Bilde av Yu, Hao
Bilde av Yu, Hao
Associate Professor/Program Leader Industriála teknologiija instituhtta hao.yu@uit.no +4776966328 95126897 Narvik You can find me here

Hao Yu


Virgečilgehus

Associate Professor of Industrial Engineering

Program Leader of Master in Industrial Engineering


  • Sandong Qing, Mi Gan, Zhu Yao, Hao Yu :
    Platooning as a Service: Truck platooning with multi-source heterogeneous trucks
    IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2025 DOI
  • Hao Yu, Amit Adhikari, Xu Sun, Wei Deng Solvang, Mi Gan, Nezir Aydin :
    Can Electric Trucks Be a Viable Green Logistics and Transportation Solution? Modeling a Joint Logistics-and-Charging-Infrastructure Network Design Problem
    Green Energy and Intelligent Transportation 2025 DOI
  • Nezir Aydin, Funda Samanlioglu, Yusuf Burakhan Sert, Hao Yu, Vladimir Simic :
    Performance Evaluation of Operators in the Telecommunication Industry
    International Journal of Fuzzy Systems (IJFS) 2025 DOI / ARKIV
  • Kiymet Tabak Kizgin, Selcuk Alp, Nezir Aydin, Hao Yu :
    Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer
    Science Progress 2025 DOI / ARKIV
  • Xu Sun, Hao Yu, Wei Deng Solvang, Mi Gan :
    Distribution and logistics network design using digital twin: Concepts, methods, and applications
    2025
  • Hao Yu, Xu Sun, Wei Deng Solvang, Mi Gan :
    Distribution and logistics network design in Industry 5.0: Models, methods, and the impact of generative AI and large language models
    2025
  • Di Wen, Hongxia Lv, Hao Yu :
    Data-Driven Approach for Passenger Assignment in Urban Rail Transit Networks: Insights From Passenger Route Choices and Itinerary Choices
    Journal of Advanced Transportation 2025 DOI / ARKIV
  • Mi Gan, Zijun Guo, Zihan Zhang, Qian Zheng, Tao Peng, Hao Yu :
    Artificial neural network methods in smart logistics: Concept, methods, and applications
    2025
  • Sina Shahbazi Manshadi, Farideh Moosabeiki Dehabadi, Andrea Appolloni, Xu Sun, Hao Yu :
    Reverse logistics in Industry 5.0: Opportunities and challenges: A systematic literature review and research agenda
    2025 DOI
  • Tao Peng, Lin Ma, Xinchi Dong, Zihan Zhang, Yuxin He, Mi Gan et al.:
    Artificial intelligence and data-driven smart transportation and logistics: Unsupervised learning models and ensemble learning models
    2025
  • Zhu Yao, Mi Gan, Li Wang, Tao Peng, Hao Yu, Xiaobo Liu :
    Impact of carbon inequality embodied in interprovincial trade on National Road Freight Supply Chain Resilience
    Journal of Transport Geography 2025 DOI
  • Mathias Sæterbø, Halldor Arnarson, Hao Yu, Wei Deng Solvang :
    Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs
    Journal of manufacturing systems 2024 DOI / ARKIV
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu, Bente Elisabeth Rolland :
    Towards the design of a smart warehouse management system for spare parts management in the oil and gas sector
    Frontiers in Sustainability 2024 DOI / ARKIV
  • Xu Sun, Hao Yu, Wei Deng Solvang, Kannan Govindan :
    A Two-Level Decision-Support Framework for Reverse Logistics Network Design Considering Technology Transformation in Industry 4.0: A Case Study in Norway
    The International Journal of Advanced Manufacturing Technology 20. Jul 2024 DOI / ARKIV
  • Hao Yu, Xu Sun, Diana Santalova Thordarson, Kine Solbakken, Wei Deng Solvang :
    A Network-based Set Covering Model for Charging Station Location Problem: A Case Study in Norway
    2024 DOI / ARKIV
  • Shun Liu, Yu Zhang, Wenjing Guo, Weifeng Wang, Qianqian Zheng, Hao Yu :
    Ship appointment scheduling for lockage operations of waterway transport with non-punctual arrivals
    Ocean Engineering 2024 DOI / ARKIV
  • Tao Peng, Mi Gan, Qichen Ou, Xiaoyuan Yang, Lifei Wei, Henrik Rødal Ler et al.:
    Railway Cold Chain Freight Demand Forecasting with Graph Neural Networks: A Novel GraphARMA-GRU Model
    Expert Systems With Applications 2024 DOI / ARKIV
  • Hao Yu, Xu Sun :
    Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization
    Engineering Applications of Artificial Intelligence 2024 DOI / ARKIV
  • Paul Augustine Ejegwa, Anum Manasseh Terna, Nasreen Kausar, Chukwudi Obinna Nwokoro, Nezir Aydin, Hao Yu :
    New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises Using the MCDM Technique
    Mathematics 2024 DOI / ARKIV
  • Mi Gan, Dandan Li, Zhu Yao, Hao Yu, Qichen Ou :
    Intelligent decision modeling for optimizing railway cold chain service networks under uncertainty
    Information Sciences 2024 DOI / ARKIV
  • Niloofar Jefroy, Mathew Azarian, Hao Yu :
    The Application of Simulation in Facility Layout Design of an Industry 4.0 Factory
    Lecture Notes in Electrical Engineering 2024 DOI / ARKIV
  • Wei Deng Solvang, Bjørn Solvang, Forgo Zoltan, Heidi Kaartinen, Hao Yu, Beibei Shu :
    Educational Support for SMEs Transitioning from Industry 4.0 to Industry 5.0 - Insights and Lessons Learned from European Cooperation Projects
