No abstract

No abstract

No abstract

No abstract

No abstract

RESUMO O Método do Índice de Qualidade é um sistema de controle de qualidade do frescor do pescado e baseia-se na avaliação objetiva dos principais atributos sensoriais de cada espécie de peixe, através de um sistema de pontos de demérito. O MIQ é baseado na avaliação visual e olfativa de certos INTRODUÇÃOQualidade e segurança dos alimentos são questões de grande relevância, principalmente no cenário internacional. Em termos minimalistas, podese dizer que qualidade se refere às características que tornam os alimentos aceitáveis para os consumidores.De uma forma mais abrangente, NUNES et al. (2007) defendem que a qualidade dos alimentos pode ser determinada por diversos aspectos dos quais se destacam: higiene, valor nutricional e dietético, frescor, facilidade de utilização pelo consumidor, suas propriedades intrínsecas (sensoriais) e disponibilidade.No caso do pescado, o frescor tem grande importância pelo fato de constituir o principal critério que determina a sua aceitação. O pescado é avaliado pelos consumidores com um rigor ainda maior do que muitos outros alimentos, por ser um alimento mais sensível e perecível, quando comparado com outros produtos de origem animal, seja por fatores inerentes ao pescado, seja por fatores extrínsecos, -REVISÃO BIBLIOGRÁFICA -

Decision support visualization tools provide insights for solving problems by displaying data in an interactive, graphical format. Such tools can be effective for supporting decision-makers in finding new opportunities and in measuring decision outcomes. In this study, was used a visualization tool capable of handling multivariate time series for studying a problem of operational control in a textile manufacturing plant; the main goal was to identify sources of inefficiency in the daily production data of three machines. A concise rule-based model of the inefficiency measures (i.e. quantitative measures were transformed into categorical variables) was developed and then performed an in-depth visual analysis using a particular technique, the categorical time series plots stacked vertically. With this approach were identified a wide array of production inefficiency patterns, which were difficult to identify using standard quantitative reporting -temporal pattern of best and worst performing machines -and critically, along with most important sources of inefficiency and some interactions between them were revealed. The case study underlying this work was further contextualized within the state of the art, and demonstrates the effectiveness of adequate visual analysis as a decision support tool for operational control in manufacturing.

Today's marketplace imposes ever-tightening product pricing and quality requirements, shorter delivery times, and increasingly customized products. With increasing competition in today's global market, companies are increasingly pressured to improve the performance of their production systems in order to be more competitive and improve market share. In order to try to satisfy these requirements several companies seek for the application of methodologies that may enable them to respond to these challenges, such as the ones based on the Lean Manufacturing philosophy. In this work standard times of four extruders are determined and updated in the context of setup time's analysis and minimization in a company, in Portugal. First, a diagnosis is made to the tire floor extrusion process in order to evaluate all of its inefficiencies with the greatest impact on the production process, after the standard time of each extruder is analysed and updated through an extended approach which does also consider setup times reduction, along with the production times, for reaching a higher process optimization rate and productivity in the underlying production system.