Irina Neaga
University of Wales Trinity St David, Senior Lecturer, Dr.
Dr. Irina Neaga is a senior lecturer in the School of Engineering at the University of Wales Trinity St David, Swansea, United Kingdom. She does research informed teaching regarding global logistics, supply chain analysis, modelling and simulation addressing sustainability, resilience and risks. She has led the MBA programme within Plymouth Business School at University of Plymouth, Devon, United Kingdom where she worked as a lecturer. She has also worked for several years as a researcher for Loughborough University, School of Engineering and Business, United Kingdom on large-scale, strategic partnerships of manufacturing systems engineering, supply chain management and innovation through research, education and consultancy.
She has pursued in-depth research on advanced systems based on knowledge discovery, management, data mining and big data to support global sustainable logistics systems leading to publications in the Journal of Business Research and International Journal of Production Research as well as a book and chapters. She has an international multidisciplinary experience working in education, industry, and research consortia in Canada, Finland, Romania, United Kingdom, and The Netherlands, Finland.
She received the BEng/MSc in Computer Systems Engineering from “Gh. Asachi” Technical University, Iasi, Romania; and the PhD from Wolfson School of Mechanical and Manufacturing Engineering Loughborough University, United Kingdom.
Applying Internet of Things for developing Supply Chain Resilience: Covid-19 Case Study
This session aims to analyse and discuss the application and impacts of the Internet of Things (IoT) for supply chain resilience mitigating the consequences of a crisis such as Covid-19 pandemic. IoT are increasing visibility and transparency of collaborative logistics systems. The session will be based on developing of a case study related to the behaviour of supply chains during Covid-19. The case study will highlight a more effective disaster / crisis management of supply chains using IoT leading to improved resilience as well as robustness and efficiency. The session will conclude on the issues and further directions for the adoption of IoT and big data analytics services for enhanced resilience of supply chains and logistics systems.
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