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Bilde av Yu, Hao
Bilde av Yu, Hao
Associate Professor/Program Leader Department of Industrial Engineering hao.yu@uit.no +4776966328 95126897 You can find me here

Hao Yu

Job description

Associate Professor of Industrial Engineering

Program Leader of Master in Industrial Engineering

  • 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
  • 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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
    Lecture Notes in Electrical Engineering 2024 ARKIV / DOI
  • 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 ARKIV / 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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
    Springer 2024 ARKIV / DOI
  • 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
    Springer 2024 ARKIV / DOI
  • 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. February 2024 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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
  • Hao Yu, Xu Sun :
    Can an Industry-Led infrastructure development strategy facilitate electric truck Adoption?
    Transportation Research Part D: Transport and Environment 2024 ARKIV / DOI
  • 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 2024 DOI
  • 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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 2024 ARKIV / DOI
  • 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 ARKIV / DOI
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    Measuring the Effectiveness of AI-Enabled Chatbots in Customer Service Using AnyLogic Simulation
    Springer 2023 ARKIV / DOI
  • Sujan Maharjan, Wei Deng Solvang, Hao Yu :
    A General Framework for Epidemic Logistics Management
    Springer 2023 ARKIV / DOI
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    A Digital Reverse Logistics Twin for Improving Sustainability in Industry 5.0
    Springer 2023 ARKIV / DOI
  • 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 ARKIV / DOI
  • Natalia Batool Khan, Wei Deng Solvang, Hao Yu :
    Customizing Smart Warehouse Management for Large Scale Production Industries
    IEEE conference proceedings 2023 ARKIV / DOI
  • 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 ARKIV / DOI
  • Alexander Andronov, Diana Santalova Thordarson, Hao Yu :
    On an Interrupted Bivariate Renewal Process and Its Applications
    Automatic control and computer sciences 2023 ARKIV / DATA / DOI
  • 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 ARKIV / DOI
  • 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 ARKIV / 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 ARKIV / DOI
  • Niloofar Jafari, Mohammad Azarian, Hao Yu :
    Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?
    Logistics 2022 ARKIV / DOI
  • Eugenia Ama Andoh, Hao Yu :
    A Two-Stage Decision-Support Approach for Improving Sustainable Last-Mile Cold Chain Logistics Operations of COVID-19 Vaccines
    Annals of Operations Research 2022 ARKIV / DOI
  • 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 ARKIV / DOI
  • Hao Yu :
    Modeling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption
    The International Journal of Advanced Manufacturing Technology 2022 ARKIV / DOI
  • 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
  • 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 ARKIV / DOI
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    System Integration for Smart Reverse Logistics Management
    IEEE (Institute of Electrical and Electronics Engineers) 2022 DOI
  • Hao Yu, Xu Sun, Wei Deng Solvang, Gilbert Laporte :
    Solving a Real-World Urban Postal Service Network Redesign Problem
    Scientific Programming 2021 ARKIV / DOI
  • Xu Sun, Eugenia Ama Andoh, Hao Yu :
    A Simulation-Based Analysis for Effective Distribution of COVID-19 Vaccines: A Case Study in Norway
    Transportation Research Interdisciplinary Perspectives (TRIP) 2021 ARKIV / DOI
  • Mohammad Azarian, Hao Yu, Wei Deng Solvang :
    A Simulation-Based Approach for Improving the Performance of a Manufacturing System
    IEEE conference proceedings 2021 DOI
  • Mohammad Azarian, Hao Yu, Wei Deng Solvang :
    Integrating Additive Manufacturing into a Virtual Industry 4.0 Factory
    Lecture Notes in Electrical Engineering 2021 DOI
  • Xu Sun, Hao Yu, Wei Deng Solvang :
    Industry 4.0 and Sustainable Supply Chain Management
    Lecture Notes in Electrical Engineering 2021 DOI
  • Hao Yu, Wei Deng Solvang :
    A Fuzzy-Stochastic Multi-Objective Model for Sustainable Planning of a Closed-Loop Supply Chain Considering Mixed Uncertainty and Network Flexibility
    Journal of Cleaner Production 2020 ARKIV / DOI
  • Hao Yu :
    Can an Industry-Led Infrastructure Development Strategy Facilitate Electric Truck Adoption in Green Logistics? Insights from a Case Study in Norway
    2024 SAMMENDRAG
  • Hao Yu :
    A Concise Guide to Optimization vs. Simulation in Decision Making
    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
  • Hao Yu :
    Slik kan posttilbudet i Narvik bli bedre
    13. November 2022 FULLTEKST
  • Hao Yu :
    Med matematikk til Post i butikk i Narvik
    2022 SAMMENDRAG
  • Eugenia Ama Andol, Hao Yu :
    Supply Chain Challenges for Effective COVID-19 Vaccine Distribution
    2021

