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Sobre

Sobre

Sou licenciado em Engenharia Electrotécnica pela Universidade do Porto (1985, opção de Sistemas Digitais e Computadores). Desde 1996, sou responsável por projetos de Investigação & Desenvolvimento Tecnológicos no Centro de Engenharia de Sistemas de Empresariais (CESE) do INESC TEC. Sistemas de Informação, Gestão de Operações, Apoio à Decisão e Redes Colaborativas são os meus principais domínios de ação. Neste contexto, participei em vários projetos nacionais e europeus de investigação aplicada, em parceria com outras instituições de investigação, centros tecnológicos, empresas tecnológicas e industriais, em vários setores de atividades, entre os quais saliento o têxtil, vestuário e calçado e a indústria automóvel. Destaco a participação nos seguintes projetos europeus:  AC/DC “Automotive Chassis Development for 5-Days-Cars”, eBiz-TCF “Harmonising e-Business processes and data exchanges for SMEs in the textile/clothing and footwear sectors in the Single Market”, STAMINA “Sustainable and reliable robotics for part handling in manufacturing automation”. Para além do desenvolvimento de protótipos de software, participei na escrita de artigos de índole científica em revistas, conferências e capítulos de livros.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    César Toscano
  • Cargo

    Investigador Sénior
  • Desde

    15 abril 1996
025
Publicações

2024

Deep Reinforcement Learning-Based Approach to Dynamically Balance Multi-manned Assembly Lines

Autores
Santos, R; Marques, C; Toscano, C; Ferreira, M; Ribeiro, J;

Publicação
Lecture Notes in Mechanical Engineering

Abstract
Assembly lines are at the core of many manufacturing systems, and planning for a well-balanced flow is key to ensure long-term efficiency. However, in flexible configurations such as Multi-Manned Assembly Lines (MMAL), the balancing problem also becomes more challenging. Due to the increased relevance of these assembly lines, this work aims to investigate the MMAL balancing problem, to contribute for a more effective decision-making process. Therefore, a new approach is proposed based on Deep Reinforcement Learning (DRL) embedded in a Digital Twin architecture. The proposed approach provides a close-to-reality training environment for the agent, using Discrete Event Simulation to simulate the production system dynamics. This methodology was tested on a real-world instance with preliminary results showing that similar solutions to the ones obtained using optimization-based strategies are achieved. This research provides evidence of success in terms of dynamic resource assignment to tasks and workers as a basis for future developments. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Scalable Digital Twins for industry 4.0 digital services: a dataspaces approach

Autores
Moreno, T; Almeida, A; Toscano, C; Ferreira, F; Azevedo, A;

Publicação
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL

Abstract
The manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin concept and its importance in the industrial companies' business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces reference model's application to overcome these limitations. Following a pilot study with a Portuguese machine producer/maintainer enterprise, this paper will demonstrate the development of a cutting and bending machine Digital Twin, leveraged on an International Data Spaces infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new business-to-business marketplace from the EU project Market 4.0.

2023

Prototyping the IDS Security Components in the Context of Industry 4.0 - A Textile and Clothing Industry Case Study

Autores
Torres, N; Chaves, A; Toscano, C; Pinto, P;

Publicação
Communications in Computer and Information Science

Abstract
With the introduction of Industry 4.0 technological concepts, suppliers and manufacturers envision new or improved products and services, cost reductions, and productivity gains. In this context, data exchanges between companies in the same or different activity sectors are necessary, while assuring data security and sovereignty. Thus, it is crucial to select and implement adequate standards which enable the interconnection requirements between companies and also feature security by design. The International Data Spaces (IDS) is a current standard that provides data sharing through data spaces mainly composed of homogeneous rules, certified data providers/consumers, and reliability between partners. Implementing IDS in sectors such as textile and clothing is expected to open new opportunities and challenges. This paper proposes a prototype for the IDS Security Components in the Textile and Clothing Industry context. This prototype assures data sovereignty and enables the interactions required by all participants in this supply chain industry using secure communications. The adoption of IDS as a base model in this activity sector fosters productive collaboration, lowers entry barriers for business partnerships, and enables an innovation environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2021

Digital twin for manufacturing equipment in industry 4.0

Autores
Moreno T.; Almeida A.; Ferreira F.; Caldas N.; Toscano C.; Azevedo A.;

Publicação
Advances in Transdisciplinary Engineering

Abstract
The manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin (DT) concept and its importance on the industrial companies' business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces (IDS) reference model's application to overcome these limitations. Following a pilot study with a Portuguese machine manufacturing company, this paper will demonstrate the development of a cutting and bending machines DT, leveraged on an IDS infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new B2B marketplace from the EU project Market 4.0.

2021

A new Simulation-Based Approach in the Design of Manufacturing Systems and Real-Time Decision

Autores
Santos, R; Toscano, C; de Sousa, JP;

Publicação
IFAC PAPERSONLINE

Abstract
The principles and tools made available by the Industry 4.0, smart factories, or the Internet of Things (IoT), along with the adoption of more comprehensive simulation models, can significantly help the industry to face the current, huge external and internal challenges. This paper presents a new simulation-based approach to support decision making in the design and operational management of manufacturing systems. This approach is used to evaluate different layouts and resources allocation, and help managing operations, by integrating a simulation software with real-time data collected from the production assets through an IoT platform. The developed methodology uses a digital representation of the real production system (that may be viewed as a form of a digital twin) to assess different production scenarios. A set of key performance indicators (e.g. productivity) provided by the simulation can be used by the Manufacturing Execution System (MES) to generate production schedules. The developed approach was implemented and assessed in a real case study, showing its robustness and application potential. Its extension to other industrial contexts and sectors seems, therefore, quite promising. Copyright (C) 2021 The Authors.

Teses
supervisionadas

Automatic inconsistency detection in a logistic world model (european project STAMINA)

Autor
Rafael Lirio Arrais

Instituição
INESCTEC