César Augusto Matos Toscano

I am a senior researcher with a degree in Electrical Engineering from University of Porto, Portugal (option of Digital and Computer Systems). Since 1996, I am responsible for Research and Technological Development projects in the Centre for Enterprise Systems Engineering (CESE) at INESC TE. Information Systems, Operations Management, Decision Support and Enterprise Collaborative Networks are my main areas of work. In this context, I have participated in national and European projects of applied research in close collaboration with other research institutions, technology centres, companies of the ICT sector and industrial companies from various sectors, among which stand out the textile, clothing and footwear sectors and the automotive industry. The following is a sample of European projects I was engaged with: 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”. Besides software-based prototypes, I published several articles in scientific journals, conference proceedings and book chapters.

Domains

Enterprise Systems Engineering

Projects

BEinCPPS

The goal of project BEinCPPS is to integrate and experiment an Fl-based machine-factory—cloud service platform, intensively in ﬁve selected S3 Vanguard regions in a first stage, and afterwards extensively in all European regions, by involving local competence centres and manufacturing SMEs. The ﬁnal aim of this project is to dramatically improve the adoption of CPPSs all over Europe by creating, nurturing and promoting CPS-driven regional innovation ecosystems, made of competence centres, manufacturing enterprises and IT SMEs.

Business Experiments in Cyber Physical Production Systems

ADIRA_I4.0

To revitalize the industrial sector, it is imperative to invest in R & D, developing new technologies based on knowledge, not overlooking a digital world in strong development. In response to this paradigm of "digitalization" of the industrial sector comes the "Industry 4.0" where manufacturing technologies are combined with the most advanced information and communication technology systems. In this path, there is the obvious need to find innovative, modular and economically viable solutions that enable transforming the capital goods (e.g. machine tools) in Components of Industry 4.0. Moreover, the industry 4.0 presents a very broad conceptual and theoretical framework involving a deep work at the level of its parameterization (e.g. RAMI 4.0) and standards or trends in terms of technological layers (communication protocols, sensing, etc.), however, there are no implementations that may be considered as a reference expecting the market the emergence of application frameworks. The ADIRA INDUSTRY 4.0 will take advantage of this empty references creating a reality applied to the machine tools, metalworking industry and SME, allowing the company to set up innovative products / services. In addition to the innovation in the integration and administration layers of the Components, one of the most disruptive aspects relates to the integration with either new capital goods as with previous generations, or present capital goods but not compatible with Industry 4.0. In fact, the approach through retrofitting modules, involving the mechatronic component and the sensing layer, presents itself as highly promising, since it allows to rapidly expand to the existing equipment or the equipment not compatible with the industry 4.0 concept. This new product / service of high-density technology to be develop and implemented by ADIRA is an innovative solution at world level and capable of generating new strategic markets. Project Datasheet

Desenvolvimento de soluções tecnológicas e de software Industria 4.0 aplicadas a bens de equipamento.

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Publications

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

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

2024

Lecture Notes in Mechanical Engineering

An intelligent agent-based order planning for dynamic networked enterprises

Azevedo, AL;Toscano, C;Bastos, J;

2002

ENTERPRISE INFORMATION SYSTEMS III

Collaborative planning approach for non-hierarchical networks environments

Almeida, R;Toscano, C;Azevedo, A;Carneiro, L;

2011

2011 17th International Conference on Concurrent Enterprising, ICE 2011 - Conference Proceedings

Performance Measurement

Ferreira, PS;Cunha, PF;Maia Carneiro, L;Toscano, C;

2012

Intelligent Non-hierarchical Manufacturing Networks - Poler/Intelligent Non-hierarchical Manufacturing Networks

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Centres

Enterprise Systems Engineering

The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.