Exploring Company Performance Measurement for Truck Manufacturers

This paper aims to develop a quantitative model of company performance from an inventory
perspective for truck manufacturers. With the inventory performance as a new dimension,
fourteen indicators are identified to form a conceptual framework for truck manufacturers to
measure their company performance. Accordingly, techniques of the fuzzy logic and the analytic
network process (ANP) are used to generate the quantitative model, considering the
interdependency between the indicators and the uncertainty arising from human qualitative
judgments. A case study is conducted in nine truck manufacturers, with time series data from the
fiscal year 2004 to 2015. The ranking result out of the Technique for Order of Preference by
Similarity to Ideal Solution (TOPSIS) is used as a validation, which proves the higher accuracy
of the model developed.
Keywords: Company performance, Multi-criteria decision making, Inventory performance,
Truck manufacturers.