ANÁLISE DAS PERDAS NO PROCESSO DE ERVA-MATE: UM ESTUDO DE CASO DA EMPRESA ERVA-MATE BUENA

O trabalho procura exemplificar detalhes sobre a administração da produção, citando os sistemas kanban, just in time (jit), as sete perdas e Gantt, fórmulas utilizadas para identificar impactos negativos no processo e vantagens ou desvantagens dentro de uma organização. A pesquisa foi elaborada observando o processo de produção da empresa Erva-mate Buena, identificando e propondo soluções no processo produtivo da empresa para melhor aproveitamento de tempo e distribuição de serviços. Para que sejam identificadas perdas, aplicou-se um questionário, contendo todos os detrimentos e suas possíveis consequências, assim, pode-se perceber quais perdas a empresa está sofrendo em seu processo, propondo melhorias para tentar evita-las. Foi aplicado no setor do estoque de embalagem o sistema Kanban, após identificar grandes perdas de tempo na reposição de estoque e produção, optou-se por colocar as etiquetas verdes para estoque completo, vermelho para estoque mínimo e amarelo para reposição. Com a aplicação do método, o processo flui em melhor sintonia, sem paradas por parte dos funcionários, diminuindo então o lead time e aumentando a produtividade no setor.  Baseado em um trabalho científico-jornalístico, a metodologia consiste na exatidão das informações, visto que nessa etapa, os dados coletados formulam uma análise verídica sobre a situação empresarial. Acredita-se que os sistemas aplicados foram de grande relevância na organização estudada, pois foi possível identificar as perdas no processo produtivo e assim encontrar uma forma de melhoria

Infestação de plantas daninhas após diferentes coberturas invernais em espaçamentos e populações variados na cultura do milho.

O uso de técnicas integradas para o manejo de plantas daninhas torna-se uma ferramenta para adoção de manejo mais sustentável

The reliability of side to side measurements of upper extremity activity levels in healthy subjects

<p>Abstract</p> <p>Background</p> <p>In both clinical and occupational settings, ambulatory sensors are becoming common for assessing all day measurements of arm motion. In order for the motion of a healthy, contralateral side to be used as a control for the involved side, the inherent side to side differences in arm usage must be minimal. The goal of the present study was to determine the reliability of side to side measurements of upper extremity activity levels in healthy subjects.</p> <p>Methods</p> <p>Thirty two subjects with no upper extremity pathologies were studied. Each subject wore a triaxial accelerometer on both arms for three and a half hours. Motion was assessed using parameters previously reported in the literature. Side to side differences were compared with the intraclass correlation coefficient, standard error of the mean, minimal detectable change scores and a projected sample size analysis.</p> <p>Results</p> <p>The variables were ranked based on their percentage of minimal detectable change scores and sample sizes needed for paired t-tests. The order of these rankings was found to be identical and the top ranked parameters were activity counts per hour (MDC% = 9.5, n = 5), jerk time (MDC% = 15.8, n = 8) and percent time above 30 degrees (MDC% = 34.7, n = 9).</p> <p>Conclusions</p> <p>In general, the mean activity levels during daily activities were very similar between dominant and non-dominant arms. Specifically, activity counts per hour, jerk time, and percent time above 30 degrees were found to be the variables most likely to reveal significant difference or changes in both individuals and groups of subjects. The use of ambulatory measurements of upper extremity activity has very broad uses for occupational assessments, musculoskeletal injuries of the shoulder, elbow, wrist and hand as well as neurological pathologies.</p

Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Background: Wearable sensors are portable measurement tools that are becoming increasingly popular for the measurement of joint angle in the upper limb. With many brands emerging on the market, each with variations in hardware and protocols, evidence to inform selection and application is needed. Therefore, the objectives of this review were related to the use of wearable sensors to calculate upper limb joint angle. We aimed to describe (i) the characteristics of commercial and custom wearable sensors, (ii) the populations for whom researchers have adopted wearable sensors, and (iii) their established psychometric properties. Methods: A systematic review of literature was undertaken using the following data bases: MEDLINE, EMBASE, CINAHL, Web of Science, SPORTDiscus, IEEE, and Scopus. Studies were eligible if they met the following criteria: (i) involved humans and/or robotic devices, (ii) involved the application or simulation of wearable sensors on the upper limb, and (iii) calculated a joint angle. Results: Of 2191 records identified, 66 met the inclusion criteria. Eight studies compared wearable sensors to a robotic device and 22 studies compared to a motion analysis system. Commercial (n = 13) and custom (n = 7) wearable sensors were identified, each with variations in placement, calibration methods, and fusion algorithms, which were demonstrated to influence accuracy. Conclusion: Wearable sensors have potential as viable instruments for measurement of joint angle in the upper limb during active movement. Currently, customised application (i.e. calibration and angle calculation methods) is required to achieve sufficient accuracy (error < 5°). Additional research and standardisation is required to guide clinical application