Lecturer at Northeast Forestry University, China
Dong Jingfeng is a seasoned academic and professional in the field of logistics and supply chain management with over two decades of experience. Currently serving as a lecturer at the Department of Logistics Engineering, Northeast Forestry University, he has combined academic prowess with practical industry insights to make significant contributions to the development and optimization of supply chain systems in China. With international experience as a visiting scholar at the University of Texas at Dallas and several years of part-time programming roles in the logistics software sector, Dong has effectively bridged the gap between theory and practice. His extensive research spans reverse logistics, pricing models in closed-loop supply chains, and energy-saving simulations, establishing him as a respected voice in logistics innovation and strategic planning.
Profile
Scopus
Education
Dong holds a PhD in Mechanical and Electronic Engineering from the Harbin Institute of Technology (2008), where he also completed his Master’s degree in Technical Economics and Management in 2002. He began his academic journey with a Bachelor’s degree in Thermal Engineering from Harbin University of Science and Technology in 1996. This solid educational foundation has equipped him with the technical and economic understanding necessary for tackling complex logistics challenges and has shaped his analytical approach to logistics systems design and optimization.
Experience
Dong’s professional journey spans more than 20 years, blending academic instruction with real-world logistics planning and software development. He began his career as a designer in the industrial furnace field with Northeast Light Alloy Co., Ltd, gaining crucial hands-on experience in engineering operations. From 2003 to 2005 and again from 2009 to the present, he worked part-time as a programmer for Harbin-based companies, integrating software capabilities with logistics solutions. Since 2008, he has served as a full-time lecturer at Northeast Forestry University, where he teaches and mentors future logistics engineers. His international tenure as a visiting scholar in the United States further broadened his perspective on global logistics systems, enabling cross-border collaboration and comparative research on logistics strategies.
Research Interest
Dong’s research interests lie primarily in logistics system planning, supply chain management, and closed-loop logistics operations. He focuses on pricing decisions and strategic planning under uncertainty, especially in reverse logistics systems and energy-efficient logistics park design. His work frequently integrates system dynamics modeling, optimization algorithms, and multi-criteria decision-making techniques such as the grey correlation TOPSIS method. Through his research, Dong aims to improve sustainability and cost-efficiency in logistics systems while addressing modern challenges such as customer perception, return rate variability, and recycling quality.
Award
Throughout his career, Dong has earned recognition for his innovative contributions to logistics engineering. His selection as a visiting scholar at the University of Texas at Dallas is a testament to his international reputation and academic excellence. His sustained research output and collaboration in top-tier journals further underscore his impact on the field. Additionally, his dual roles in academia and industry have often been highlighted by his institution as exemplary in fostering practical knowledge and real-world problem-solving skills in logistics.
Publication
Dong has authored several influential publications in respected journals, reflecting his diverse research in logistics and operations management. Key publications include:
-
“Research on closed-loop supply chain pricing decision-making under uncertainty of customer perceived value and recycling quality,” Computer Integrated Manufacturing Systems, 2021 – cited in numerous studies on pricing strategies in reverse logistics.
-
“Pricing and strategy selection in a closed-loop supply chain under demand and return rate uncertainty,” 4OR-Q Journal of Operations Research, 2022 – widely referenced for integrating uncertainty in closed-loop systems.
-
“Optimization model of multi-echelon reverse logistics network design for production return,” Computer Integrated Manufacturing Systems, 2008 – foundational work in reverse logistics network optimization.
-
“Inventory control model based on external and interior reverse logistics,” Journal of Harbin Institute of Technology (New Series), 2009 – cited for its approach to dual-source inventory control.
-
“A Study on System Dynamics Simulation of Energy-saving System in Logistics Parks,” Forest Engineering, 2012 – contributed to sustainability modeling in logistics.
-
“Research on site selection decision of distribution type logistics park based on the grey correlation TOPSIS method,” 2012 International Conference on Intelligent Systems Design and Engineering Applications – known for its practical application of decision-making models in logistics infrastructure.
Additional collaborative research and conference contributions further bolster his profile in quantitative logistics analysis.
Conclusion
Dong Jingfeng stands out as a scholar who seamlessly integrates academic research with practical industry application. His dedication to advancing logistics systems through evidence-based models and simulation tools has contributed significantly to both educational and operational aspects of supply chain management in China. With a strong international outlook, continuous research output, and a commitment to mentoring the next generation of engineers, Dong exemplifies the qualities worthy of recognition in an academic and professional award setting. His career reflects a consistent pursuit of innovation, efficiency, and sustainability in logistics, making him a compelling candidate for this nomination.