Data mining of energy consumption in manufacturing environment

Andre Dionisio Rocha, João Aires Tapadinhas, Luis Flores, Jose Barata Oliveira

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Markets and consequently manufacturing companies are facing an unprecedented challenge. The constant markets demand of more and more customized and personalized products combined with the recent evolution of information technologies, brought to the manufacturing world the integration of new solutions previously unimaginable in a production environment. Hence, in the last years manufacturing systems were changing and nowadays each component present in the shop floor generates a huge amount of data that is usually not used. In this paper the authors present a framework capable to deal with all this data generated from a production cell in the automotive industry and reduce the energy consumption. Firstly, it is described how the information is extracted and how the data clustering is done, then the data mining process and management are presented, together with the obtained results.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages157-166
Number of pages10
Volume694
DOIs
Publication statusPublished - 2017

Publication series

NameStudies in Computational Intelligence
Volume694
ISSN (Print)1860-949X

Keywords

  • Data mining
  • Energy consumption
  • Manufacturing

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