Wanying CHEN | Smart Warehousing | Best Paper Award

Published on by Academic Achievements

Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Best Paper Award

Assoc. Prof. Dr. Wanying CHEN | Smart Warehousing | Associated Professor at Zhejiang Gongshang University, China

Assoc. Prof. Dr. Wanying CHEN is a highly accomplished scholar and researcher whose academic journey reflects a strong foundation in systems engineering, operations management, and supply chain optimization. She holds a Ph.D. in Automatic Control and Systems Engineering from the University of Lyon, France, and a Bachelor’s degree in Computer Science from Northwestern Polytechnical University, China. Furthering her global exposure, she completed postdoctoral research at the University of Lyon (DISP Laboratory) and served as a Research Assistant at Université Laval, Canada, enriching her interdisciplinary and international academic experience. Currently, she serves as an Associate Professor at the School of Management and E-Business, Zhejiang Gongshang University, China. Her primary research interests encompass operations research, robotic warehouse systems, automation, and supply chain optimization, with a particular emphasis on intelligent logistics and performance evaluation of automated systems. Dr. Wanying CHEN’s research skills include mathematical modeling, optimization algorithms, and simulation of complex industrial processes, which she skillfully integrates into practical applications for sustainable operations management. Her scholarly achievements include numerous publications in high-impact IEEE and Scopus-indexed journals, and she actively participates in international research collaborations focusing on automation and energy-efficient logistics. Dr. CHEN has received multiple academic honors and recognitions for her contributions to logistics and operational research and serves as a reviewer and committee member for esteemed international journals. Her work continues to inspire innovation in warehouse automation and robotics. In conclusion, Assoc. Prof. Dr. Wanying CHEN exemplifies a new generation of global academic leaders, seamlessly blending theoretical knowledge with applied innovation. Through her dedication to advancing robotic logistics systems and sustainable supply chain management, she continues to shape the future of intelligent industrial engineering and academic excellence.

Profile: Google Scholar | ORCID

Featured Publications

  1. Chen, W. (2025). The role of energy consumption in robotic mobile fulfillment systems: Performance evaluation and operating policies with dynamic priority. Omega.

  2. Chen, W. (2024). Robotic warehouse systems considering dynamic priority. Transportation Research Part E: Logistics and Transportation Review.

  3. Chen, W. (2024). A data-driven spatially-specific vaccine allocation framework for COVID-19. Annals of Operations Research.

  4. Chen, W. (2024). Does battery management matter? Performance evaluation and operating policies in a self-climbing robotic warehouse. European Journal of Operational Research.

  5. Chen, W. (2023). Warehouses without aisles: Layout design of a multi-deep rack climbing robotic system. Transportation Research Part E: Logistics and Transportation Review.

  6. Chen, W. (2023). Quality information disclosure and advertising strategy in a supply chain. International Journal of Production Research.

  7. Chen, W. (2022). Analysis and design of rack-climbing robotic storage and retrieval systems. Transportation Science.

 

Tássia Bolotari Affonso – Logistics – Best Scholar Award

Published on by Academic Achievements

Tássia Bolotari Affonso - Logistics - Best Scholar Award

Federal University of Minas Gerais - Brazil

Professional Profiles

Early Academic Pursuits

Tássia Bolotari Affonso's academic journey began with a strong foundation in engineering. She completed her Bachelor's and Master's degrees in Production Engineering at the prestigious Universidade Federal de Minas Gerais (UFMG). This provided her with a comprehensive understanding of production systems and logistics, laying the groundwork for her future research endeavors in the field.

Professional Endeavors

Building upon her academic achievements, Tássia Bolotari Affonso is currently pursuing a doctoral degree in Production Engineering at UFMG. Alongside her studies, she is actively engaged in research focusing on demand forecasting and spare parts inventory management. Her dedication to advancing knowledge in the field of logistics and large-scale systems has positioned her as a promising researcher and scholar.

Logistics is the backbone of modern commerce, encompassing the intricate processes involved in managing the flow of goods, services, and information from point of origin to consumption. It involves meticulous planning, coordination, and execution to ensure the seamless movement of products across supply chains.

Contributions and Research Focus On Logistics

Tássia Bolotari Affonso's research is centered around optimization of logistics and large-scale systems. Specifically, she is focused on demand forecasting and inventory management of spare parts. Her work integrates methodologies from Operations Research, Stochastic Inventory Control, Discrete Event Simulation, and Demand Forecasting to develop innovative solutions for optimizing supply chain operations. By addressing critical challenges in logistics and inventory management, Tássia's research contributes to enhancing efficiency and reducing costs for organizations operating in diverse industries.

Accolades and Recognition

While Tássia Bolotari Affonso's career is still in its early stages, her contributions to the field have not gone unnoticed. Her research endeavors have garnered attention within the academic community, earning her recognition for her innovative approaches to logistics optimization and inventory management. As she continues to make significant contributions to the field, it is anticipated that she will receive further accolades and recognition for her work.

From sourcing raw materials to delivering finished goods to customers, logistics plays a critical role in optimizing efficiency, minimizing costs, and enhancing customer satisfaction. Key components of logistics include transportation, warehousing, inventory management, and supply chain optimization. Transportation involves selecting the most efficient modes of transport, whether by road, rail, air, or sea, to move goods swiftly and cost-effectively.

Impact and Influence

Despite her early career stage, Tássia Bolotari Affonso's research has the potential to have a significant impact on the field of logistics and supply chain management. By developing practical solutions to complex problems, she has the opportunity to influence industry practices and contribute to the advancement of knowledge in the field. Through her work, Tássia aims to create positive change and drive improvements in supply chain operations, ultimately benefiting organizations and consumers alike. Warehousing entails storing and managing inventory in strategically located facilities to facilitate timely order fulfillment and minimize stockouts. Inventory management focuses on maintaining optimal inventory levels to meet demand while minimizing carrying costs and obsolescence

Legacy and Future Contributions

Looking ahead, Tássia Bolotari Affonso's future contributions to the field of production engineering and logistics are promising. With her passion for research and dedication to solving real-world problems, she is poised to make substantial contributions to the optimization of supply chain operations. As she progresses in her academic and professional journey, Tássia's legacy will be defined by her commitment to advancing knowledge and driving innovation in the field of logistics and production engineering.

Notable Publications

A new hybrid forecasting method for spare part inventory management using heuristics and bootstrapping 2024

Spare parts inventory management: a new hybrid approach 2020