Addition Of Smaller Unit’s Efficiency In Network Data Envelopment Analysis

In this work, we present data envelopment analysis modeling approach for network data envelopment analysis where addition of efficiency is assumed for sub units or stages. The approach is applied under both constant return to scale and variable return to scale assumptions. We looked at the general multi stage processes classified as serial, parallel and non-immediate flow processes. The overall efficiency is expressed as a weighted sum of the efficiencies of the individual stages. We observe the more general problem of an open multistage process where some output from a given stage may leave the system while others become inputs to the next stage. We finally apply our approach to the numerical example.

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Publication Details

Journal
Global Journal of Pure and Applied Science
Published
2025-04-23
DOI
https://doi.org/10.4314/gjpas.v31i3.3
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Addition Of Smaller Unit’s Efficiency In Network Data Envelopment Analysis

Jacob Ashiwere Abuchu, J O Ushie, J O Achuobi, L B Akaegbu
Global Journal of Pure and Applied Science
Cloud Computing and Resource Management
article

Addition Of Smaller Unit’s Efficiency In Network Data Envelopment Analysis

Jacob Ashiwere Abuchu, J O Ushie, J O Achuobi, L B Akaegbu
article en

Abstract

In this work, we present data envelopment analysis modeling approach for network data envelopment analysis where addition of efficiency is assumed for sub units or stages. The approach is applied under both constant return to scale and variable return to scale assumptions. We looked at the general multi stage processes classified as serial, parallel and non-immediate flow processes. The overall efficiency is expressed as a weighted sum of the efficiencies of the individual stages. We observe the more general problem of an open multistage process where some output from a given stage may leave the system while others become inputs to the next stage. We finally apply our approach to the numerical example.

Global Journal of Pure and Applied ScienceVol. 31(3)
Openalex Percentile: Top 87%
Cloud Computing and Resource Management
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