Now showing items 1-20 of 170

    • Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Cheng, Shih-Han (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-11)
      Metaheuristics can benefit from analyzing patterns and regularities in data to perform more effective searches in the solution space. In line with the emerging trend in the optimization literature, this study introduces the Reinforcement-learning-based Alpha-List Iterated Greedy (RAIG) algorithm to contribute to the advances in machine learning-based optimization, notably for solving combinatorial ...
    • Can an Industry-Led Infrastructure Development Strategy Facilitate Electric Truck Adoption? 

      Yu, Hao; Sun, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-12)
      Reverse logistics plays a critical role in sustainable development and circular economy by transforming waste into value. However, transporting large volumes of waste and recyclables generates significant carbon emissions. This paper explores an industry-led strategy for charging infrastructure development, which integrates the reverse logistics network designs with a network of charging stations ...
    • New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises using the MCDM Technique 

      Ejegwa, Paul Augustine; Terna, Anum Manasseh; Kausar, Nasreen; Nwokoro, Chukwudi Obinna; Aydin, Nezir; Yu, Hao (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-14)
      The problem of insecurity is a global phenomenon that has several forms like terrorism, banditry, kidnappings, etc. Insecurity has taken hold in the Sub-Saharan Region of West Africa, especially in Nigeria, for over two decades. Nigeria’s security crisis is more pronounced in the Northern Region, with a new wave in the North-Central Region of Nigeria. It is herculean to assess insecurity in the ...
    • Study of Heat Distribution in Railway Switch Using Resistive Heater in Cold Climate Conditions 

      Lotfi, Arefeh; Adeel, Yousuf; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-11)
      The railway is an essential source of logistics and transportation in cold regions, but low temperatures and icing can be challenging for uninterrupted railway operations in these regions. Icing on railway switches is a safety hazard, and presently, one of the industry’s adaptive approaches for ice mitigation is the use of resistive heaters. This method is efficient but consumes a great amount of ...
    • Two-agent proportionate flowshop scheduling with deadlines: polynomial-time optimization algorithms 

      Ying, Kuo-ching; Pourhejazy, Pourya; Sung, Chuan-En (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-21)
      Volatility in the supply chain of critical products, notably the vaccine shortage during the pandemic, influences livelihoods and may lead to significant delays and long waiting times. Considering the capital- and time-intensive nature of capacity expansion plans, strategic oper ational production decisions are required best to address the supply-demand mismatches given the limited production ...
    • On the Fidelity of RANS-Based Turbulence Models in Modeling the Laminar Separation Bubble and Ice-Induced Separation Bubble at Low Reynolds Numbers on Unmanned Aerial Vehicle Airfoil 

      Muhammed, Manaf; Virk, Muhammad Shakeel (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-09)
      The operational regime of Unmanned Aerial Vehicles (UAVs) is distinguished by the dominance of laminar flow and the flow field is characterized by the appearance of Laminar Separation Bubbles (LSBs). Ice accretion on the leading side of the airfoil leads to the formation of an Ice-induced Separation Bubble (ISB). These separation bubbles have a considerable influence on the pressure, heat flux, and ...
    • An exploration of the concept of constrained improvement in data envelopment analysis 

      Arabjazi, Nasim; Pourhejazy, Pourya; Rostamy-Malkhalifeh, Mohsen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-31)
      Constrained improvement refers to regulating rivalry between companies in a particular industry by defining a framework or an evaluation mechanism. Such a mechanism results in a more equitable and healthy competitive environment. The primary motivation is that the best-performing players in a particular industry improve their performance such that the rest of the contenders remain competitive. ...
    • A Two-Level Decision-Support Framework for Reverse Logistics Network Design Considering Technology Transformation in Industry 4.0: A Case Study in Norway 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng; Govindan, Kannan (Journal article; Tidsskriftartikkel, 2024-07-20)
      Reverse logistics network design is a complex decision-making problem that involves the reuse, repair, remanufacturing, and recycling of end-of-life (EOL) under the tradeoff among conflicting objectives. The cutting-edge technologies in Industry 4.0 are now leading to an unprecedented and dynamic transformation of reverse logistics systems, which, however, further complicates the initial network ...
    • 20th International Workshop on Atmospheric Icing of Structures (IWAIS 2024) Conference Proceedings 

      Virk, Muhammad Shakeel; Nygaard, Bjørn Egil; Pettersen, Jan-Arne; Olsen, Margrethe Grundstad; Kvernelv, Wenche Lisbeth Berg; Khawaja, Hassan Abbas; Sveen, Svein-Erik; Han, Xingbo; Lotfi, Arefeh; Fikke, Svein Magnus; Holdø, Arne Erik; Adeel, Yousuf; Adum, Boris; Yin, Fanghui; Momen, Gelareh; Qin, Hu; Hui, Hu; Gutman, Igor; Jin, Jia Yi; Kollár, László; Huang, Mingfeng; Muhammed, Manaf; Badran, Omar; Sokolov, Pavlo; Hann, Richard; Farokhi, Shahab; Karlsson, Timo; Janjua, Zaid Ayaz; Farzaneh, Masoud; Mitten, Paul; Jiang, Xingliang; Huang, Xinbo; Šabata, Jaroslav; Makkonen, Lasse; Bodo, Wichura; Eliasson, Árni Jón; Kimura, Shigeo; Ozeki, Toshihiro; Chereshnyuk, Sergej; Jones, Kathleen; Lacavalla, Matteo (Book; Bok, 2024)
    • Intelligent decision modeling for optimizing railway cold chain service networks under uncertainty 

