Desarrollo de un plan de mantenimiento preventivo para los equipos de fotocopiado industrial mediante el procesamiento de datos masivos para la empresa Cosup ltda

Abstract

The objective of this project is to elaborate a preventive maintenance plan using new software technologies such as the use of automatic learning of massive data, where new maintenance records are efficiently generated for subsequent plans to be elaborated. In this study, the systems of a photocopier rental and maintenance service company that has its clients in different sectors of the country are analyzed.

The stages are:

- Identification of the photocopying equipment that the company maintains.

- Preparation of the preventive maintenance plan using machine learning.

- Coding of the algorithm for machine learning.

By knowing all the equipment, its operation and the failure modes, the maintenance plan is drawn up for each of the systems that make up the equipment. Automatic learning enables the collection and processing of data, subsequently the algorithm enables learning from the data and in this way efficiency improves the performance of the company's technicians for future maintenance.