The objective of this work is to optimize a shipyard facility layout through required departments' closeness conditions to minimize total material handling cost. In order to resolve this type facility layout problem, departments' closeness conditions must be respected when the manufacturing and material handling processes require it according to the supply and movement requirements throughout production flow, especially when the activity requires material handling equipment of common use between departments. As a result of this work the optimization is achieved through the implementation of a stochastic sequential algorithm, comprising the following steps: 1) Topological Optimization from a Genetic Algorithm, 2) Transferring the centroid coordinates of each department from the topological grid to the geometrical grid from a computational procedure, and 3) Geometrical Optimization from a Stochastic Growth Algorithm, with a fine-tuning of the solution achieved using the Electre Method and a Local Search Method. Computational experiments were performed to prove the effectiveness of the system and evaluate the performance of each algorithm listed in the scope of the proposed solution. We have proved that the proposed Sequential Structure of Algorithms can successfully solve the problem. Computational experiments results are also presented in the supplementary material of this work.

The digital era represents significant changes in the design of IT projects with an emphasis on digital infrastructure, especially in terms of investment and professional qualification, which requires, in Brazil, the creation of specific lines of financing by government development agencies. The creation of demonstration platforms could be an effective initiative to stimulate the dissemination of the concept and the establishment of partnerships between customers and suppliers of new technologies. On the other hand, and particularly for the consumer market, corporations can create new business models and modify their relationships with their consumers, users and even competitors. In fact, today, "Thing Internet" has come to significantly modify the paradigms of perception, production and distribution of the capitalist world. This article discusses, covering and understanding the main reasons for the existence of this gap between theory and practice regarding digital manufacturing and adjacencies, the perspectives of technological innovations in the digital era specifically in Brazil. Its content is the result of a bibliographical review carried out from April to June 2016.

This article explores the emerging field of Healthcare 4.0, which integrates advanced technologies from Industry 4.0 to enhance decision-making processes in the healthcare context. As the healthcare landscape evolves, there is a pressing need to understand how these innovations can support clinical and operational management, ultimately improving patient outcomes and healthcare efficiency. This study employs a systematic literature review (SLR) methodology to investigate the current state of research on Healthcare 4.0 solutions, focusing on their applications across various healthcare sectors. The main scientific databases were considered and we evaluated peer-reviewed articles published in scientific journals until July 2024. The review identifies key themes, trends, and gaps in the literature, revealing that while the field is still in its infancy, there is a notable increase in publications, indicating growing interest and potential for future research. The findings categorize applications into several areas, including hospital general facilities and specific environments, highlighting the diverse contexts in which Healthcare 4.0 technologies are being implemented. Additionally, the study examines the geographical distribution of research, with a significant emphasis on developments in Asia and Europe. Regarding the decision objectives, we highlight the use of Healthcare 4.0 solutions to improve the performance of activities related to data exchange, diagnosis, and patient monitoring. Furthermore, considering the main techniques and tools adopted by the authors, Artificial Intelligence, Internet of Things, and Blockchain stand out, as well as hybrid approaches which integrate different solutions. By synthesizing these insights, the article contributes to a deeper understanding of how Healthcare 4.0 can transform decision-making in health facilities, offering directions for future research and practical implications for healthcare researchers and professionals.

The proposed study is related to the identification of important factors that determine the feasibility of regional airport hubs in São Paulo State, Brazil. This way, new perspectives are created to map airports in this region based on economic criteria of operations and volumes. The study is based on statistical data analysis of time series related to operations and volume of passengers and cargo transport data sets during a fixed period of time. Stochastic volatility models are applied for the logarithmic transformed counting data set considering the four largest airports selected from a group of 32 airports in the São Paulo State chosen by their importance in the amount of passenger and cargo for the period ranging from the year 2008 to the year 2014. This study is a new approach in the analysis of air transport time series.

The present work carried out the control of the variability in the biodiesel packaging through the application of the steps of the DMAIC (Define Measure, Analyze, Improve and Control) of the Six Sigma quality program. The DMAIC method brings together a set of statistical and quality tools for the study of process variability. Prior to the project, in the period evaluated between June and October of the year 2017 the average monthly variation of loss was 387.7 liters with a standard deviation of 421.9 liters. After the implementation of the improvements between January and March of the year 2018, the average monthly variation was -3.187 liters with a standard deviation of 60.95 liters. This evolution in the control and reduction of losses in the container of biodiesel was possible through the actions of improvements and involvement of the people of the billing and shipping. After all the improvements implemented, the maintenance and continuity of the controls met two important requirements of the Six Sigma quality program: customer focus and financial impact.