Percorrer por autor "Vidal, Raphaela"

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    Analyzing the attractiveness of Businesses to receive Investments for a creative and innovative transition to a circular economy: the case of the textile and fashion industry
    (MDPI, 2023-04-13) Silva, Wesley Douglas Oliveira; Fontana, Marcele Elisa; Almeida, Bianca; Marques, Pedro Carmona; Vidal, Raphaela; Faculdade de Engenharia
    Excessive and often compulsive consumption has given the textile–fashion industry the reputation of being one of the industries causing the most pollution in today’s world. For this reason, there is a necessity for a transition from a linear to a circular approach in the textile–fashion industry. However, this is not an easy task, especially when considering the investments that must be made to put a circular economy structure into practice. In this sense, the transition to a circular economy in the textile–fashion industry presents a unique opportunity for businesses to attract investments to support this transition by leveraging creativity and innovation to reduce waste, minimize resource consumption, and increase the longevity of products and materials. Therefore, this study sets out to develop a multicriteria decision support model to measure the attractiveness of businesses to receive investments that aim at aiding the transition to the circular economy. The model uses the “play card” from Simos’ procedure and the Normalize software that provide a comprehensive, consistent, and transparent approach to decision making, which can help investors to evaluate the attractiveness of investment opportunities and identify businesses that have the potential for long-term success in the circular economy. Hence, catalyzing and obstructing factors of the circular economy discussed in the literature were selected to underpin the analysis model and to draw up robust investment recommendations to the investors. In addition to the scientific contributions of the model, indications are also provided to the private sector, public policy makers, and society on how sustainability can be driven by the circular economy.
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    Application of Monte-Carlo Simulation towards a better understanding of Bayes´ Theorem in Engineering Education
    (Edições Universitárias Lusófonas, 2022) Assis, Rui; Marques, Pedro Carmona; Vidal, Raphaela; Faculdade de Engenharia
    Bayes' Theorem (BT) is treated in probability theory and statistics. The BT shows how to change the probabilities a priori in view of new evidence, to obtain probabilities a posteriori. With the Bayesian interpretation of probability, the BT is expressed as the probability of an event (or the degree of belief in the occurrence of an event) should be changed, after considering evidence about the occurrence of that event. Bayesian inference is fundamental to Bayesian statistics. An example of practical application of this theorem in Health Systems is to consider the existence of false positives and false negatives in diagnoses. At the Academy, the theme of BT is exposed almost exclusively in its analytical form. With this article, the authors intend to contribute to clarify the logic behind this theorem, and get students better understanding of its important fields of application, using three methods: the classic analytical (Bayesian inference), the frequentist (frequency inference) and the numerical simulation of Monte-Carlo. Thus, it intends to explain BT on a practical and friendly way that provides understanding to students avoiding memorizing the formulas. We provide a spreadsheet that is accessible to any professor. Moreover, we highlight the methodology could be extended to other topics. Author Keywords. Bayes, Monte-Carlo Simulation, False Positives, False Negatives, Engineering Education,Computation
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    Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
    (Edições Universitárias Lusófonas, 2019) Assis, Rui; Marques, Pedro Carmona; Santos, José Oliveira; Vidal, Raphaela; Faculdade de Engenharia
    This article describes how to reach an item’s threshold, or in other words, the limit time for it to be re 5 trieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur. Once a minimum length, or weight, is reached, left quan tities are more difficult to sell, as demand often exceeds the remaining parts or leftovers. The number of unfulfilled 10 orders increases, as time goes by, until it becomes further cost effective to dispose the leftover and sell it for a lower price and alternative use. A Monte Carlo simulation model was built in order to consider the randomness of future transactions and quantifying consequences providing this 15 way a simple and effective decision-making. KEYWORDS: Decision-making ; Economical Optimization ; Monte-Carlo Simulation ; Stochastic Process
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    Organizational resilience : a review of definitions and measures
    (AYA Editora, 2020) Vidal, Raphaela; Vidal, Luíz Felipe de Castro e Silva; Faculdade de Engenharia