Statistical analysis of equipment maintenance time in the food industry: a case study to identify sources of impact on performance

Abstract

The main goal of this work is related to a study of the maintenance of equipment in a food industry located in São Paulo state, Brazil, using statistical methodology. Several factors can affect the performance of each equipment, for example, type of equipment, fault code, the reason for failure, site installation and technical knowledge of the maintenance workers. From a statistical approach, the maintenance times of the equipments are analyzed under different statistical modeling. The results of this analysis can be of great interest to managers and industry leaders regarding planning on the use of the equipment, detection of the greatest risks in the use of the equipment and to minimize the maintenance stopping times. All these results are of great importance under the production engineering approach in the optimization of its resources.