A common weighted performance evaluation process by using data envelopment analysis models

The finance literature searches for a link between production and performance, controlling for variables, such as sales, firm size, employee number, etc., that influence production packages. The performance indices are designed according to the resulting effects and determine whether the performance...

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Bibliographic Details
Published in2007 IEEE International Conference on Industrial Engineering and Engineering Management pp. 827 - 831
Main Authors Ching-Hsiang Lai, Meng-Ying Wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
common weights
Cost function
Data envelopment analysis
data envelopment analysis (DEA)
Decision making
efficiency
Health information management
Hospitals
Information management
key performance index (KPI)
Loss measurement
Mathematical model
Principal component analysis
Production
ranking
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Summary:The finance literature searches for a link between production and performance, controlling for variables, such as sales, firm size, employee number, etc., that influence production packages. The performance indices are designed according to the resulting effects and determine whether the performance model is appropriate or not, and/or whether the performance of system is good or not. In this paper, a process, based on data envelopment analysis (DEA), is developed to evaluate and rank the relative importance of key performance indices (KPIs). The relative importance of each KPI is evaluated by performance loss measure, and each KPI is weighted according to the measure. Then, the relative performance of each unit is the ratio of weighted output to weighted input based on the common weights.
ISBN:1424415284
9781424415281
ISSN:2157-3611
2157-362X
DOI:10.1109/IEEM.2007.4419306