Viser treff 101-120 av 237

    • 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 ...
    • 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 ...
    • 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 ...