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Resiliência e sustentabilidade nas cadeias de abastecimento : o papel disruptivo da tecnologia
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A presente dissertação analisou o impacto da integração de tecnologias emergentes, em particular da Inteligência Artificial (IA) e da Internet das Coisas (IoT), na resiliência e sustentabilidade das cadeias de abastecimento em Portugal. Para tal, foi conduzido um estudo de caso múltiplo com base em entrevistas semiestruturadas a representantes de quatro empresas multinacionais de diferentes setores a operar em Portugal, permitindo uma comparação entre os principais desafios enfrentados, as oportunidades identificadas e as estratégias implementadas. Os resultados obtidos revelaram que a adoção de soluções tecnológicas potenciou a agilidade, a capacidade preditiva e a eficiência energética das organizações, contribuindo para a minimização de riscos operacionais e ambientais. A combinação entre IA e IoT, Inteligência Artificial das Coisas (AIoT), demonstrou ser especialmente eficaz na manutenção preditiva, na monitorização em tempo real e na redução de desperdícios. No entanto, foram também identificadas algumas barreiras significativas à sua adoção, nomeadamente os elevados custos de implementação, a escassez de talento qualificado e a dificuldade de integração nos processos existentes. Posto isto, este estudo contribui para colmatar uma lacuna na literatura ao analisar este fenómeno num contexto empresarial português, oferecendo insights práticos e recomendações estratégicas para uma transição digital eficaz e sustentável. A investigação reforça a relevância da AIoT como alicerce da modernização das cadeias de abastecimento rumo à Indústria 5.0.
This dissertation analysed the impact of integrating emerging technologies, particularly Artificial Intelligence (AI) and the Internet of Things (IoT), on the resilience and sustainability of supply chains in Portugal. To achieve this, a multiple case study was conducted based on semi-structured interviews with representatives from four multinational companies operating in different sectors in Portugal, allowing for a comparison of the main challenges faced, the opportunities identified, and the strategies implemented. The findings revealed that the adoption of technological solutions enhanced organizational agility, predictive capabilities, and energy efficiency, contributing to the minimization of operational and environmental risks. The combination of AI and IoT, known as Artificial Intelligence of Things (AIoT), proved to be particularly effective in predictive maintenance, real-time monitoring, and waste reduction. However, some significant barriers to its adoption were also identified, including high implementation costs, a shortage of skilled professionals, and challenges in integrating these technologies into existing processes. In this context, this study helps bridge a gap in the literature by examining this phenomenon within a Portuguese business environment, providing practical insights and strategic recommendations for an effective and sustainable digital transition. The research reinforces the relevance of AIoT as a cornerstone for the modernization of supply chains towards Industry 5.0.
This dissertation analysed the impact of integrating emerging technologies, particularly Artificial Intelligence (AI) and the Internet of Things (IoT), on the resilience and sustainability of supply chains in Portugal. To achieve this, a multiple case study was conducted based on semi-structured interviews with representatives from four multinational companies operating in different sectors in Portugal, allowing for a comparison of the main challenges faced, the opportunities identified, and the strategies implemented. The findings revealed that the adoption of technological solutions enhanced organizational agility, predictive capabilities, and energy efficiency, contributing to the minimization of operational and environmental risks. The combination of AI and IoT, known as Artificial Intelligence of Things (AIoT), proved to be particularly effective in predictive maintenance, real-time monitoring, and waste reduction. However, some significant barriers to its adoption were also identified, including high implementation costs, a shortage of skilled professionals, and challenges in integrating these technologies into existing processes. In this context, this study helps bridge a gap in the literature by examining this phenomenon within a Portuguese business environment, providing practical insights and strategic recommendations for an effective and sustainable digital transition. The research reinforces the relevance of AIoT as a cornerstone for the modernization of supply chains towards Industry 5.0.
Descrição
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Cadeia de abastecimento Inteligência artificial Internet das coisas Sustentabilidade Resiliência Supply chain Artifical intelligence Internet of things Sustainability Resilience
Contexto Educativo
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Licença CC
Sem licença CC