Browsing by Author "Pinto, Carla M. A."
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- Analyzing the Implementation of Lean Methodologies and Practices in the Portuguese Industry: A SurveyPublication . Pinto, Carla M. A.; Mendonça, Jorge; Babo, Lurdes; Silva, Francisco J. G.; Fernandes, José L. R.The mass production paradigm on which much of the industry was based has changed. The market is increasingly demanding, requesting diversity and products that are more and more adapted to personal wishes and requirements. This implies producing a greater diversity of products in smaller quantities. Competitiveness is enormous, which forces most companies to be truly effective and efficient, taking care of product quality, delivery time, and final cost. Lean methodologies have been a valuable aid in this field. The diversity of Lean tools has been shown to have answers to the most diverse challenges, and companies are aware of this, increasingly adopting methodologies and processes that aim to progressively reduce waste and adapting their production paradigm to what the market requires. This work intends to provide a vision, as global as possible, of the pathway of Lean implementation in the Portuguese industry. For this purpose, a survey was carried out with a significant sample of Portuguese industrial companies from a wide range of activity sectors. The data collected through the survey were treated statistically, and then a SWOT analysis of the results was performed, which provided a collection of precious information on the evolution of industrial companies in Portugal.
- Design of auxiliary model based normalized fractional gradient algorithm for nonlinear output-error systemsPublication . Chaudhary, Naveed Ishtiaq; Khan, Zeshan Aslam; Kiani, Adiqa Kausar; Raja, Muhammad Asif Zahoor; Chaudhary, Iqra Ishtiaq; Pinto, Carla M. A.A new avenue of fractional calculus applications has emerged that investigates the design of fractional gradient based novel iterative methods for analyzing fractals and nonlinear dynamics in solving engineering and applied sciences problems. The most discussed algorithm in this regard is fractional least mean square (FLMS) algorithm. This study presents an auxiliary model based normalized variable initial value FLMS (AM-NVIV-FLMS) algorithm for input nonlinear output error (INOE) system identification. First, NVIV-FLMS is presented to automatically tune the learning rate parameter of VIV-FLMS and then the AM-NVIV-FLMS is introduced by incorporating the auxiliary model idea that replaces the unknown values of the information vector with the output of auxiliary model. The proposed AM-NVIV-FLMS scheme is accurate, convergent, robust and reliable for INOE system identification. Simulation results validate the significance and efficacy of the proposed scheme.
- Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing SystemsPublication . Silva, Francisco J. G.; Pinto Ferreira, Luís; Sá, José Carlos; Pereira, Maria Teresa Ribeiro; Pinto, Carla M. A.This volume of LectureNotes in Mechanical Engineering (LNME) is one of two volumes including papers selected from the 32nd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2023), held in Porto, Portugal, from June 18 to 22, 2023. The FAIM 2023 conference was organized by the School of Engineering, Polytechnic of Porto, located in Porto, Portugal. Flexible Automation and Intelligent Manufacturing (FAIM) is a renowned international forum for academia and industry to disseminate novel research, theories, and practices relevant to automation and manufacturing. For over 30 years, the FAIM conference has provided a strong and continuous presence in the international manufacturing scene, addressing both technology and management aspects via scientific conference sessions, workshops, tutorials, and industry tours. Since 1991, FAIM has been hosted in prestigious universities on both sides of the Atlantic and, in recent years, in Asia. The conference attracts hundreds of global leaders in automation and manufacturing research whoattend program sessions where rigorously peer-reviewed papers are presented during themultiple-day conference. The conference links researchers and industry practitioners in a continuous effort to bridge the gap between research and implementation. FAIM 2023 received more than 400 contributions from over 40 countries and over 220 institutions around the world. After a two-stage double-blind review, the technical program committee accepted 263 papers. From these, 242 papers have been included in two LNME volumes, and 21 extended papers are published as fast-track articles in Robotics and Computer-Integrated Manufacturing and The International Journal of Advanced Manufacturing Technology. A selection of these LNME articles will be invited to submit substantially extended versions to special issues in ten international indexed journals, such as the International Journal of Computer Integrated Manufacturing, Journal of Mechanical Engineering Science, Journal of Testing and Evaluation, Sustainability journal, Machines journal, Metals journal, Actuators journal, Systems journal, FME Transactions journal, and Technological Sustainability journal. We are grateful to the authors for their contributions and would like to acknowledge the FAIM steering committee, advisory board committee, honorary chairs, the scientific committee members, and manuscript reviewers for their significant efforts, continuous support, sharing their expertise, and conducting manuscript reviews.Manuscript reviewers came from various locations around the world, performing 1339 reviews in total. With such effort and toughness, the high standards of the papers included in the FAIM program have been kept.
- In memory of Professor José António Tenreiro Machado (1957–2021)Publication . Pinto, Carla M. A.; Lopes, António M.; Galhano, Alexandra M. S. F.Professor José António Tenreiro Machado (Fig. 1) was born on October 6, 1957, in Pinhel, Portugal, and passed away, unexpectedly on October 6, 2021. At the age of two, after his mother separated from his father, he and his mother went to live with his maternal grandparents in Porto. His grandparents were his family pillars. At the age of fifteen, his grandmother died of cancer and, two years later, his grandfather got remarried. In high school, he became an excellent student and started giving private lessons to other high school students, while continuing his studies. As a university student, he carried on tutoring his university peers. With this income, he paid his studies and also helped his mother financially. During the same period, he was a chess player and won many trophies. He finished his Electrical Engineering degree with the highest classification and received the Eng∘ Cristiano P. Spratley award from the University of Porto.
- A model for type I diabetes in an HIV-infected patient under highly active antiretroviral therapyPublication . Chávez, Joseph Páez; Wijaya, Karunia Putra; Pinto, Carla M. A.; Burgos-Simón, ClaraType 1 diabetes (T1D), previously known as juvenile diabetes or insulin-dependent diabetes, is an autoimmune disease characterized by the insufficient (or lack of) production of insulin by the pancreas. Insulin is crucial to maintain blood sugar at healthy levels. High blood sugar damages the body and causes a variety of symptoms, ranging from severe thirst, fatigue, to urinary infections. The cells responsible for the production of insulin are the -cells. In T1D, these are killed by an abnormal response of the immune system. Specific clones of cytotoxic T-cells invade the pancreatic islets of Langerhans, and eliminate them. T1D diabetes may develop in human immunodeficiency virus (HIV)-infected patients, though in rare situations. In this paper, we propose a cell model for the development of T1D in these patients, after immune restoration, during highly active antiretroviral therapy (HAART). The study includes the derivation of the qualitative properties of the model, and its comprehensive investigation via path-following methods, using the continuation platform COCO. In this way, the main theoretical predictions are verified in detail. Furthermore, this numerical part establishes accurate parameter thresholds to ensure an effective disease treatment in HIV-infected persons to prevent the development of T1D.
- Modified SIQR model for the COVID‐19 outbreak in several countriesPublication . Pinto, Carla M. A.; Tenreiro Machado, J. A.; Burgos‐Simón, ClaraIn this paper, we propose a modified Susceptible-Infected-Quarantine-Recovered (mSIQR) model, for the COVID-19 pandemic. We start by proving the well-posedness of the model and then compute its reproduction number and the corresponding sensitivity indices. We discuss the values of these indices for epidemiological relevant parameters, namely, the contact rate, the proportion of unknown infectious, and the recovering rate. The mSIQR model is simulated, and the outputs are fit to COVID-19 pandemic data from several countries, including France, US, UK, and Portugal. We discuss the epidemiological relevance of the results and provide insights on future patterns, subjected to health policies.