چکیده:
The performance of the units is defined as the ratio of the weighted sum of outputs to the weighted sum of inputs. These weights can be determined by data envelopment analysis (DEA) models. The inputs and outputs of the related Decision Making Unit (DMU) are assessed by a set of the weights obtained via DEA for each DMU. In addition, the weights are not generally common, but rather, they are very close to zero or they are even equal to zero. This means that some major criteria will not be considered. Another problem is the similarity of the efficiency scores of efficient DMUs. However, this is not the case in reality, and the performance of the DMUs should be completely ranked. Using common weights can solve these problems completely during measuring the performance of DMUs. There are some articles in the literature to determine common weight sets (CSWs), but none of them takes into account the bootstrap approach. This paper introduces a novel, empirical and robust algorithm based on bootstrap technique to find CSWs.
خلاصه ماشینی:
A New Robust Bootstrap Algorithm for the Assessment of Common Set of Weights in Performance Analysis İhsan ALP, Volkan Soner ÖZSOY Department of Statistics, Faculty of Sciences, Gazi University, Ankara, Turkey (Received: March 12, 2018; Revised: January 5, 2019; Accepted: January 13, 2019) Abstract the weighted sum of inputs.
The inputs and outputs of the related Decision Making Unit (DMU) are assessed by a set of the weights obtained via DEA for each DMU.
This paper introduces a novel, empirical and robust algorithm based on bootstrap technique to find CSWs. The performance of the units is defined as the ratio of the weighted sum of outputs to Keywords .
Data envelopment analysis, Common set of weights, Performance evaluations, Bootstrapping Corresponding Author, Email: volkansoner@gazi.
com Introduction Data Envelopment Analysis (DEA) is one of the most popular methods to assess the performance of Decision Making Units (DMUs).
(1991), Ganley and Cubbin (1992), Doyle and Green (1994), Sinuany-Stern et al.
(2007), Podinovski (2007), Liu and Peng (2008) and Bal and Örkcü (2011).
9007, shows that the ranks of some previously studied models in the literature are correlated, with p Second example (View the image of this page)e: manufacturing systems In this example, a data set that has been studied in Shang and (View the image of this page) Sueyoshi (1995), Li and Reeves (1999) and Lam and Bai (2011) is used.