, the virtual environment is challenging to operate and navigate with the current equipment. ...
  • The Impact of COVID-19 on Supply Chains and E-commerce Logistics 

    Gu, Shiqi (Master thesis; Mastergradsoppgave, 2022-05-16)
    As a result of the COVID-19 pandemic, supply, demand, and logistics have all been affected. Due to its unpredictable severity, the pandemic has highlighted the need to modify the existing supply chain model, the consumer structure model, and the digitization of markets. At the same time, the situation under COVID-19 offers increasing opportunities for e-commerce, including new business models and ...
  • Industry 5.0 Enabled Smart Logistics: Optimization of Distribution Network in Food Industry 

    Jafari, Niloofar (Master thesis; Mastergradsoppgave, 2022-05-15)
    The fourth industrial revolution, namely Industry 4.0, has substantially impacted the supply chain and logistics operations which led to the introduction of Logistics 4.0. The incorporation of novel technologies in this context developed smart logistics; however, scholars raised the concerns about socio-economic aspects of these improvements. Industry 5.0 as a value-driven paradigm, in this regard, ...
  • Develop an autonomous product-based reconfigurable manufacturing system 

    Olavsbråten, Morten Monland (Master thesis; Mastergradsoppgave, 2022-05-15)
    With the ever-emerging market including mass customization and product variety, reconfigurable manufacturing systems (RMS) have been presented as the solution. A manufacturing system that combines the benefits of the two classic manufacturing systems to increase responsiveness and reduce production time and costs. To cope with the lack of physical systems, an RMS system have been built at UiT Narvik. ...
  • Feasibility Study of Carbon Capture and Storage Process to implement in Maritime Industry 

    Aryal Atreya, Ashish (Master thesis; Mastergradsoppgave, 2022-05-15)
    The CO2 emission is considered as one of the main elements for causing the global climatic change. The maritime industry contributes about 2.5% of the worldwide CO2 gas emission annually. The International Maritime Industry (IMO) has set the target of has set the target of reducing the total annual emission from international shipping to 70% by 2050. So, the carbon capture, utilization, and storage ...
  • 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 ...
  • Last Mile Distribution of COVID-19 Vaccines: A Cold Chain Logistical Challenge 

    Andoh, Eugenia Ama (Master thesis; Mastergradsoppgave, 2021-05-18)
    The COVID-19 pandemic is a global health and humanitarian crisis that has wreaked havoc on economies and industries around the world. This study aims to address the distribution of the COVID-19 vaccines at the last mile by evaluating the vaccine supply chain and how it can be effectively utilized to address the last mile distribution of the COVID-19 vaccines through simulation. The first part includes ...

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