• DocumentCode
    694041
  • Title

    Prediction of energy consumption indices in the automotive industry

  • Author

    Almeida, Adauto ; Azevedo, A. ; Caldas, A.

  • Author_Institution
    Fac. of Eng., Univ. of Porto, Porto, Portugal
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    285
  • Lastpage
    289
  • Abstract
    Since the automotive industry is one of the most competitive markets, key players should be capable of evolving their management strategy from a reactive to proactive approach. This way, it is critical for this type of companies to explore a new performance management approach where an effective interaction between the strategic and operational layers should be achieved. In line with this vision, a framework is presented that helps stakeholders make decisions based on the ability to anticipate future performance behaviours. Using leading indicators as reference, the key idea is to structure and model the existing knowledge within a mathematical tool, in order to project the manufacturing system´s behaviour into the future. In order to show the reliability and importance of this framework, this paper presents a research performed at an automotive plant. The aim is to model the factors affecting energy consumption and thus estimate the future behaviour in terms of sustainability issues.
  • Keywords
    automobile industry; energy consumption; sustainable development; automotive industry; competitive markets; energy consumption index; performance management approach; stakeholder decisions; sustainability issues; Companies; Energy consumption; Estimation; Manufacturing systems; Paints; Vehicle dynamics; Automotive Industry; Estimation; Machine Learning; Performance Management; Sustainability; Systems Dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962419
  • Filename
    6962419