    2024 DOI / ARKIV
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu :
    Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review
    Logistics 06. Feb 2024 DOI / ARKIV
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu, Halldor Arnarson :
    Warehousing in the Context of Digital Supply Chain in the Oil and Gas Industry: Using Grounded Theory to Create Groundwork
    2024 DOI / ARKIV
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu :
    Warehousing in the Context of Digital Supply Chain in the Oil and Gas Industry: Towards Conceptualization and Groundwork
    2024 DOI / ARKIV
  • Natalia Batool Khan, Halldor Arnarson, Wei Deng Solvang, Hao Yu :
    Time Optimization of Warehouse Operations Through Industry 4.0 Technology Implementation: Case Study from a Spare Parts Warehouse in the Oil and Gas Industry
    2024 DOI / ARKIV
  • Hao Yu, Xu Sun :
    Can an Industry-Led infrastructure development strategy facilitate electric truck Adoption?
    Transportation Research Part D: Transport and Environment 2024 DOI / ARKIV
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0
    2023 DOI / ARKIV
  • Alexander Andronov, Diana Santalova Thordarson, Hao Yu :
    On an Interrupted Bivariate Renewal Process and Its Applications
    Automatic control and computer sciences 2023 DOI / ARKIV
  • Sujan Maharjan, Wei Deng Solvang, Hao Yu :
    A General Framework for Epidemic Logistics Management
    2023 DOI / ARKIV
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation
    2023 DOI / ARKIV
  • Mathew Azarian, Hao Yu, Asmamaw Tadege Shiferaw, Tor Kristian Stevik :
    Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment
    Logistics 2023 DOI / ARKIV
  • Pan Gao, Wangmiao Du, Hao Yu, Xu Zhao :
    A Two-Stage Decision-Support System for Floating Debris Collection in Reservoir Areas
    Computers & industrial engineering 2023 DOI / ARKIV
  • Sarah AL Hilfi, Hao Yu, Pavel Loskot :
    Baggage dissociation for sustainable air travel: Design study of ground baggage distribution networks
    Transportation Research Interdisciplinary Perspectives (TRIP) 2023 DOI / ARKIV
  • Halldor Arnarson, Hao Yu, Morten Monland Olavsbråten, Bernt Arild Bremdal, Bjørn Solvang :
    Towards smart layout design for a reconfigurable manufacturing system
    Journal of manufacturing systems 2023 DOI / ARKIV
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu :
    Customizing Smart Warehouse Management for Large Scale Production Industries
    2023 DOI / ARKIV
  • Hao Yu :
    Modeling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption
    The International Journal of Advanced Manufacturing Technology 2022 DOI / ARKIV
  • Niloofar Jefroy, Mathew Azarian, Hao Yu :
    Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?
    Logistics 2022 DOI / ARKIV
  • Pan Gao, Shun Liu, Xu Zhao, Hao Yu :
    Bi-objective Optimization of Ship Dam-passing Appointment Scheduling Considering Green Navigation
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi 2022 DOI
  • Xu Sun, Hao Yu, Wei Deng Solvang, Yi Wang, Kesheng Wang :
    The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities
    Environmental Science and Pollution Research 2022 DOI / ARKIV
  • Eugenia Ama Andoh, Hao Yu :
    A Bibliometric Analysis of the Logistical Challenges and Methods for Vaccine distribution under the Pandemic
    Lecture Notes in Electrical Engineering 2022 DOI / ARKIV
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda
    Environmental Science and Pollution Research 2022 DOI / ARKIV
  • Syed Muhammad Mustafa Kazmi, Xu Sun, Hao Yu, Jan-Arne Pettersen, Diana Santalova Thordarson :
    Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation
    Proceedings of the [xx]th Conference of Open Innovations Association FRUCT 2022 ARKIV
  • Xu Zhao, Shun Liu, Pan Gao, Hao Yu :
    Modelling an improved ship appointment system for lockage operations of waterway transport
    Computers & industrial engineering 2022 DOI / ARKIV
  • Hao Yu :
    Smart Logistics in Industry 5.0
    CRC Press 2025 DOI
  • Pan Gao, Wangmiao Du, Hao Yu, Xu Zhao :
    Corrigendum to “A two-stage decision-support system for floating debris collection in reservoir areas” [Comput. Ind. Eng. 185 (2023) 109865] (Computers & Industrial Engineering (2023) 185, (S036083522300709X), (10.1016/j.cie.2023.109685))
    Computers & industrial engineering 2025 DOI
  • Hao Yu :
    A Concise Guide to Optimization vs. Simulation in Decision Making
    2024
  • Hao Yu :
    Can an Industry-Led Infrastructure Development Strategy Facilitate Electric Truck Adoption in Green Logistics? Insights from a Case Study in Norway
    2024
  • Hao Yu :
    Truck Electrification: How Can an Industry-Driven Model Promote Charging Infrastructure Development?
    2024
  • Hao Yu :
    Decision Making with Optimization and Simulation
    2023

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