Recommendations were made to improve the workstation and change the routine to minimize the discomfort and ergonomic risk factors.

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The objective of this study was to balance the production line and analyze the layout of the sewing sector in a furniture industry. Using the Arena software, a simulation model was constructed that represented the real system consisting of a cellular layout with 3 groups of 5 seamstresses, who produced 57 different types of products divided into three families, in a daily working day of 625 minutes in the months of February to August and 725 minutes in the months of September to January. The model was quantitatively validated among the managers of the studied industry. The obtained results allowed conclusions with an error of less than 1% in the daily quantity of pieces produced with 99% statistical confidence. Therefore, three scenarios related to the organization of the work environment and the balancing of the production line were constructed, and those include: i) linear layout, and the balancing allowed the division of five seamstresses for families 1 and 2, and three seamstresses for family 3; ii) study of the layout by processes, so that the best balance was constituted of two groups with seven seamstresses; iii) similar to scenario 2 but with six seamstresses in group 1 and seven seamstresses in group 2. It was verified that the modified, alternative scenario 2 is more advantageous for the organization, since it presents greater productivity compared to all other scenarios and to the real system, so the company can increase its production capacity by simply modifying the layout and organizing the work environment.

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Rural credit policies have a strong impact on food production and food security. The attribution of credit policies to agricultural production is one of the main problems preventing the guarantee of agricultural expansion. In this work, we conduct family typology analysis applied to a set of research data to characterize different regions. Through genetic programming, a model was developed using user-defined terms to identify the importance and priority of each criterion used for each region. Access to credit results in economic growth and provides greater income for family farmers, as observed by the results obtained in the model for the Sul region. The Nordeste region indicates that the cost criterion is relevant, and according to previous studies, the Nordeste region has the highest number of family farming households and is also the region with the lowest economic growth. An important aspect discovered by this research is that the allocation of rural credit is not ideal. Another important aspect of the research is the challenge of capturing the degree of diversity across different regions, and the typology is limited in its ability to accurately represent all variations. Therefore, it was possible to characterize how credit is distributed across the country and the main factors that can influence access to credit.