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Wei Deng Solvang

Professor

UiT The Arctic University of Norway

Norway

Research Interests

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About

Wei Deng Solvang is a Professor at UiT The Arctic University of Norway. His research interests focus on sustainable logistics, reverse logistics, and the application of Industry 4.0 technologies. Recent publications include studies on electric trucks in green logistics, reverse logistics for medical waste management during epidemics, and decision-support frameworks in logistics network design.

Articles (13)

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2026

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2026

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2025

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2024

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2022

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2022

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (2)

Xu Sun

UiT The Arctic University of Norway

NORWAY

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Hao Yu

Professor

UiT Norges arktiske universitet - Campus Narvik

NORWAY

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Wei Deng Solvang

Research Interests

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Articles (13)

A data-driven predictive modelling of delousing treatment events in Norwegian salmon farming using machine learning

A Conceptual Framework Toward the Sustainable Management of the Aquaculture Supply Chain: Insights and Future Research Directions

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

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

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

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

Solving a Real-World Urban Postal Service System Redesign Problem

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility

A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility

A stochastic network design problem for hazardous waste management

A Stochastic Network Design Problem for Hazardous Waste Management

Collaborators (2)

Xu Sun

Hao Yu

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