Aplicação do controle estatístico de processo para o envase de garrafas de iogurtes em uma indústria de laticínios

Abstract

Nowadays, quality is synonymous with products or goods and services within established standards, encompassing customer requirements, while still providing safety. This makes companies look for process improvement tools, have greater control over their inputs and associate quality with the growth of their business. However within the processes there is variability, which may be present from the selection of the raw material to the output of the finished product, which results in low quality products. Statistical process control directly assists in detecting the causes of this variation and can be an excellent tool for maintaining a controlled and profitable process. This work was carried out in a large industry in Garanhuns-PE with the objective of applying statistical process control in a yogurt production line, seeking to add even more quality to the process, and to detect the causes for variation in the net weight of these yoghurt. products. The systematic sampling method was performed to collect samples on the production line. Weighing of samples was performed on an analytical balance, obeying the established frequency of collection for weighing each sample. Control and monitoring graphs were made for the variables (Mean (𝑋̅) and amplitude (R) graphs), and control graphs for process monitoring for finished product packaging attributes were plotted (Number graph). defects in the sample (C)). New specification limits for the process were suggested and it was found that with them the process was capable, so that this is possible requires the analysis of the special causes of the process, performed using the cause and effect diagram, in order to eliminate them, thus making the process under control. The graph for attributes showed that there are 0.38 defects per data collection. The monitoring graphs pointed out that the monitored variables and attributes are under control. This work monitored a variable and some attributes identified in the yogurt production line, its results allow the expansion of the implementation in other lines of the factory, in order to perpetuate the application of CEP at all stages of the process.