Estimation of Congestion in Free Disposal Hull Models Using Data Envelopment Analysis

Abbasi, Mehdi; Jahanshahloo, G. R.; Rostamy-Malkhlifeh, M.; Lotfı, Farhad Hosseinzadeh

doi:10.1155/2014/427673

Cited by 8 publications

(7 citation statements)

References 21 publications

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“…Abbasi et al [13] solved this example by their models. Here we apply our method to this example and compare the results in Table 5.…”

Section: Examplementioning

confidence: 98%

“…2_a. If Then consider the following model: Abbasi et al [13] expressed that has congestion if and only if is −1 output efficient and it is not output efficient. Therefore, the following steps must be traversed.…”

Section:    mentioning

confidence: 99%

“…In Abbasi et al [13] method must solve two mixed-integer programming models ((8), (9)) to measure the congestion. As you see in here there is no need to solve a model in our method and as shown in Table 5, the results of two methods are equal.…”

Section: Examplementioning

confidence: 99%

“…Mollaeian et al [12] focused on congestion in the supply chain. Abbasi et al [13] measuring the congestion in Free Disposal Hull. congestion has utilization in different cases, such as the economy, industry, energy and so on.…”

Section: Introductionmentioning

confidence: 99%

“…, then doesn't have weak congestion.Abbasi et al[13] represented −1 output additive model to estimate the congestion in FDH model. At first, consider the following model:…”

mentioning

confidence: 99%

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Measuring congestion in data envelopment analysis without solving any models

2019

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One of the important topics in Data Envelopment Analysis is congestion. Many scholars research in this field and represent their methods. In most of the represented methods, we have to solve lots of models or its used for a special aim like negative data, integer data, different Production Possibility Set and etc. Here we represent our method that measures the congestion without solving a model. It can be used for different Production Possibility Set (different technology) like and ; different data like negative data and integer data. Also, we can distinguish strongly or weakly congestion of Decision Making Unit. Furthermore, each DMU has congestion, efficient and inefficient, we can measure it by this method. Finally, we represent some numerical example of our purpose method and compare our method with other methods then show the results in tables.

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“…Abbasi et al [13] solved this example by their models. Here we apply our method to this example and compare the results in Table 5.…”

Section: Examplementioning

confidence: 98%

Section:    mentioning

confidence: 99%

Section: Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…, then doesn't have weak congestion.Abbasi et al[13] represented −1 output additive model to estimate the congestion in FDH model. At first, consider the following model:…”

mentioning

confidence: 99%

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