Aluno: Duarte Nuno Oliveira Ferreira DunÕes Parra
Resumo
The current market environment is increasingly competitive and dynamic, and each client's requirements are becoming more complex, influencing and impacting the cost, quality levels, and timings of all projects.
To achieve competitive advantage and overcome these levels of dynamism and complexity, analysing the risks involved is crucial at all stages of the project life cycle, a critical dimension for the project management process, which is gaining increasing relevance due to is ability to answer the inefficiencies generated by the various uncertainties and due to the help provided in the decision-making process throughout the different stages of a project or process.
On this basis, the main objective of this work is to identify and assess the influence of risk levels in the early stages of the new product development process, focusing on the sustainability dimensions in the automotive sector, since the balance in this dimension increases organisational value and is increasingly included in differentiation strategies.
To achieve the study's objective, a model was developed to support risk assessment in project management and decision-making. The model is based on fuzzy inference systems essential in risk management. These systems allow the subjectivity of the analysis associated with human perception to be mitigated based on Artificial Intelligence algorithms, known as Fuzzy Logic.
In summary, the presentation and application of this proposed model have reduced the uncertainty and ambiguity inherent in risk analysis. Therefore, the discussion of the problem under study was focused on identifying the development phase of a new program for a company in the automotive industry that presents the most significant risk regarding sustainability dimensions.
Trabalho final de Mestrado