Unoriented two-stage DEA: The case of the oscillating intermediate products

Lewis, Herbert F.; Mallikarjun, Sreekanth; Sexton, Thomas R.

doi:10.1016/j.ejor.2013.02.058

Cited by 43 publications

(26 citation statements)

References 18 publications

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“…This can be accomplished by using the unoriented DEA model. The unoriented DEA model can be used to measure efficiency in situations in which analysts seek to simultaneously reduce inputs and increase outputs (Lewis et al, 2013). In addition, airline operating managers need to understand the sources of inefficiency within their systems.…”

Section: Dea Methodologymentioning

confidence: 99%

“…The third constraint guarantees VRS. The fourth constraint is a first-order linear approximation of the constraint ε 1k *q 1k ¼ 1 ( Lewis et al, 2013). Constraints 3 and 4 appear in all the following models.…”

Section: Model Formulationmentioning

confidence: 99%

“…To measure the overall airline operating efficiency, we apply the unoriented DEA principle (Lewis et al, 2013) to the three-stage airline network model. To achieve optimal operational efficiency, we tend to reduce the input and increase the output simultaneously.…”

Section: Model Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Efficiency of US airlines: A strategic operating model

Mallikarjun

2015

Journal of Air Transport Management

Self Cite

116

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Section: Dea Methodologymentioning

confidence: 99%

Section: Model Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Efficiency of US airlines: A strategic operating model

Mallikarjun

2015

Journal of Air Transport Management

Self Cite

116

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“…The authors solve this dilemma by representing deposits as intermediate flows in a two-stage unoriented DEA model. A similar model is also introduced by Lewis et al (2013), who show how to solve it through an iterative algorithm that alternates between an input-oriented push backward step and an output-oriented push forward step. The same authors are currently working on a general network DEA unoriented model (Mallikarjun et al, 2014) Yu and Chen (2011) use also a similar measure of efficiency to assess the air routes performance of an airline in Taiwan.…”

Section: Unoriented Modelsmentioning

confidence: 89%

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Castelli

Pesenti

2014

International Series in Operations Research &Amp; Management Science

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In the last two decades, complex and detailed DEA models that consider the internal structure of DMUs have been proposed by several authors. This chapter describes the mathematical formulations, along with their main variants, extensions and applications, of three large and popular model families: network (with special emphasis on multi-stage), shared flow (also known as multi-component or multi-activity), and multi-level models. Each family is a different generalization of the same elementary internal structure. This review extends and updates the classification presented in Castelli et al. (Ann Oper Res 173(1):207–235, 2010)

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“…In addition, the complicated process of the entire production can be divided into several sub-processes or sub-stages in which some intermediate products are considered outputs of one sub-stage and are then treated as an input of another sub-stage [26]. For example, as discussed in the studies of Lewis et al, DMUs can be divided into a "two-stage structure" in which the outputs of the first sub-stage are used as inputs in the second sub-stage [27][28][29][30]. These intermediate outputs/inputs are further defined as intermediate measures [31].…”

Section: Two-stage Data Envelopment Analysis (Dea) Modelmentioning

confidence: 99%

Two-Stage DEA Analysis of Water Resource Use Efficiency

Ren

Guo

2016

Sustainability

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This paper presents an extended two-stage data envelopment analysis (DEA) method for analyzing water resource use efficiency (WRUE) and related WRUE issues, which was developed by introducing regional water resource metabolic theory into the two-stage DEA method. It has the following advantages: (1) it has the ability to reflect the inner difference and connection of the regional water resource consumption process, which developed the corresponding physical model instead of making it a "black box"; (2) the built physical model for WRUE divided the main body of water resource consumption into social and economic subsystems, which can thus elaborate WRUE; (3) it can analyze not only WRUE but also related WRUE issues. The proposed method was applied to a real-case study in Gansu Province, China. Results show that decision makers can determine the comprehensive and accurate WRUE and negative factors of WRUE in Gansu Province. Moreover, the results offer recommendations for decision makers to plan for efficient use of water resources in different cities.

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Unoriented two-stage DEA: The case of the oscillating intermediate products

Cited by 43 publications

References 18 publications

Efficiency of US airlines: A strategic operating model

Efficiency of US airlines: A strategic operating model

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Two-Stage DEA Analysis of Water Resource Use Efficiency

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