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The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model

Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel...

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Main Authors: Ashrafi, Ali, Jaafar, Azmi, Abu Bakar, Mohd Rizam, Lee, Lai Soon
Format: Article
Language:English
Published: Science Publications 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22448/1/jcssp.2011.749.756.pdf
http://psasir.upm.edu.my/id/eprint/22448/
http://thescipub.com/html/10.3844/jcssp.2011.749.756
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spelling my.upm.eprints.224482016-06-08T08:31:13Z http://psasir.upm.edu.my/id/eprint/22448/ The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model Ashrafi, Ali Jaafar, Azmi Abu Bakar, Mohd Rizam Lee, Lai Soon Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel units work individually; the sum of their own inputs/outputs is the input/output of the system. For this type of system, conventional DEA models treat each DMU as a black box and ignore the performance of its units. Approach: This study introduces a DEA model in Slacks-Based Measure (SBM) formulation which considers the parallel relationship of the units within the system in measuring the efficiency of the system. Under this framework, the overall efficiency of the system is expressed as a weighted sum of the efficiencies of its units. Results: As an SBM model, the proposed model is non-radial and is suitable for measuring the efficiency when inputs and outputs may change non-proportionally. A theoretical result shows that if any unit of a parallel system is inefficient then the system is inefficient. Conclusion: This study introduces a non-radial DEA model, takes into account the operation of individual components within the parallel production system, to measure the overall efficiency as well as the efficiencies of sub-processes. This helps the decision makers recognize inefficient units and make later improvements. Science Publications 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22448/1/jcssp.2011.749.756.pdf Ashrafi, Ali and Jaafar, Azmi and Abu Bakar, Mohd Rizam and Lee, Lai Soon (2011) The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model. Journal of Computer Science, 7 (5). pp. 749-756. ISSN 1549-3636; ESSN: 1552-6607 http://thescipub.com/html/10.3844/jcssp.2011.749.756 10.3844/jcssp.2011.749.756
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel units work individually; the sum of their own inputs/outputs is the input/output of the system. For this type of system, conventional DEA models treat each DMU as a black box and ignore the performance of its units. Approach: This study introduces a DEA model in Slacks-Based Measure (SBM) formulation which considers the parallel relationship of the units within the system in measuring the efficiency of the system. Under this framework, the overall efficiency of the system is expressed as a weighted sum of the efficiencies of its units. Results: As an SBM model, the proposed model is non-radial and is suitable for measuring the efficiency when inputs and outputs may change non-proportionally. A theoretical result shows that if any unit of a parallel system is inefficient then the system is inefficient. Conclusion: This study introduces a non-radial DEA model, takes into account the operation of individual components within the parallel production system, to measure the overall efficiency as well as the efficiencies of sub-processes. This helps the decision makers recognize inefficient units and make later improvements.
format Article
author Ashrafi, Ali
Jaafar, Azmi
Abu Bakar, Mohd Rizam
Lee, Lai Soon
spellingShingle Ashrafi, Ali
Jaafar, Azmi
Abu Bakar, Mohd Rizam
Lee, Lai Soon
The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
author_facet Ashrafi, Ali
Jaafar, Azmi
Abu Bakar, Mohd Rizam
Lee, Lai Soon
author_sort Ashrafi, Ali
title The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
title_short The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
title_full The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
title_fullStr The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
title_full_unstemmed The efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
title_sort efficiency measurement of parallel production systems: a non-radial data envelopment analysis model
publisher Science Publications
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/22448/1/jcssp.2011.749.756.pdf
http://psasir.upm.edu.my/id/eprint/22448/
http://thescipub.com/html/10.3844/jcssp.2011.749.756
_version_ 1643827830986899456
score 13.211869

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