bachelorThesis
Estudo de caso: identificação de pontos críticos causadores desobrepeso em produtos embalados de uma linha de produção da indústria alimentícia auxiliado por data analytics
Fecha
2018-06-29Registro en:
Selbach, Alexandre Cesar. Estudo de caso: identificação de pontos críticos causadores desobrepeso em produtos embalados de uma linha de produção da indústria alimentícia auxiliado por data analytics. 2018. Trabalho de Conclusão de Curso (Graduação em Engenharia Mecânica) – Universidade Tecnológica Federal do Paraná, Curitiba, 2018.
Autor
Selbach, Alexandre Cesar
Resumen
The problem addressed in this work is how the analysis of Dashboards results in benefits for the identification of critical points causing overweight in chocolate products of a food industry located in the city of Curitiba – Paraná. This work differs from others already studied since it focuses on identifying graphically and interactively the main opportunities related to overweight in the production line studied. It was used Tableau@ software for formatting the Dashboards and the study analyzed approximately 200,000 records registered in the databases, such as Excel@ and SAP@ of the company from 02/01/2017 to 12/30/2017. This amount of data called Big Data and it has been available by areas such as Manufacturing, Quality and Research and Development (R&D). Although the three areas work together to guarantee the process, the amount of data recorded by each is very large, making it impossible to clearly analyze the patterns or trends. As a result, Dashboards enabled more in-depth analysis in a number of ways and found opportunities related to the format (weight) of chocolates, noncompliance in employee records, and balance of records between shifts and months.