En Cenicafé se desarrolló un método a través del cual se utiliza un dispositivo sencillo, con el que se determina objetiva y confiablemente el punto de lavado.
Manufacturing transitions have been increasing due to higher pressures for product variety. One dimension of this variety is color. A major quality control challenge is to regulate the color by capturing data on color in real-time during the operation and to use it to assess the opportunities for good parts. Control charting, when applied to a stable state process, is an effective monitoring tool to continuously check for process shifts or upsets. However, the presence of transition events can impede the normal performance of a traditional control chart. In this paper, we present an integrated model for statistical and vision monitoring using a tracking signal to determine the start of the transition and a confirmation signal to ensure that any process oscillation has concluded. We also developed an automated color analysis and forecasting system (ACAFS) that we can adjust and calibrate to implement this methodology in different production processes. We use a color transition process in plastic extrusion to illustrate a transition event and demonstrate our proposed methodology.
Con el fin de contribuir al control de la recolección en el campo, se condujo un estudio para desarrollar una herramienta práctica, exacta, económica y fácil de usar, que permitiera medir el contenido de frutos verdes durante la cosecha, de tal manera que puedan tomarse acciones correctivas que permitan tener un café de buena calidad en la tolva de recibo del beneficiadero. Este Avance Técnico muestra los resultados de la optimización de las variables masa y volumen de los frutos de café, para obtener el desarrollo del método con el recipiente Mediverdes.
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