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 language | English |
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Title of host publication | Proceedings 2018 5th International Conference on Industrial Engineering and Applications (ICIEA 2018) |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 391-395 |
ISBN (Electronic) | 978-1-5386-5748-5 |
ISBN (Print) | 978-1-5386-5747-8 |
DOIs | |
Publication status | Published - 2018 |
Event | ICIEA 2018: 5th International Conference on Industrial Engineering and Applications - Singapore, Singapore Duration: 26 Apr 2018 → 28 Apr 2018 |
Conference
Conference | ICIEA 2018: 5th International Conference on Industrial Engineering and Applications |
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Country/Territory | Singapore |
City | Singapore |
Period | 26/04/18 → 28/04/18 |
Bibliographical note
Accepted Author ManuscriptKeywords
- composite indicator
- environmental concerns
- multi-criteria decision making