| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 6.56 MB | Adobe PDF |
Advisor(s)
Abstract(s)
A presente dissertação foi desenvolvida no âmbito da Unidade Curricular “Projeto/ Dissertação/
Estágio”, do Mestrado em Engenharia e Gestão Industrial, do Departamento de Engenharia
Mecânica do Instituto Superior de Engenharia do Porto. O trabalho explora a implementação
de uma plataforma desenvolvida com recurso a Low-code para otimizar o cálculo,
monitorização e gestão de emissões de Gases com Efeito de Estufa (GEE) da Efacec.
A capacidade de uma empresa reportar com precisão o seu Inventário de GEE é essencial para
garantir vantagem competitiva no mercado. A sustentabilidade e, em particular, a temática das
emissões de GEE, tornou-se, em anos recentes, um fator decisivo na escolha de fornecedores.
Reconhecendo a imperatividade de enfrentar com urgência as alterações climáticas, bem como
responder aos crescentes pedidos dos clientes, a Efacec uniu-se ao movimento “Business
Ambition for 1.5ºC” da Organização das Nações Unidas, estabelecendo publicamente o acordo
de atingir zero emissões líquidas até 2050 de acordo com critérios da Science Based Targets
initiative. No entanto, a organização enfrentava desafios com o seu processo de cálculo do
inventário de GEE, que era ineficiente em termos de tempo e resultava em dados imprecisos.
Através de uma abordagem metodológica baseada em investigação-ação, foi conduzido um
levantamento detalhado das necessidades internas da empresa, além de uma análise das
principais ferramentas de mercado, que revelaram uma falta de flexibilidade adequada a
organizações com a complexidade da Efacec.
O objetivo deste trabalho foi, então, desenvolver uma aplicação destinada a otimizar este
processo, aprimorando a eficiência, precisão e personalização no controlo das emissões. A
solução proposta possibilitou uma nova abordagem para o cálculo global do Inventário de GEE,
incorporando funcionalidades de monitorização em tempo real, dashboards e personalização.
A aplicação foi testada por colaboradores da Efacec, que avaliaram módulos específicos de
acordo com os seus perfis, resultando numa satisfação global de 84%. A avaliação do potencial
de crescimento e adaptação da ferramenta, em consonância com a evolução da empresa,
obteve uma classificação de 92%.
Em suma, a solução desenvolvida não só aumentará a eficiência e a precisão do Inventário de
GEE, como também atenderá à crescente procura dos clientes por práticas sustentáveis,
possibilitando respostas mais ágeis. Apesar das limitações encontradas durante o
desenvolvimento, a solução revelou-se eficaz e inovadora, com potencial para beneficiar outras
empresas que enfrentam desafios semelhantes.
This dissertation was developed as part of the “Project/Dissertation/Internship” curricular unit of the master’s program in Industrial Engineering and Management at the Mechanical Engineering Department of the Porto School of Engineering. The work explores the implementation of application, developed in Low-code, to optimise the calculation, monitoring and management of Efacec's greenhouse gas (GHG) emissions. A company's ability to accurately report its GHG Inventory is essential to ensure competitive advantage in the market. Sustainability, and particularly the issue of GHG emissions, has become a decisive factor in choosing suppliers in recent years. Recognising the imperative of urgently tackling climate change, as well as responding to growing customer demands, Efacec joined the United Nations' “Business Ambition for 1.5ºC” movement, publicly agreeing to achieve zero net emissions by 2050 in accordance with the criteria of the Science Based Targets initiative. However, the organisation faced challenges with its GHG inventory calculation process, which was time-inefficient and resulted in inaccurate data. Through a methodological approach based on action research, a detailed survey of the company's internal needs was conducted, as well as an analysis of the main market tools, which revealed a lack of flexibility suitable for organisations with Efacec's complexity. The aim of this work was then to develop an application designed to optimise this process, improving efficiency, precision and personalisation in emissions control. The proposed solution enabled a new approach to the overall calculation of the GHG Inventory, incorporating realtime monitoring features, interactive dashboards and customisation options. The application was tested by Efacec employees, who evaluated specific modules according to their profiles, resulting in overall satisfaction of 84 per cent. The assessment of the tool's potential for growth and adaptation, in line with the company's evolution, obtained a rating of 92%. In short, the solution developed will not only increase the efficiency and accuracy of the GHG Inventory but will also meet the growing demand from clients for sustainable practices, enabling more agile responses. Despite the limitations encountered during development, the solution proved to be effective and innovative, with the potential to benefit other companies facing similar challenges.
This dissertation was developed as part of the “Project/Dissertation/Internship” curricular unit of the master’s program in Industrial Engineering and Management at the Mechanical Engineering Department of the Porto School of Engineering. The work explores the implementation of application, developed in Low-code, to optimise the calculation, monitoring and management of Efacec's greenhouse gas (GHG) emissions. A company's ability to accurately report its GHG Inventory is essential to ensure competitive advantage in the market. Sustainability, and particularly the issue of GHG emissions, has become a decisive factor in choosing suppliers in recent years. Recognising the imperative of urgently tackling climate change, as well as responding to growing customer demands, Efacec joined the United Nations' “Business Ambition for 1.5ºC” movement, publicly agreeing to achieve zero net emissions by 2050 in accordance with the criteria of the Science Based Targets initiative. However, the organisation faced challenges with its GHG inventory calculation process, which was time-inefficient and resulted in inaccurate data. Through a methodological approach based on action research, a detailed survey of the company's internal needs was conducted, as well as an analysis of the main market tools, which revealed a lack of flexibility suitable for organisations with Efacec's complexity. The aim of this work was then to develop an application designed to optimise this process, improving efficiency, precision and personalisation in emissions control. The proposed solution enabled a new approach to the overall calculation of the GHG Inventory, incorporating realtime monitoring features, interactive dashboards and customisation options. The application was tested by Efacec employees, who evaluated specific modules according to their profiles, resulting in overall satisfaction of 84 per cent. The assessment of the tool's potential for growth and adaptation, in line with the company's evolution, obtained a rating of 92%. In short, the solution developed will not only increase the efficiency and accuracy of the GHG Inventory but will also meet the growing demand from clients for sustainable practices, enabling more agile responses. Despite the limitations encountered during development, the solution proved to be effective and innovative, with the potential to benefit other companies facing similar challenges.
Description
Keywords
Decarbonisation GHG emissions Low-code OutSystems Process optimization Sustainability Descarbonização Emissões de GEE Otimização de processos Sustentabilidade