Logistics and Supply Chain
This area of concentration deals with the management and modeling of conventional and intelligent logistics operations, based on simulation, optimization, analysis and evaluation of logistics activities and the supply chain, with a focus on adding value activities. Thus, the area uses theoretical and practical tools to deal with highly dynamic environments and uncertainties, with emphasis on competitiveness, performance, innovation, sustainability, circularity and clean technologies.
Lines of Research
Logistics Performance Management: This line intends to develop theoretical and practical bases as well as analysis tools for the measurement, evaluation and maturity analysis of conventional and intelligent logistics systems supported by the innovative technologies of industry 4.0 and electronic commerce, respecting the new health protocols, considering sustainable demands, and offering solutions that add value to organizations in highly dynamic environments with uncertainties.
- Logistics Maturity Models
- Logistics Performance Evaluation Models
- Logistics Risks
- Logistics 4.0
Management and Evaluation of Logistics and Sustainable Chains: This line investigates aspects of management and evaluation related to logistics as well as value and supply chains. Through the development of management and evaluation models, methods and tools, the aim is to improve the application of circular economy concepts and the efficient use of natural resources, focusing on the sustainability triple bottom line. Thus, the development of increasingly sustainable chains is sought by analyzing the chains from the perspective of reverse logistics, in a vision of circularity, reintroduction of solid waste and meeting the demands of stakeholders.
- Circular Economy
- Logistics and Sustainability
- Sustainable Supply Chain Management
- Green Supply Chain Management
Modeling and Management of Intelligent Logistics Systems: This line promotes the integration of advanced concepts, technologies and methods to support operational decision making (based on modeling, simulation, optimization and/or data analysis) for the management of logistics systems and supply chains. It develops innovative scientific and applied concepts, methods and techniques for the managerial and operational decision making in logistics systems and supply chains.
- Intelligent, Connected and Digital Logistics Systems
- Modeling, Simulation, Optimization and Data Analysis in Advanced Supply Chains
- Modeling, Simulation, Optimization and Data Analysis in Logistics Systems
Transportation and Clean Technologies: This line describes the insertion of new clean technologies in the transportation sector with a focus on the supply chain. It includes renewable energies and electromobility as a central research topic. Its objective is to minimize environmental impacts, increase the diffusion of innovation and generate new technologies.
- Renewable energy
- Clean Technologies
Carlos Manuel Taboada Rodriguez
Marina Bouzon (Coordinator)