Mingzhou Jin

Professor

University of Tennessee

United States

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About

Professor Mingzhou Jin is a faculty member at the University of Tennessee, USA. His research areas include energy management in manufacturing, machine learning applications, environmental impacts, and supply chain optimization. He has published recent articles on topics such as carbon conversion technologies, scheduling problems in logistics, and assessing the effects of climate events on hydrological processes.

Articles (20)

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2025

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (1)

Jiafu Mao

Joint Faculty Professor

University of Tennessee

UNITED STATES

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Mingzhou Jin

Research Interests

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Articles (20)

Next-Level Energy Management in Manufacturing: Facility-Level Energy Digital Twin Framework Based on Machine Learning and Automated Data Collection

Earth's record-high greenness and its attributions in 2020

Is it necessary for the supply chain to implement artificial intelligence-driven sales services at both the front-end and back-end stages?

Techno-economic analysis and network design for CO₂ conversion to jet fuels in the United States

Evaluating the effects of heatwave events on hydrological processes in the contiguous United States (2003–2022)

An Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Batch Processing and Time-of-Use Electricity Prices

Automated storage and retrieval system design with variant lane depths

Comparative evaluation of highways and railroads using life-cycle benefit-cost analysis

Country-specific net-zero strategies of the pulp and paper industry

Disinfection robots scheduling and routing problem for healthy buildings

Additive manufacturing capacity allocation problem over a network

Can Food–Energy–Water Nexus Research Keep Pace with Agricultural Innovation?

Global fire modelling and control attributions based on the ensemble machine learning and satellite observations

Potential impacts of Fukushima nuclear wastewater discharge on nutrient supply and greenhouse gas emissions of food systems

Quality investment, inspection policy, and pricing decisions in a decentralized supply chain

Smart manufacturing maturity models and their applicability: a review

A framework for assessing investment costs of additive manufacturing

A framework to quantify mass flow and assess food loss and waste in the US food supply chain

Coffee supply chain planning under climate change

Domestic plant food loss and waste in the United States: Environmental footprints and mitigation strategies

Collaborators (1)

Jiafu Mao

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