DesignLab
  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

Projeto : CREDIT (Cloud Roadmap Environment for Digital Transformation)

Grupo de Pesquisa: D-Lab: Engenharia de Serviços e Manufatura em Nuvem

O D-Lab tem se dedicado à modelagem e análise do processo de Transformação Digital em várias áreas, e especialmente na manufatura. O projeto CREDIT se insere nesse estudo e tem como primeira abordagem a modelagem desse roadmap estratégico, que é, na nossa abordagem, um processo de design. O projeto insere outos sistemas como o PIMM4.0 (https://www.pimm40.com.br) criado por Sandro Breval, que é também um pesquisador colaborador do D-Lab. O processo proposto no CREDIT explora a inserção de conhecimento no processo de modelagem e design de requisitos para combinar, baseado em conceitos e categorias extraídos da situação corrente da empresa, os alvos e o melhor caminho para a sua transformação.  Técnicas de IA cognitiva e simbólica serão combinadas cos métodos do MBRE (Model-based Requirements Engineering), proposto também pelo D-Lab, agora nos modelos que combinam evolução tecnológica e de negócio. O ambiente residirá na nuvem associado a um data space.

Atualizado em 23 de Fevereiro de 2024, 14:56

Pesquisador Responsável


Jose Reinaldo Silva

reinaldo@usp.br

Bachelor in Physics from Bahia Federal University, got aMSc in Physics from Pernanbuco Federal University UFPE, and a MA in Computer Science from Mills College, USA. PhD in Computer Engineering by Universith of São Paulo and postdoc in Computer Science and in Systems Design Engineering at University of Waterloo, Ca. Research interests are in Engineering Systems Design, Requirements Engineering, Service Design Management and Engineering, Artificial Intelligence, Planning & Scheduling, Formal Verification methods, Data Spaces and Digital Transformation towards Industry 4.0.

Colaboradores


Elinilson Vital

vital@usp.br

Master's student in Mechatronics Engineering at the Polytechnic School of the University of São Paulo, focusing on the theme Cloud Manufacturing Services (CMfgS): Modeling of automated production systems in the cloud. Graduated in Applied Mathematics in Mechanical Control and Automation from the Institute of Mathematics and Statistics of the same university, focusing on formal requirements analysis, service science, distributed systems, knowledge bases, and data spaces. Demonstrates ability to apply mathematical and computational knowledge to solve complex problems and promote technological innovations. Practical experience includes data science, data grouping and their applications, as well as in modeling and analysis of automation systems, also in programming and simulation, including algorithms and data structures, concurrent and parallel programming, and numerical methods for differential equations. The main research interests are currently focused on deepening knowledge in Service Science and Data Spaces, aiming to develop innovative solutions that optimize business processes and increase technological efficiency in distributed environments, uniting mathematics, computing, and engineering.

Sandro Breval Santiago

sbreval@gmail.com

Ph.D. in Industrial Engineering at the Federal University of Santa Catarina, Brazil, became an Digital Transformation Expert at RWTH University, Germany. Developed expertise in the areas of technologic advances for industry and create a system to evaluate the degree of maturity and readiness to allow companies to be involved in the process of technologic advances. The system is called PIMM4.0 and is directed to the process of transformation to Industry 4.0. Works today in collaboration with D-Lab to develop a formal roadmap to be a reference to processes of Digital Transformation toward I4.0. Professor in the Federal University of Amazon.

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