Ying Xie

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Professor in Supply Chain Analytics

Cranfield University Cranfield School of Management
Country flagUnited Kingdom

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About

Professor Ying Xie is a faculty member at Cranfield University's Cranfield School of Management in the United Kingdom. His research primarily focuses on supply chain analytics, eco-efficiency, and the integration of machine learning in operational processes. Recent articles include assessments of sustainable practices in various industries, the impact of social media on cryptocurrency markets, and strategies to enhance operational resilience in primary care services. Professor Xie's work contributes significantly to advancing knowledge in supply chain management and the circular economy.

Recent Grants

Grant: Open

EPSRC Centre for Doctoral Training in Net Zero Aviation

Open Date: 2025-03-31

Close Date: 2032-09-29

Grant: Open

UK National Clean Maritime Research Hub

Open Date: 2023-08-31

Close Date: 2027-03-30

Grant: Close

To develop an intelligent novel platform that assesses planned events to make recommendations to reduce the environmental impact and verify event-based greenhouse gas emission levels and align these to sector standards.

Open Date: 2023-08-31

Close Date: 2026-02-18

Grant: Close

Multi-hazard and risk informed system for Enhanced local and regional Disaster risk management

Open Date: 2022-10-01

Close Date: 2025-09-30

Grant: Close

MEDiate Multi-hazard and risk informed system for enhanced local and regional disaster risk management

Open Date: 2022-09-30

Close Date: 2025-09-29

Articles (10)

Year:

2026

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

Collaborators (5)

Patrick Verdin

Senior Lecturer in Energy Fluid Dynamics

Cranfield University

UNITED KINGDOM
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Liz Breen

Professor of Health Service Operations

University of Bradford

UNITED KINGDOM
View details

Andrew Oakey

University of Southampton

UNITED KINGDOM
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Yuanjun Feng

University of Liverpool

UNITED KINGDOM
View details

Khalifa Aliyu Ibrahim

Cranfield University

UNITED KINGDOM
View details
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