PhD Student at Chaoyang University of Technology in Taiwan.
Quoc-Hieu Phan is a Ph.D. student at Chaoyang University of Technology in Taiwan and a former lecturer in Ho Chi Minh City, Vietnam. His academic focus lies in the intersection of logistics, AI, and knowledge management, driven by the growing complexity and sustainability demands of global supply chains. With a strong foundation in applied research, he has published in both Q1 and Q2 journals, positioning himself as an emerging voice in logistics innovation. His work leverages neutrosophic logic and decision-making models to address pressing challenges in reverse logistics and ESG implementation within emerging economies. With a clear orientation toward sustainability and operational intelligence, Phan’s research continues to bridge the gap between theoretical modeling and practical application, earning him recognition within the academic community.
Professional Profile
ORCID
Education
Quoc-Hieu Phan is currently pursuing his doctoral studies at Chaoyang University of Technology, Taiwan. His academic progression reflects a strong commitment to both teaching and research. Prior to enrolling in the Ph.D. program, he served as a lecturer in Vietnam, where he developed expertise in logistics systems, management science, and interdisciplinary problem-solving frameworks. His formal education is complemented by his practical experiences and early involvement in academic publishing. Although specific undergraduate and master’s credentials are not detailed, his role as a university lecturer and active researcher indicates a robust educational background grounded in logistics, operations research, and decision sciences. His doctoral training at Chaoyang University of Technology has enabled him to explore advanced modeling techniques such as Neutrosophic and DEMATEL frameworks, particularly in the context of sustainability and supply chain optimization.
Experience
Before embarking on his Ph.D. journey, Quoc-Hieu Phan served as a lecturer in logistics and management in Ho Chi Minh City, Vietnam. His teaching roles allowed him to mentor undergraduate students, design logistics-focused curricula, and supervise early-stage research projects. This teaching experience enriched his research, helping him stay grounded in real-world logistics problems faced by emerging economies. His academic exposure transitioned into high-quality research outputs upon joining Chaoyang University of Technology, where he has focused intensively on sustainability and operational challenges in logistics. Phan’s practical insight into Southeast Asian logistics infrastructure and policy has played a crucial role in shaping his scholarly contributions. His dual engagement in education and research enables him to maintain a balance between theoretical advancement and application-oriented innovation.
Research Focus
Quoc-Hieu Phan’s research centers on sustainable logistics, reverse logistics optimization, knowledge sharing frameworks, and the integration of artificial intelligence into supply chain design. His methodological toolkit includes Neutrosophic logic, Delphi methods, and the DEMATEL approach, which he applies to multi-criteria decision-making problems. A distinguishing feature of his work is the focus on ESG (Environmental, Social, and Governance) dimensions of logistics—particularly in emerging economies where sustainability transitions are both urgent and complex. His studies aim to identify critical barriers and propose robust, adaptive frameworks for strategic planning and policy design. Through his research, Phan contributes to the advancement of resilient and environmentally responsible supply chains, offering both theoretical innovation and actionable insights. His work stands at the confluence of computational intelligence, sustainability science, and logistics operations.
Publication Top Notes
Title: Towards sustainable logistics in emerging economies: Identifying ESG barriers using newtrosophic delphi-dematel model
Authors: Quoc-Hieu Phan; Thanh-Ngan Le; Phi-Hung Nguyen; Lan-Anh Thi Nguyen; Tra-Giang Vu
Journal: Journal of Open Innovation: Technology, Market, and Complexity
Summary: This paper addresses the lack of structured ESG (Environmental, Social, Governance) strategies in the logistics sector of emerging economies. Using the Neutrosophic Delphi-DEMATEL model, the authors identify critical ESG barriers that hinder sustainable logistics implementation. This hybrid decision-making model allows for uncertainty, fuzziness, and expert-driven feedback loops, leading to a prioritized set of challenges and corresponding intervention pathways. The paper offers a systemic approach to ESG integration, contributing to policymaking and sustainable supply chain redesign in emerging markets.
Authors: Thanh-Ngan Le; Quoc-Hieu Phan; Phi-Hung Nguyen; Lan-Anh Thi Nguyen
Repository: Zenod
Title: Rethinking Reverse Logistics: Neutrosophic Strategies for Warehouse Management Challenges
Authors: Thanh-Ngan Le; Quoc-Hieu Phan; Phi-Hung Nguyen; Lan-Anh Thi Nguyen
Repository: Zenodo
Summary: This article explores reverse logistics challenges in warehouse environments and proposes neutrosophic logic-based solutions for strategic decision-making. The authors model uncertain conditions in warehouse operations, such as product returns, restocking complexities, and space utilization inefficiencies. Their neutrosophic framework improves responsiveness and resilience in reverse logistics systems by quantifying uncertainty and offering flexible decision alternatives. The research has practical implications for warehouse managers aiming to enhance efficiency in post-consumer logistics.
Conclusion
This article explores reverse logistics challenges in warehouse environments and proposes neutrosophic logic-based solutions for strategic decision-making. The authors model uncertain conditions in warehouse operations, such as product returns, restocking complexities, and space utilization inefficiencies. Their neutrosophic framework improves responsiveness and resilience in reverse logistics systems by quantifying uncertainty and offering flexible decision alternatives. The research has practical implications for warehouse managers aiming to enhance efficiency in post-consumer logistics.
