Viser treff 61-80 av 160

    • 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 ...
    • 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 ...