Version 1
: Received: 9 November 2020 / Approved: 10 November 2020 / Online: 10 November 2020 (15:09:37 CET)
How to cite:
Sallum, E. Development of a Data Analysis and Performance Evaluation System Through the Integration of Festo MPS Stations. Preprints2020, 2020110321. https://doi.org/10.20944/preprints202011.0321.v1
Sallum, E. Development of a Data Analysis and Performance Evaluation System Through the Integration of Festo MPS Stations. Preprints 2020, 2020110321. https://doi.org/10.20944/preprints202011.0321.v1
Sallum, E. Development of a Data Analysis and Performance Evaluation System Through the Integration of Festo MPS Stations. Preprints2020, 2020110321. https://doi.org/10.20944/preprints202011.0321.v1
APA Style
Sallum, E. (2020). Development of a Data Analysis and Performance Evaluation System Through the Integration of Festo MPS Stations. Preprints. https://doi.org/10.20944/preprints202011.0321.v1
Chicago/Turabian Style
Sallum, E. 2020 "Development of a Data Analysis and Performance Evaluation System Through the Integration of Festo MPS Stations" Preprints. https://doi.org/10.20944/preprints202011.0321.v1
Abstract
Industria 4.0 is present in smart and digital manufacturing, making manufacturing companies improve productivity, reducing delivery time and related costs. The objective of this work is to demonstrate through three integrated MPS Festo stations (Distribution, Pick \& Place and Sorting), using the Internet of Things and Google Analytics technologies, the benefits in relation to remote performance monitoring. The intended objective is achieved through the implementation of the monitoring system at the three MPS Festo stations. The data obtained through the integration of the Festo stations and their respective sensors are processed and analyzed in a cloud infrastructure, so that the main metrics are visualized and transmitted on a panel. This monitoring system improves the perception of process performance, as the main performance metrics are displayed, such as productivity, cycle time and parts produced. The cloud infrastructure allows remote viewing and monitoring of the system.
Keywords
MPS FESTO workstation; production management; cloud computing; process management; Android; iOS; RFID
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