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    Research interests

    I am a tenured Associate Professor and Program Leader of Industrial Engineering (MSc) at UiT The Arctic University of Norway. My research interests are real-problem-driven model development to solve complex decision-making problems in sustainable supply chain, reverse logistics, location and network design, service systems, scheduling, and smart logistics in Industry 4.0/5.0. These optimization/simulation models can be used to minimize carbon footprints and environmental risks of logistics systems and supply chains, to improve the service level and cost efficiency of postal service networks, to locate the charging stations for electric/hydrogen vehicles, to autonomously configure reconfigurable manufacturing systems, to improve the lockage efficiency of a water conservancy project, and so forth.

    Currently, my research focuses on the combination of predictive analytics, prescriptive analytics, and descriptive analytics in an Industry 5.0 enabled Smart Digital Logistics Twin that can be used in, for example, reverse logistics, humanitarian/epidemic logistics, and reconfigurable remanufacturing systems. My current project includes:

    1, Industry 5.0 enabled Smart Logistics: A Global Perspective (2023-2026), funded by the Norwegian Directorate for Higher Education and Skills (HK-dir) under the UTFORSK program.

    2, Innovative Green Roofs through a Circular Economy Model (2022-2023), funded by Innovation Norway under EEA and Norway Grants 2014-2021.

    I have led or been a key member of several projects at both national and international levels, e.g., Idea Factory, funded by UiT; Optimization / Optimization of Digital, Customer-Focused, Sustainable and Low-Carbon Logistics and Transportation Network in Industry 4.0 (OptiLog 4.0) funded by RCN; TARGET funded by EU NPA Program; and I3 Innovation and Industrial Internet funded by EU Interreg Nord Program, etc. In addition, I am a member of the Norwegian Operations Research Society (NORS), the EURO Working Group on Sustainable Supply Chain (EWGSSC), the EURO Working Group on Location Analysis (EWGLA), and the EURO Working Group on Practice of OR.

    Currently, I serve as an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, and Editorial Board Member of Science Progress and Logistics, among others. I am also a frequent reviewer of more than 60 International journals including Nature Communications;  Environmental Science & Technology; Environmental Research; Journal of Cleaner Production; Omega; IEEE Transactions on Engineering Management; IEEE Transactions on Fuzzy Systems; Computers & Operations Research; Annals of Operations Research; Computers & Industrial Engineering; Applied Mathematical Modeling; International Journal of Production Economics; International Journal of Production Research; Transportation Research Part D and E; Engineering Optimization; etc.

    Teaching

    Course coordinator and lecturer of INE-3800 Operations Research 1 (Postgraduate level, from 2022); Course information: https://uit.no/utdanning/emner/emne?p_document_id=765736

    Course coordinator and lecturer of INE-3605 Project Management (Postgraduate level, from 2015); Course information: https://uit.no/utdanning/emner/emne?p_document_id=459309

    Course coordinator and main lecture of TEK-6005 Industry 4.0 (EVU course, 2020); Course information: https://uit.no/utdanning/emner/emne/682881/tek-6005

    Main lecturer of INE-3609 Supply Chain Management (Postgraduate level, 2019 and 2022)

    Course coordinator and lecturer of Energy Technology (Undergraduate level, 2014)

    Researcher profile in Cristin
    ResearchGate
    ORCID: https://orcid.org/0000-0002-2091-5983

    Member of research group

    ArcLog   Norsk innhold Intelligent Manufacturing and Logistics   English content

    Member of project

    Industry 5.0 enabled Smart Logistics    English content