Elaboración de un programa informático para la toma de decisiones del requerimiento de mano de obra en el área de poscosecha perteneciente a plantaciones Malima CIA. LTDA.

Abstract

The thesis was conducted in Malima Plantations Co. Ltd. in the postharvest area, this involves the following stages: Classification in green, Opening Process, Classification in white, Packaging in Cold Rooms. Each stage involves a survey of processes in its different varieties of flowers that are processed. These belong to the family denominated Gypsophila and they are called Million Stars and Cassiopeia. The largest number of workers that postharvest demanded is in classification and post classification. Determining the number of people required and the necessary hours to accomplish the demand will depend on the volume of production and the variables involved that are: Grade Stem, Labor Day, the Learning Curve and Pest Problems. One of the most important variables is the learning curve which was obtained by determining the standard time in different degrees and taking into account the presence or absence of pests or diseases. It is performed by a comparison with timer and a study comparing the data with historical data and current learning curves used by the company. The variables obtained by analysis are related by matrices which bind them with production inputs, working hours, pest or disease. This relationship will give us an answer for taking decision about hand work. The software was made in Excel 2007.