USP AWS

Projeto : Ambiente de Design para could Manufacturing Services (cMfgS)

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

Este projeto tem como objetivo o desenvolvimento de um framework para dar suporte ao design de Cloud Manufacturing Services (cMfgS) direcionados para sistemas de última geração da Industria 4.0 (que alguns pesquisadores preferem chamar de Industria 5.0).

Neste ambiente, a idéia básica que a inovação pressione por um processo contínuo de design (ou de manutenção incremental) baseado em requisitos dinâmicos que devem ser frequentemente revisados e ampliados. Um repositório de serviços na nuvem dá suporte ao processo de design, com serviços (cMfgS) que podem ser acrescidos ou retirados do sistema para compor diferentes versões do ambiente produtivo. 
O ciclo de vida do design começa com a modelagem de requisitos dinâmicos (usando Goal Oriented Requirements Engineering - GORE) no que chamamos de nível conceitual. Esses requisitos são instanciados em processos e em uma arquitetura, no "nível de arquitetural". Finalmente, a implementação é obtida pela atribuição dos requisitos e processos em cMfgS disponíveis no repositório.
 

                                                                                        

                                                                                                      

Atualizado em 09 de Fevereiro de 2021, 00:38

Pesquisador Responsável


Jose Reinaldo Silva

 reinaldo@usp.br

Bachelor in Physics in UFBA, MSc in Physics in UFPE, MA in Computer Science, Mills College, USA, PhD in Computer Engineering, USP, pos-doc in Computer Science and in Systems Design Engineering, Univ. of Waterloo, Ca. Associate Professor of the Mechatronics and Mechanical Science Dept. of Escola Politécnica, USP. Research interests are in Engineering Design, Requirements Engineering, Service Design Management and Engineering, Artificial Intelligence, Planning & Scheduling, Formal methods methods applied to IIoT and 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.

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