About ProLogIS

The ProLogIS (Laboratory of Productive and Logistic Intelligent Systems) aims to integrate concepts, apply methods (based on simulation, optimization and/or data analysis) and develop decision-making support technologies for data-oriented planning and control of logistics systems and Manufacturing 4.0.


ProLogIS has been involved in collaborative research activities and projects in the field of intelligent production and logistics systems. The role of researchers/students in projects within the laboratory/research group enables the development of technical (such as bibliometric and systematic literature review, conceptual modeling, scientific modeling, use of simulation tools, use of languages and software programming and data analysis), interpersonal (such as project management, time management) and communication skills (such as oral English and scientific writing of reports and manuscripts in English).

Cooperation with companies and professionals from the study sectors is fundamental, aiming to adapt the proposed solutions to the necessary operationality for their practical application. This approach is a fundamental component for the promotion of innovation arising from scientific and technological research projects.

ProLogIS also contributes to the nucleation of new businesses, with emphasis on the ongoing technical collaboration with technology-based start-ups.

Current research lines:

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.

Research topics:

  • 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

Data Intelligence in Organizations and Production Systems: This line integrates concepts, technologies and advanced methods to support the decision-making process (based on simulation, optimization, and/or data analysis) for operations management. It also develops concepts, methods and techniques for supporting managerial and operational decision making in: distributed production systems, integration of production processes, advanced manufacturing (intelligent, digital, connected, and social), intelligent maintenance and Industry 4.0. This line also aims to: develop and apply data analytics and modeling tools for production systems, analyze data on organizations’ operations or workforce to support decision making, and measure latent traits related to organizations.

Research topics:

  • Data Analysis in Production Systems
  • Advanced Manufacturing Management
  • Modeling, Simulation and Optimization of Production Systems