Evaluating and Ranking of EFQM Projects by Using Robust DEA and a Case Study of Health and Care Services
Abstract
The European Foundation for Quality Management (EFQM) Excellence Model is a practical, non-prescriptive framework to improve organizations. There are several methods for evaluating the performance, which can be placed in two categories: Parametric and nonparametric. Including the non-parametric techniques is key in terms of certainty and uncertainty (Robust Data Envelopment Analysis (RDEA)) to evaluate the relative efficiency of Decision Making Units (DMU). Given the importance of performance measurement and organizational performance, it is necessary to have a model that, in addition to the qualitative approach, is also a quantitative approach. So, by combining a qualitative model, EFQM, and a quantitative model, DEA, offers a model for evaluating and ranking EFQM projects, while both methods have advantages as well as disadvantages, they minimize. Given that in most optimization problems, the uncertainty in the data is not considered, it is likely that reasonable answers that largely decrease the loss of confidence can be justified. Answer the question. RDEA such techniques are that in view of the uncertainty in the data with high probability justify answer the question. In this paper, we used the RDEA for ranking and evaluating the performance of EFQM Projects, then compared the results.
Keywords
European foundation for quality management Data envelopment analysis Robust optimization Robust data envelopment analysisReferences (20)
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- Published 2025-02-27
- Issue Vol. 2 No. 1 (2025): Annals of Healthcare Systems Engineering
- Section Articles
- Document Type Research Article
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