A DEA model for two-stage parallel-series production processes

Alireza Amirteimoori; Feng Yang

RAIRO - Operations Research - Recherche Opérationnelle (2014)

  • Volume: 48, Issue: 1, page 123-134
  • ISSN: 0399-0559

Abstract

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Data envelopment analysis (DEA) has been widely used to measure the performance of the operational units that convert multiple inputs into multiple outputs. In many real world scenarios, there are systems that have a two-stage network process with shared inputs used in both stages of productions. In this paper, the problem of evaluating the efficiency of a set of specialized and interdependent components that make up a large DMU is considered. In these processes the first stage consists of two parallel components which are connected serially with the process in the second stage. The paper develops a DEA approach for measuring efficiency of decision processes which can be divided into two stages. This application of parallel-series production process involves shared resources and the paper determines an optimal split of shared resources among two components.

How to cite

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Amirteimoori, Alireza, and Yang, Feng. "A DEA model for two-stage parallel-series production processes." RAIRO - Operations Research - Recherche Opérationnelle 48.1 (2014): 123-134. <http://eudml.org/doc/275015>.

@article{Amirteimoori2014,
abstract = {Data envelopment analysis (DEA) has been widely used to measure the performance of the operational units that convert multiple inputs into multiple outputs. In many real world scenarios, there are systems that have a two-stage network process with shared inputs used in both stages of productions. In this paper, the problem of evaluating the efficiency of a set of specialized and interdependent components that make up a large DMU is considered. In these processes the first stage consists of two parallel components which are connected serially with the process in the second stage. The paper develops a DEA approach for measuring efficiency of decision processes which can be divided into two stages. This application of parallel-series production process involves shared resources and the paper determines an optimal split of shared resources among two components.},
author = {Amirteimoori, Alireza, Yang, Feng},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {data envelopment analysis; efficiency; production; two-stage},
language = {eng},
number = {1},
pages = {123-134},
publisher = {EDP-Sciences},
title = {A DEA model for two-stage parallel-series production processes},
url = {http://eudml.org/doc/275015},
volume = {48},
year = {2014},
}

TY - JOUR
AU - Amirteimoori, Alireza
AU - Yang, Feng
TI - A DEA model for two-stage parallel-series production processes
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 2014
PB - EDP-Sciences
VL - 48
IS - 1
SP - 123
EP - 134
AB - Data envelopment analysis (DEA) has been widely used to measure the performance of the operational units that convert multiple inputs into multiple outputs. In many real world scenarios, there are systems that have a two-stage network process with shared inputs used in both stages of productions. In this paper, the problem of evaluating the efficiency of a set of specialized and interdependent components that make up a large DMU is considered. In these processes the first stage consists of two parallel components which are connected serially with the process in the second stage. The paper develops a DEA approach for measuring efficiency of decision processes which can be divided into two stages. This application of parallel-series production process involves shared resources and the paper determines an optimal split of shared resources among two components.
LA - eng
KW - data envelopment analysis; efficiency; production; two-stage
UR - http://eudml.org/doc/275015
ER -

References

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