A network DEA approach for series multi-stage processes

Despotis, Dimitris K.; Sotiros, Dimitris; Koronakos, Gregory

doi:10.1016/j.omega.2015.07.005

Cited by 96 publications

(59 citation statements)

References 21 publications

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“…To overcome the shortcomings of DEA, Network DEA can be organized into multiple interrelated departments to identify the root cause of organizational performance inefficiency [8]. Network DEA offers many advantages, but it has a relatively short development history, and thus is unable to track usage restrictions as clearly as conventional DEA.…”

Section: Network Deamentioning

confidence: 99%

Performance Assessment of Residential Buildings Management Utilizing Network Data Envelopment Analysis

Chen¹,

Tan²,

Fauzia³

et al. 2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Section: Network Deamentioning

confidence: 99%

Performance Assessment of Residential Buildings Management Utilizing Network Data Envelopment Analysis

Chen¹,

Tan²,

Fauzia³

et al. 2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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“…To solve this model, these researchers used the linearization method by setting the denominator equal one. Despotis et al (2016) examined four types of two-stage models with different conditions without feedback.…”

Section: Introductionmentioning

confidence: 99%

A two-stage method for assessing the efficiency of the three-stage series network data envelopment analysis model with two feedback

Ghomi¹,

Rahmani²,

Bafruei³

2019

10.5267/j.dsl

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Data envelopment analysis models play an important role in decision making. In this paper, onestage and two-stage nonlinear programming problems are investigated in order to evaluate the efficiency of two types of network data envelopment analysis model. The first type of network data envelopment analysis model has a series structure with three stages and a feedback between the last step and the middle step, the second model has a three-stage series structure with two feedback between the final step and the first step and the middle step. By examining the overall efficiency of the models based on the one-stage programming problem, a two-stage programming problem is also applied in order to evaluate the efficiency of each step. In order to solve onestage nonlinear programming problems and two-stage linear and nonlinear programming problems derived from modeling, a linearization method based on coordinate transformation, and constant assumption and gradual growth of some variables is presented. In the last section, the proposed methods have been discussed using some numerical examples.

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“…Inevitably, these models are in urgent need of improvement to do reliable and precise assessment. Taking production systems' internal DOI: 10.24818/18423264/52.2.18.14 structures into consideration, network DEA models have been introduced; see Färe and Grosskopf (2000). Unlike previous models, network DEA models reflect the internal structure of units in performance evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Kazemi Matin and Azizi (2014) presented a general novel approach for measuring the efficiency score of network production processes with arbitrary internal structures. Despotis et al (2016) also offered a general network DEA method to estimate the efficiency of series multi-stage processes. Having offered a new approach based on multi-objective programming, they attempted to estimate the stage efficiency score in a very unique and unbiased way.…”

Section: Introductionmentioning

confidence: 99%

Technical Measure of Capacity Utilization in Two-Stage Production Systems: A Data Envelopment Analysis Approach

ZEINALZADEH¹,

Kazemi²

2018

ECECSR

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The primary aim of the present study is to consider the performance of two-stage production processes for estimating capacity utilization (CU). In short-run, capacity utilization relies on the capabilities of decision making units in employing fixed production factors. The production factors are being divided into fixed and variable inputs to not only measure but extend this indicator. Then, a modified network DEA model is used to measure the capacity utilization and investigate the intermediate products effects on CU. Finally, a numerical example is provided to indicate the applicability and effectiveness of the present model.

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A network DEA approach for series multi-stage processes

Cited by 96 publications

References 21 publications

Performance Assessment of Residential Buildings Management Utilizing Network Data Envelopment Analysis

Performance Assessment of Residential Buildings Management Utilizing Network Data Envelopment Analysis

A two-stage method for assessing the efficiency of the three-stage series network data envelopment analysis model with two feedback

Technical Measure of Capacity Utilization in Two-Stage Production Systems: A Data Envelopment Analysis Approach

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