Company performance measurement for automobile companies: A composite indicator from an environmental perspective

Qinqin Zeng, Wouter W.A. Beelaerts Van Blokland, Sicco C. Santema, Gabriel Lodewijks

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
58 Downloads (Pure)

Abstract

Current research in the field of performance measurement hasn't presented a rigorous composite indicator for quantifying company performance, with environmental indicators for automobile companies. This paper aims to construct this missing composite indicator. A new approach is developed, including techniques of fuzzy logic, analytic network process, the entropy theory and a geometric mean with unequal weights. The method is transparent, and the composite indicator derived can serve as a statistical tool for benchmarking. A case study is conducted in six leading automobile companies with data from the fiscal year 2016.

Original languageEnglish
Title of host publicationProceedings 2018 5th International Conference on Industrial Engineering and Applications (ICIEA 2018)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages391-395
ISBN (Electronic)978-1-5386-5748-5
ISBN (Print)978-1-5386-5747-8
DOIs
Publication statusPublished - 2018
EventICIEA 2018: 5th International Conference on Industrial Engineering and Applications - Singapore, Singapore
Duration: 26 Apr 201828 Apr 2018

Conference

ConferenceICIEA 2018: 5th International Conference on Industrial Engineering and Applications
CountrySingapore
CitySingapore
Period26/04/1828/04/18

Keywords

  • composite indicator
  • environmental concerns
  • multi-criteria decision making

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