Research Article

Big Data Analysis Proposal for Manufacturing Firm

Alicia Valdez
Autonomous University of Coahuila, Mexico
* Corresponding author
Griselda Cortes
Autonomous University of Coahuila, Mexico
Laura Vazquez
Autonomous University of Coahuila, Mexico
Adriana Martinez
Autonomus University of Coahuila, Mexico
Gerardo Haces
Autonomous University of Tamaulipas, Mexico
DOI icon 10.24018/ejece.2021.5.1.298

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Submitted 2021-02-02
Published 2021-02-15

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Table of Contents

Article Main Content

The analysis of large volumes of data is an important activity in manufacturing companies, since they allow improving the decision-making process. The data analysis has generated that the services and products are personalized, and how the consumption of the products has evolved, obtaining results that add value to the companies in real time.

In this case study, developed in a large manufacturing company of electronic components as robots and AC motors; a strategy has been proposed to analyze large volumes of data and be able to analyze them to support the decision-making process; among the proposed activities of the strategy are: Analysis of the technological architecture, selection of the business processes to be analyzed, installation and configuration of Hadoop software, ETL activities, and data analysis and visualization of the results. With the proposed strategy, the data of nine production factors of the motor PCI boards were analyzed, which had a greater incidence in the rejection of the components; a solution was made based on the analysis, which has allowed a decrease of 28.2% in the percentage of rejection.

Keywords: Big data, Data analytics, Hadoop, Power BI

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