Company performance measurement for automobile companies

A composite indicator from an environmental perspective

Conference Paper (2018)
Author(s)

Qinqin Zeng (TU Delft - Mechanical Engineering)

Wouter W.A. Beelaerts Van Blokland (TU Delft - Mechanical Engineering)

Sicco C. Santema (TU Delft - Industrial Design Engineering)

Gabriel Lodewijks (University of New South Wales)

Research Group
Transport Engineering and Logistics
DOI related publication
https://doi.org/10.1109/IEA.2018.8387131 Final published version
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Publication Year
2018
Language
English
Research Group
Transport Engineering and Logistics
Pages (from-to)
391-395
ISBN (print)
978-1-5386-5747-8
ISBN (electronic)
978-1-5386-5748-5
Event
ICIEA 2018: 5th International Conference on Industrial Engineering and Applications (2018-04-26 - 2018-04-28), Singapore, Singapore
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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.

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