Effective swimmer’s action during the grab start technique

The external forces applied in swimming starts have been often studied, but using direct analysis and simple interpretation data processes. This study aimed to develop a tool for vertical and horizontal force assessment based on the swimmers' propulsive and structural forces (passive forces due to dead weight) applied during the block phase. Four methodological pathways were followed: the experimented fall of a rigid body, the swimmers' inertia effect, the development of a mathematical model to describe the outcome of the rigid body fall and its generalization to include the effects of the inertia, and the experimental swimmers' starting protocol analysed with the inclusion of the developed mathematical tool. The first three methodological steps resulted in the description and computation of the passive force components. At the fourth step, six well-trained swimmers performed three 15 m maximal grab start trials and three-dimensional (3D) kinetic data were obtained using a six degrees of freedom force plate. The passive force contribution to the start performance obtained from the model was subtracted from the experimental force due to the swimmers resulting in the swimmers' active forces. As expected, the swimmers' vertical and horizontal active forces accounted for the maximum variability contribution of the experimental forces. It was found that the active force profile for the vertical and horizontal components resembled one another. These findings should be considered in clarifying the active swimmers' force variability and the respective geometrical profile as indicators to redefine steering strategies.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.

Relação entre qualidade da quditoria e manipulação de resultados

A presente dissertação tem como objetivo analisar se existe relação entre a manipulação de resultados e a qualidade da auditoria, baseado no estudo do comportamento de determinados “accruals” nas empresas portuguesas não cotadas. Nos diversos estudos existentes sobre o tema “Relação da Qualidade da Auditoria e Manipulação de Resultados”, surgem abordados muitos aspetos, nomeadamente no que respeita às motivações, às formas de manipulação e métodos de deteção que se verifica no campo da auditoria e, este trabalho, pretende abordar se o processo da auditoria é, ou não, eficaz na deteção destas práticas efetuadas pelos gestores, pois isso influencia a confiança naqueles que utilizam a informação financeira. Desta forma, o trabalho pretende basear-se nestas abordagens e complementar visões e conclusões. Neste âmbito, surgem perspetivas e informações que alertam para comportamentos de risco, assim como a sua origem, ou seja, as motivações que provocam esta prática, tanto por parte dos gestores como dos administradores. É nesta perspetiva que este trabalho se enquadra, numa sociedade contemporânea que continuadamente dá exemplos reais e concretos destas práticas. Um ponto é comum, que é o facto de a manipulação dos resultados surgir principalmente pelo motivo dos interesses e motivações por parte dos gestores em conseguirem benefícios. Na tese são abordados os incentivos que levam à manipulação no contexto português, que parecem estar relacionados com o contexto económico e fiscal, onde é desenvolvida a atividade dos agentes económicos. Outra abordagem importante no trabalho é a referência às principais metodologias de detenção da manipulação de resultados, nomeadamente os modelos baseados nos accruals e na distribuição de resultados. O modelo empírico deste estudo consiste numa regressão linear múltipla, com o objetivo de explicar a relação, entre a variável accruals discricionários e as variáveis Big4, a dimensão da empresa, o endividamento, o volume de negócios e a rendibilidade. Para complementar este estudo a análise empírica incidiu sobre 4723 empresas portuguesas não cotadas, a amostra usada foi baseada na base de dados SABI, para um período de análise entre 2011 a 2013. Os resultados encontrados sugerem que existe relação entre a qualidade da auditoria e a manipulação dos resultados concluindo que as empresas auditadas pelas Big4 apresentam accruals discricionários inferiores às restantes empresas.

Balancing and lot-sizing mixed-model lines in the footwear industry

This report describes the full research proposal for the project \Balancing and lot-sizing mixed-model lines in the footwear industry", to be developed as part of the master program in Engenharia Electrotécnica e de Computadores - Sistemas de Planeamento Industrial of the Instituto Superior de Engenharia do Porto. The Portuguese footwear industry is undergoing a period of great development and innovation. The numbers speak for themselves, Portugal footwear exported 71 million pairs of shoes to over 130 countries in 2012. It is a diverse sector, which covers different categories of women, men and children shoes, each of them with various models. New and technologically advanced mixed-model assembly lines are being projected and installed to replace traditional mass assembly lines. Obviously there is a need to manage them conveniently and to improve their operations. This work focuses on balancing and lot-sizing stitching mixed-model lines in a real world environment. For that purpose it will be fundamental to develop and evaluate adequate effective solution methods. Different objectives may be considered, which are relevant for the companies, such as minimizing the number of workstations, and minimizing the makespan, while taking into account a lot of practical restrictions. The solution approaches will be based on approximate methods, namely by resorting to metaheuristics. To show the impact of having different lots in production the initial maximum amount for each lot is changed and a Tabu Search based procedure is used to improve the solutions. The developed approaches will be evaluated and tested. A special attention will be given to the solution of real applied problems. Future work may include the study of other neighbourhood structures related to Tabu Search and the development of ways to speed up the evaluation of neighbours, as well as improving the balancing solution method.