2013
DOI: 10.1016/j.cie.2012.11.014
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Recognizing strong and weak congestion slack based in data envelopment analysis

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Cited by 31 publications
(6 citation statements)
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“…This section reviews a method presented by Khoveyni et al (2013), to estimate the congestion status of DMUs. Khoveyni et al (2013)…”
Section: Methods Of Khoveyni Et Al (2013)mentioning
confidence: 99%
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“…This section reviews a method presented by Khoveyni et al (2013), to estimate the congestion status of DMUs. Khoveyni et al (2013)…”
Section: Methods Of Khoveyni Et Al (2013)mentioning
confidence: 99%
“…There are several methods in the literature on DEA for measuring the congestion of units. In this section, the method of Tone & Sahoo (2004) and the method of Khoveyni et al (2013) are analyzed.…”
Section: Dmumentioning
confidence: 99%
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“…Another congestion-related research was carried out by Chyan and Lu (2006) to develop a non-parametric framework for assessing the performance of Taiwan's international tourist hotels in the presence of congestion. Khoveyni et al (2013) proposed a two-stage slack-based procedure to determine weak and strong congestions in the presence of non-negative data. Shabanpour et al (2019) evaluated suppliers using DEA with an economies-of-scale approach.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Furthermore, in this approach all inputs and outputs of DMUs have been assumed positive, while, in real applications, data is often nonnegative. Khoveyni et al [30] removed this drawback of Tone's approach.…”
Section: Definition 4 (Technical Inefficiency)mentioning
confidence: 99%