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Diana Rita Ramos Jorge

Assistant Professor

Instituto Superior Técnico

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Diana Jorge is an Assistant Professor of Operations and Logistics at the Department of Engineering and Management, Instituto Superior Técnico (IST), University of Lisbon. She has held a PhD in Transportation Systems from the University of Coimbra since 2014. Her research focuses on modeling and solving real-world challenges in transportation and logistics systems, with particular emphasis on waste collection routing and urban logistics routing, using operations research methods. A central aspect of her work is the integration of sustainability objectives, including economic, environmental, and social dimensions. Diana has co-authored several peer-reviewed articles published in international indexed journals and has participated as a team member in five research projects—three completed and two ongoing. She is currently the coordinator of LL@Green – Optimizing towards Sustainable Last-Mile Logistics, a project dedicated to advancing sustainable last-mile logistics.


Keywords: Operations Research | Metaheuristics | Logistics

Publications

Research Groups

Projects

GLOBE - Green Two-Echelon LOcation Routing Problem with Eco-Conscious Customers' BEhavior

The exponential growth of e-commerce has intensified the environmental and operational challenges of last-mile delivery (LMD), contributing significantly to urban congestion, energy consumption, and CO₂ emissions. In response, GLOBE introduces an innovative two-echelon location-routing model designed to optimize LMD through the integration of eco-conscious customer behavior and sustainable transportation modes.

WSmart Route+ : Towards a Smart Waste Collection Route Planning System

The WSmart Route+ project studies a new paradigm on smart waste management. Data analytics combined with route optimization will be explored to improve waste collection operation supporting the adoption of a smart waste collection based on dynamic routes as opposed to the traditional blind collection that is based on static routes. Everyday thousands of kilometres are travelled to collect tonnes of waste with high uncertainty on the amount of waste in each bin, a fact that can lead to inefficient collection operations where resources are used to collect often a small amount of waste.