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
Link To Document :
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