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Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records
Abstract:
In conventional data envelopment analysis (DEA) methods, all inputs and outputs are assumed to be continuous. However, in many practical situations, firms may generate both desirable and undesirable outputs, and some of whichmay only take integer values (e.g., the number of traffic accidents and deaths in a transportation system). The efficiency evaluation results can be inaccurate if these conditions are not incorporated in the model. In this paperwe propose an integer DEA modelwith undesirable inputs and outputs. The proposed model is developed based on the additive DEA model, in which input and output slacks are used to compute efficiency scores. We also develop an integer super-efficiency model to discriminate the performance of efficient firms. As an illustration, we apply the proposed models to the longitudinal data from a city bus company in Taiwan
Keywords: Data envelopment analysis Efficiency Integer-valued data Slacks Super-efficiency Undesirable factors
Author(s): .
Source: Decision Support Systems 54 (2012) 330–335
Subject: مدیریت کیفیت و بهره وری
Category: مقاله مجله
Release Date: 2012
No of Pages: 6
Price(Tomans): 0
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