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Hao Yu

Professor

UiT Norges arktiske universitet - Campus Narvik

Norway

Research Interests

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About

Hao Yu is an Associate Professor at UiT Norges arktiske universitet - Campus Narvik in Norway. His research focuses on various areas including performance evaluation in the telecommunication industry, logistics and transportation solutions, and machine learning applications in retail forecasting. Additionally, he explores topics such as additive manufacturing, urban rail transit networks, and decision-support frameworks in reverse logistics. His recent contributions emphasize sustainability and innovation in logistics and transportation systems.

Articles (33)

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Collaborators (4)

Xu Sun

UiT The Arctic University of Norway

NORWAY

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Kang Li

Associate Professor

Rutgers New Jersey Medical School

UNITED STATES

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Wei Deng Solvang

Professor

UiT The Arctic University of Norway

NORWAY

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Andrea Appolloni

Docenti di ruolo di IIa fascia

University of Rome Tor Vergata

ITALY

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Hao Yu

Research Interests

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About

Articles (33)

Resilient lock operations via emergency water-land transshipment: A two-stage optimization framework

An adaptive large neighborhood search with dynamic exit reassignment for guided multi-story hospital fire evacuation

How can artificial intelligence enhance reverse logistics practices: a systematic literature review and research agenda

An integrated framework for dynamic risk coupling and evaluation in railway cold chain transport

Electric Vehicle Selection Using the Technique of Precise Order Preference

Multi-objective adaptive large neighborhood search for multi-scenario robust co-scheduling of locks, berths and trucks

A Hybrid Heuristic Approach for Solving the Lock-Channel-Quay Co-Scheduling Problem Considering Water Discharge

Can Electric Trucks Be a Viable Green Logistics and Transportation Solution? Modeling a Joint Logistics-and-Charging-Infrastructure Network Design Problem

Performance Evaluation of Operators in the Telecommunication Industry

Data‐Driven Approach for Passenger Assignment in Urban Rail Transit Networks: Insights From Passenger Route Choices and Itinerary Choices

Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer

Ship appointment scheduling for lockage operations of waterway transport with non-punctual arrivals

Platooning as a Service: Truck Platooning With Multi-Source Heterogeneous Trucks

Comparative Insights Into E‐Scooter Usage Prediction Through Machine Learning and Deep Learning Techniques

Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs

Railway cold chain freight demand forecasting with graph neural networks: A novel GraphARMA-GRU model

A two-level decision-support framework for reverse logistics network design considering technology transformation in Industry 4.0: a case study in Norway

Intelligent decision modeling for optimizing railway cold chain service networks under uncertainty

Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization

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

New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises Using the MCDM Technique

A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines

Towards smart layout design for a reconfigurable manufacturing system

Baggage dissociation for sustainable air travel: Design study of ground baggage distribution networks

Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment

A two-stage decision-support system for floating debris collection in reservoir areas

Modeling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption

Modelling an improved ship appointment system for lockage operations of waterway transport

Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda

Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

A simulation-based analysis for effective distribution of COVID-19 vaccines: A case study in Norway.

Solving a Real-World Urban Postal Service System Redesign Problem

Collaborators (4)

Xu Sun

Kang Li

Wei Deng Solvang

Andrea Appolloni

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