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Sobre

Sobre

Investigadora no Inesc Tec desde 2011, onde tem vindo a colaborar no Centro de Engenharia de Sistemas Empresariais (CESE), na área da gestão do processo de adoção de tecnologias e Professora convidada na Universidade Portucalense desde 2016. Foi docente e Professora convidada na Escola de Economia e Gestão da Universidade do Minho desde 2003 até 2017 nas área de gestão de operações e gestão da cadeia de abastecimento.

Trabalhou como consultora sénior na Porto Business School nas áreas de gestão e planeamento estratégico em saúde, participando vários projectos de consultoria para entidades regionais e nacionais.

Doutorada em Engenharia e Gestão Industrial, na Faculdade de Engenharia da Universidade do Porto, com a dissertação "Contributions to the development of a performance measurement framework for Hospital Centres" (2016).

Mestre em Métodos Quantitativos Aplicados à Gestão, na Escola de Gestão do Porto (Universidade do Porto), obtido com uma dissertação sobre “Modelo para a Organização Espacial dos Sistemas Locais de Saúde&rdquo.

Licenciada em Engenharia e Gestão Industrial pela Universidade de Aveiro.

Investigadora/consultora em vários projetos de I&D, financiadas por várias entidades, nas área da adoção de tecnologias processo de inovação, desenvolvimento de programas avançados de formação e planeamento em saúde. Membro da comissão executiva do iilab (Laboratório de Indústria e Inovação do INESC TEC) responsável pela área da formação. Autora de várias publicações em revistas indexadas internacionais nas áreas de gestão, gestão da tecnologia e gestão/planeamento em saúde. Principais áreas de investigação: gestão da tecnologia e implementação da tecnologia.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Ana Cristina Simões
  • Cargo

    Investigador Sénior
  • Desde

    15 junho 2011
016
Publicações

2027

COGNITIVE WORKLOAD AND FATIGUE IN A HUMAN-ROBOT COLLABORATIVE ASSEMBLY WORKSTATION: A PILOT STUDY

Autores
Joana Santos; Mariana Ferraz; Ana Pinto; Luis F. Rocha; Carlos M. Costa; Ana C. Simões; Klass Bombeke; M.A.P. Vaz;

Publicação
International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2023

Abstract

2025

Human-Centred Technology Management for a Sustainable Future

Autores
Zimmermann, R; Rodrigues, JC; Simoes, A; Dalmarco, G;

Publicação
Springer Proceedings in Business and Economics

Abstract

2025

Industry 4.0 Technologies Revolutionising Footwear: Paving the Path to Circularity Through Innovative Services

Autores
Monteiro, L; Simões, AC; Baptista, J; Rebelo, R;

Publicação
Springer Proceedings in Business and Economics

Abstract
The footwear industry, a sub-sector of textile industrial sector, faces increased pressures towards higher levels of sustainability and circularity along all the value chain. Along the last decades, shoe products have become more complex products, integrating a greater number of components, materials diversity and often long supply-chains related to cost reduction and production or sourcing delocalization strategies. Full value-chain digitalization, as a cornerstone of Industry 4.0 paradigm, plays a key role for leveraging more sustainable and circular products, namely by traceability operationalization and forthcoming instruments such as Digital Product Passport. This research studied, via a state-of-art framing of the challenges followed by qualitative approach, how Industry 4.0 technologies can support the development of new services that contribute to sustainable and circular practices in footwear companies. An interview-based survey was conducted to 6 footwear companies, to map the adoption level of Industry 4.0 technologies and cross-linking to circular services business models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

2024

Supporting decision-making of collaborative robot (cobot) adoption: The development of a framework

Autores
Silva, A; Simoes, AC; Blanc, R;

Publicação
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Abstract
Collaborative robots (cobots) are emerging in manufacturing as a response to the current mass customization production paradigm and the fifth industrial revolution. Before adopting this technology in production processes and benefiting from its advantages, manufacturers need to analyze the investment. Therefore, this study aims to develop a decision -making framework for cobot adoption, incorporating a comprehensive set of quantitative and qualitative criteria, to be used by decision -makers in manufacturing companies. To achieve that objective, a qualitative study was conducted by collecting data through interviews with key actors in the cobot (or advanced manufacturing technologies) adoption decision process in manufacturing companies. The main findings of this study include, firstly, an extensive list of decision criteria, as well as some indicators to be used by decisionmakers, some of which are new to the literature. Secondly, a decision -making framework for cobot adoption is proposed, as well as a set of guidelines to use it. The framework is based on a weighted scoring method and can be customizable by the manufacturing company depending on its specific context, needs, and resources. The main contribution of this study consists in assisting decision -makers of manufacturing companies in performing more complete and sustained decision analyses regarding cobots adoption.

2024

What Matters for Managers When Adopting Cobots in Manufacturing Organisations? - The Results of a Survey Study in Portuguese SMEs

Autores
Couto, G; Simoes, AC; Ferreira, LMDF; Sousa, PSA; Moreira, MRA; Ribeiro, FL;

Publicação
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS-PRODUCTION MANAGEMENT SYSTEMS FOR VOLATILE, UNCERTAIN, COMPLEX, AND AMBIGUOUS ENVIRONMENTS, APMS 2024, PT III

Abstract
Collaborative robots, or cobots, are increasingly used by manufacturing companies to meet the demands for greater flexibility and to adapt to the trend of mass customisation in production. When considering the adoption of cobots, companies enter a critical decision-making phase. This study aims to identify the relevant decision factors for adopting collaborative robots (cobots) in manufacturing medium-sized enterprises (SMEs) in Portugal, using a combined framework of Technology-Organisation-Environment (TOE), Diffusion of Innovations (DOI) theory, and Institutional Theory. Data was collected through an online survey distributed to Portuguese manufacturing companies, yielding 78 valid responses. Analysis conducted using SmartPLS 4 revealed that top management support, resource availability, and industry pressure significantly influence the adoption decision. However, factors such as the relative advantage of cobots, compatibility with existing processes, organisational innovativeness, human resources quality, and external support did not significantly impact SMEs' adoption of cobots. These findings enhance the understanding of technology management, specifically the process of adopting cobots in manufacturing. The insights from this study help managers focus on the key factors critical for successful cobot adoption, supporting decision-makers in making more informed choices.

Teses
supervisionadas

2023

Women in Manufacturing: challenges and drivers influence on self- and collaborators’ perceptions as entrepreneurs?

Autor
Sandra Rafaela Alves Monteiro

Instituição
INESCTEC

2023

Os impactos da adoção de tecnologias da Indústria 4.0 nas dimensões económica, social e ambiental da sustentabilidade em empresas industriais

Autor
Duarte Rafael de Almeida

Instituição
INESCTEC

2023

The contribution of Industry 4.0 technologies to developing new services that support sustainable and circular practices – the case of footwear companies

Autor
Maria Leonor Motinni Monteiro

Instituição
INESCTEC

2022

Competências Digitais nos Locais de Trabalho: uma Revisão Sistemática da Literatura

Autor
Ana Raquel Marques Domingues

Instituição
INESCTEC

2022

Burnout em Professores do Ensino Superior-estudo comparativo entre Portugal e Brasil

Autor
Susana Gonçalves Rodriguez

Instituição
INESCTEC