Mathematics Webinar | Theoretical and Applied Mathematics in Supply Chain Management
the chair
In today's globalised economy, sustainable supply chain and logistics systems are essential for meeting the demands of a rapidly evolving market while addressing environmental and social responsibilities. The field has seen remarkable progress as companies, researchers, and policymakers work to develop frameworks and models that balance efficiency with sustainability. With increased awareness of the environmental impact of traditional supply chains, there is a pressing need to innovate in areas such as transportation systems, network design, and inventory management.
This session brings together leading experts who will present cutting-edge research and methodologies for building resilient, efficient, and environmentally conscious supply chains. Key topics include performance assessment frameworks for sustainable freight transportation, multi-objective closed-loop supply chain network design, and inventory location models. These themes are not only relevant for minimising resource consumption and reducing emissions but also essential for enhancing the responsiveness and adaptability of supply networks in uncertain market conditions.
By exploring advanced algorithms, multi-objective optimisation, and closed-loop approaches, today's webinar aims to provide valuable insights into achieving sustainability without compromising operational efficiency. Together, we will delve into the latest advancements that are shaping the future of sustainable supply chain and logistics systems.
Date: 9 December 2024
Time: 2:00 pm UK | 3:00 pm CET | 9:00 am EST | 10:00 pm CST Asia
Webinar ID: 861 5483 9449
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Prof. Elias Olivares Benitez
Faculty of Engineering, Universidad Panamericana, Mexico City, Mexico;
Elias Olivares-Benitez has been a Professor of Industrial Engineering at Universidad Panamericana, Mexico, since 2016. He has a Bachelor’s degree in Metallurgical Engineering from Instituto Politecnico Nacional. He has a Master’s degree in Industrial Engineering from Arizona State University. He has a Master’s degree in Manufacturing Systems and a Doctor’s degree in Engineering from Tecnologico de Monterrey. He worked as a Process and Quality Engineer in Steelmaking, Heat Treatment, and Quality Labs at TENARIS-TAMSA (Veracruz). He was a professor of Industrial Engineering at Tecnologico de Monterrey (Aguascalientes Campus) and UPAEP University (Puebla). He has research interests in optimization, metaheuristics, supply chain management, and sustainability. He has a number of publications in several international journals. He is the Ex-President of the Mexican Society of Operations Research (SMIO) and the organizer of its annual meeting in 2017 and the Latin-Iberoamerican Conference (CLAIO) in 2024.
Dr. Devendra Kumar Pathak
Faculty of Operations Management & Decision Sciences, Indian Institute of Management, Kashipur, India;
Dr. Devendra Kumar Pathak received a Ph.D. degree in operations and supply chain management from the Indian Institute of Technology (IIT) Delhi, New Delhi, India, in 2020. Dr. Devendra is currently an Assistant Professor of operations management and decision sciences with the Indian Institute of Management (IIM) in Kashipur, India. His research papers have appeared in several leading international journals, such as Transportation Research Part E: Logistics and Transportation Review, IEEE Transactions on Engineering Management, Technological Forecasting and Social Change, International Journal of Production Research, Transportation Research Part D: Transport and Environment, and Systems Research and Behavioural Science. His research interests include performance assessment and risk management for sustainable supply chain management, supply chain innovation and resilience, multi-criteria decision-making, and technology adoption for sustainable and resilient organizations.
Prof. Pablo A Miranda Gonzalez
Department of Industrial Engineering, Universidad Católica del Norte, Antofagasta, Chile;
Prof. Pablo A. Miranda Gonzalez is a Faculty Member at the Department of Industrial Engineering, Universidad Católica del Norte, in Antofagasta (Chile). He obtained a Bachelor’s degree in Industrial Engineering, from Pontificia Universidad Católica de Chile (2000). Additionally, he obtained a Master of Science degree and a PhD in Engineering Sciences from Pontificia Universidad Católica de Chile (2004), both with a focus on Logistics and Operations Research.
During his career, he has researched, consulted, and taught (graduates and undergraduates), mainly in the fields of logistics, supply chain, operations research, and mathematical programming. His research activities have been focused on two main lines of research: i) supply chain network design and ii) vehicle routing problems for waste collection. Another two recent fields are agri-food supply chain optimization and project scheduling problems. His research activities have resulted in several scientific publications in top international journals (TR Part E, EJOR, C&OR C&IE, IJPE, and IJPR, among others), and several research projects funded by institutions from Chile, Mexico, Colombia, and Italy.
Sponsors and Partners
organizer
The webinar provided valuable insights into the application of theoretical and mathematical techniques in supply chain management. The presentations were exceptionally informative and drawn from research published in prestigious journals. Key techniques, including epsilon constraints, the fuzzy evidential reasoning algorithm, and Benders decomposition, were explained clearly, offering a practical understanding and relevance. This session highlighted the vital role of advanced mathematical methods in addressing complex supply chain challenges.
The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.
Theoretical and Applied Mathematics in Supply Chain Management
Guest Editor: Dr. Xiang Song
Deadline for manuscript submissions: 30 June 2025