      Gan, Mi; Li, Dandan; Yao, Zhu; Yu, Hao; Ou, Qichen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-27)
      Railway cold chain service network design (RCC-SND) aims to optimize the utilization of stations and lines as well as train allocations in a manner that minimizes costs while satisfying the service requirements of shippers. Furthermore, the uncertainties associated with freight demand, transportation costs, quality loss, station handling capacity, and arc capacity make the RCC-SND a complex ...
    • Revisiting the development trajectory of parallel machine scheduling 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Xin-Yi (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-23)
      The research on the Parallel Machine Scheduling Problem (PMSP) has undergone significant development. The most recent comprehensive review of published studies dates back to early 2001. This article presents an algorithmic review of PMSPs, using Main Path Analysis (MPA) to identify seminal knowledge diffusion and development trajectories. This research also sheds light on the less tangible aspects ...
    • Uncertain Remanufacturing Reverse Logistics Network Design in Industry 5.0: Opportunities and Challenges of Digitalization 

      Yu, Hao; Sun, Xu (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-10)
      Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the functionality of waste products. The challenge in planning an effective remanufacturing reverse logistics system lies in the uncertainties from various sources. In addition, the evolving industrial landscape in Industry 5.0 necessitates adaptability to technological advancements. This paper proposes an ...
    • Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-01-26)
      With the rapid technological advancement and innovation in Industry 4.0/5.0, digitalization has become the mainstream that transforms the paradigm of many industries, businesses, and services. In this regard, AI-enabled chatbots have been increasingly adopted by many companies for providing customer services instead of human agents. On the one hand, the use of AI-enabled chatbots provides opportunities ...
    • A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0 

      Sun, Xu; Yu, Hao; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-09-14)
      The rapid development of information and communication technology (ICT) and digitalization in the Industry 5.0 era have opened up new opportunities for reverse logistics management to become digitalized, smarter, more sustainable, and simplified by incorporating disruptive technologies, e.g., Internet-of-things (IoT), artificial intelligence (AI), big data analysis, simulation, blockchain, etc. ...
    • A General Framework for Epidemic Logistics Management 

      Maharjan, Sujan; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-01-26)
      Human history is full of epidemic outbreaks that occur on a regular basis. The past epidemics have resulted in millions of deaths and economic recessions. With the increasing frequency of human-induced epidemics in recent years, effective and efficient epidemic logistics management has become vital for successfully containing the spread of the disease as well as preventing societal disruption, ...
    • A new dispatching mechanism for parallel-machine scheduling with different efficiencies and sequence-dependent setup times 

      Wu, Gen-Han; Pourhejazy, Pourya; Li, Wang-Xian; Wu, Tai-Hsi (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-22)
      he Apparent Tardiness Cost (ATC) dispatching rule was initially developed to minimize tardiness in single machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle machine capacity with a single-machine outlook; this approach may not result in the best outcomes, considering that machines have different efficiencies. This ...
    • Exploring the curricular and pedagogical decision criteria for research-based learning design in undergraduate studies 

      Pourhejazy, Pourya; Isaksen, Karl Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-13)
      Learning design has a multifaceted nature requiring a range of course- and institutional considerations. Analyzing the decision criteria’s influence on research-based learning design helps understand the causes of the success/failure of the approach in achieving the teaching goals to improve the study programs. This study explores the interrelationship between the curricular and pedagogical criteria ...
    • A Readiness Model for Facilitating the Implementation of Metal Additive Manufacturing at SMEs 

      Sæterbø, Mathias; Solvang, Wei Deng (Chapter; Bokkapittel, 2023-05-23)
      SMEs constitute the backbone of the global economy possessing a vital role in future economic prosperity. Today, with the increasing competition due to globalization of markets and mass customization, as well as the increasing focus on green shift and sustainability, the need to take advantage of new technological innovations has never been more prominent. Metal Additive Manufacturing (MAM) is one ...
    • Customizing Smart Warehouse Management for Large Scale Production Industries 

      Khan, Natalia Batool; Solvang, Wei Deng; Yu, Hao (Chapter; Bokkapittel, 2023-05-23)
      Rapid changes in the level of digitalization have changed manufacturing and production industries during our lifetime. Several industries have explored the extent to which these changes can be utilized to optimize supply chain processes and increase sustainability – they have achieved success in implementation. The energy industry, being one of the world’s largest and most financially consuming ...
    • 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 ...