Mass Going to Digester, a Methodology for Managerial Decision-making during Palm Oil Fruit Processing
Publicación:
Palmas; Vol. 42 Núm. 1 (2021); 141-148
2744-8266
0121-2923
Palmas; Vol. 42 Núm. 1 (2021); 141-148
2744-8266
0121-2923
Abstract
Mass going to digester (MGD) is a methodology for the analysis and determination of oil potentials, which arises from the need of the mills to quantify the extractable oil from the palm fruit of a specific supplier, or a series of them, and to know how they affect the general Oil Extraction Rate (OER) of the mill, doing it in an economical way, but while it is reliable. In addition, it seeks to help to identify, based on the data obtained from the composition of the fruit, the causes of low extractions, which allow generating strategies to achieve higher extraction levels, avoiding said errors throughout the different links of the process, from the field to the mill. de aceite, que surge de la necesidad de las plantas de beneficio de cuantificar el aceite extraíble del fruto de palma de un proveedor específico, o una serie de ellos, y de saber cómo estos afectan la tasa de extracción de aceite (TEA) general de la planta, realizándolo de una manera económica, pero a la vez, confiable. Además, busca ayudar a identificar con base en los datos obtenidos de la composición del fruto, las causas de bajas extracciones, que permitan generar estrategias para alcanzar niveles más altos, evitando dichos errores a lo largo de los distintos eslabones del proceso, desde el campo hasta la planta de beneficio.
Mass going to digester (MGD) is a methodology for the analysis and determination of oil potentials, which arises from the need of the mills to quantify the extractable oil from the palm fruit of a specific supplier, or a series of them, and to know how they affect the general Oil Extraction Rate (OER) of the mill, doing it in an economical way, but while it is reliable. In addition, it seeks to help to identify, based on the data obtained from the composition of the fruit, the causes of low extractions, which allow generating strategies to achieve higher extraction levels, avoiding said errors throughout the different links of the process, from the field to the mill.