A review on multi-criteria decision-making for energy efficiency in automotive engineering. Issue 1 (27th July 2020)

• Record Type: Journal Article
• Authors: Castro, Djan Magalhaes; Silv Parreiras, Fernando
• Is Part Of: Applied computing and informatics. Volume 17:Issue 1(2021)
• Page Start: 53
• Page End: 78
• Publication Date: 2020-07-27
• Subjects: Multiple criteria analysis -- Multi-criteria decision management -- Energy efficiency; Information science -- Periodicals; Information storage and retrieval systems -- Periodicals; 004
• DOI: 10.1016/j.aci.2018.04.004
• Languages: English
• ISSNs: 2210-8327

Abstract

Abstract : Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.