A Big Data / Analytics Platform for Industry 4.0 Implementation in SMEs

EasyChair Preprint no. 1031

Abstract

Industrial companies operate in an increasingly competitive international environment. SMEs are among the most weak companies in this context and need to continuously innovate to increase their competitiveness, productivity and the quality of their products. Digital transformation, one of the foundations of Industry 4.0, is therefore fundamental to meeting these innovation challenges. The objective of the study is to present the methodology, development and implementation of a new cloud computing platform to collect, store and process data from industrial SME shopfloors.companies' manufacturing shopfloors employ more and more connected and intelligent devices producing thousands of data that once computed achieve a high added value. The study presents the architecture for collecting this data and storing it in a Big Data solution, and then processing it with advanced artificial intelligence algorithms and/or optimization techniques. This platform has been developed with the aim of minimizing complexity and costs to facilitate the adoption of the platform by SMEs. The implementation and evaluation of the platform was carried out in three companies from three different sectors of Brazilian industry.

Keyphrases: Artificial Intelligence, Big Data, Big Data Analytic, Cloud Computing, Industry 4.0, Smart Manufacturing

@Booklet{EasyChair:1031,
  author = {Renan Bonnard and Kléber Magno Maciel Vieira and Márcio da Silva Arantes and Rodolfo Lorbieski and Marcelo Canzian Nunes and André Pierre Mattei},
  title = {A Big Data / Analytics Platform for Industry 4.0 Implementation in SMEs},
  howpublished = {EasyChair Preprint no. 1031},

  year = {EasyChair, 2019}}