Exploring Company Performance Measurement for Truck Manufacturers

Autor:	Qinqin Zeng, Wouter Beelaerts van Blokland
Rok vydání:	2020
Předmět:	Truck Measure (data warehouse) Operations research Ranking Computer science Analytic network process Performance measurement TOPSIS Dimension (data warehouse) Fuzzy logic
Zdroj:	Journal for the Advancement of Performance Information and Value. 10:102-124
ISSN:	2169-0464 1941-191X
DOI:	10.37265/japiv.v10i1.25
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c437e6c89e3411b807f0439dee8bd056 https://doi.org/10.37265/japiv.v10i1.25 Zobrazit plný text záznamu