Maria Paula de Brito Graça

Prof. Maria Paula de Brito Graça

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in Technological Forecasting and Social Change
Verified
Journal Article
Closed access
Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
Luis M. Camarinha-MatosLuis M. Camarinha-Matos
Luis M. Camarinha-Matos

5 December 2022 in Journal of Intelligent Manufacturing
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Journal Article
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Luis M. Camarinha-MatosLuis M. Camarinha-Matos
Luis M. Camarinha-Matos
Andre Dionisio RochaAndre Dionisio Rocha
Andre Dionisio Rocha
Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
In recent years, the manufacturing sector is going through a major transformation, as reflected in the concept of Industry 4.0 and digital transformation. The urge for such transformation is intensified when we consider the growing societal demands for sustainability. The notion of sustainable manufacturing has emerged as a result of this trend. Additionally, industries and the whole society face the challenges of an increasing number of disruptive events, either natural or human-caused, that can severely affect the normal operation of systems. Furthermore, the growing interconnectivity between organizations, people, and physical systems, supported by recent developments in information and communication technologies, highlights the important role that collaborative networks can play in the digital transformation processes. As such, this article analyses potential synergies between the areas of sustainable and resilient manufacturing and collaborative networks. The work also discusses how the responsibility for the various facets of sustainability can be distributed among the multiple entities involved in manufacturing. The study is based on a literature survey, complemented with the experience gained from various research projects and related initiatives in the area, and is organized according to various dimensions of Industry 4.0. A brief review of proposed approaches and indicators for measuring sustainability from the networked manufacturing perspective is also included. Finally, a set of key research challenges are identified to complement strategic research agendas in manufacturing.

28 March 2015
Verified
Book Chapter
Open access
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Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
Luis M. Camarinha-MatosLuis M. Camarinha-Matos
Luis M. Camarinha-Matos
During last decades there has been a trend to build collaboration platforms as enablers for groups of enterprises to jointly provide integrated services and products. As a result, the notion of business ecosystem is getting wider acceptance. However, a critical issue that is still open, despite some efforts in this area, is the identification of adequate performance indicators to measure and motivate sustainable collaboration. This work-in-progress addresses this concern, briefly presenting the state of the art of relevant contributing areas such as, collaborative networks, business ecosystems, enterprise performance indicators, social networks analysis, and supply chains. Complementarily, through an assessment of current gaps, the research challenges are identified and an approach for further development is proposed.

20 September 2016
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Book Chapter
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Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
Luis M. Camarinha-MatosLuis M. Camarinha-Matos
Luis M. Camarinha-Matos
Business ecosystems enabled by the increasing use and improvement of communication networks, offer nowadays a powerful competitive advantage to business players and entrepreneurs. They form a collaborative new mean of economic and social value creation, addressing customers’ needs, overcoming constraints of individual firms, increasing capabilities for new business opportunities, and accelerating learning and innovation. This paper proposes a set of performance indicators to measure some of these collaboration benefits, therefore motivating the sustainability and resilience of the business ecosystem. The presented results are based on simulation models, which intend to characterize the roles and interactions of a real life collaborative business ecosystem.

27 July 2022 in Computation
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Jose Carlos Meireles Monteiro MetrolhoJose Carlos Meireles Monteiro Metrolho
Jose Carlos Meireles Monteiro Metrolho
Fernando RibeiroFernando Ribeiro
Fernando Ribeiro
Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
AMAna Mourato
Ana Mourato
DFDavid Figueiredo
David Figueiredo
HVHugo Vilarinho
Hugo Vilarinho
Several approaches have been proposed to reduce the gap between software engineering education and the needs and practices of the software industry. Many of them aim to promote a more active learning attitude in students and provide them with more realistic experiences, thus recreating industry software development environments and collaborative development and, in some cases, with the involvement of companies mainly acting as potential customers. Since many degree courses typically offer separate subjects to teach requirements engineering, analysis and design, coding, or validation, the integration of all these phases normally necessitates experience in a project context and is usually carried out in a final year project. The approach described in this article benefits from the close involvement of a software house company which goes beyond the common involvement of a potential customer. Students are integrated into distributed teams comprising students, teachers and IT professionals. Teams follow the agile Scrum methodology and use the OutSystems low-code development platform providing students with the experience of an almost real scenario. The results show that this approach complements the knowledge and practice acquired in course subjects, develops the students’ technical and non-technical skills, such as commitment, teamwork, and communication, and initiates them in the methodologies and development strategies used in these companies. The feedback from the teachers involved, software companies and students was very positive.

6 December 2021 in Computers
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Journal Article
Open access
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Maria Paula de Brito GraçaMaria Paula de Brito Graça
Maria Paula de Brito Graça
Luis M. Camarinha-MatosLuis M. Camarinha-Matos
Luis M. Camarinha-Matos
Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations’ behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.