Application of data envelopment analysis models in supply chain management

a systematic review and meta-analysis

Somayeh Soheilirad, Kannan Govindan*, Abbas Mardani, Edmundas Kazimieras Zavadskas, Mehrbakhsh Nilashi, Norhayati Zakuan

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftReviewForskningpeer review

Resumé

Supply chain management aims to designing, managing and coordinating material/product, information and financial flows to fulfill the customer requirements at low costs and thereby increasing supply chain profitability. In the last decades, data envelopment analysis has become the main topic of interest as a mathematical tool to evaluate supply chain management. While, various data envelopment analysis models have been suggested to measure and evaluate the supply chain management, there is a lack of research regarding to systematic literature review and classification of study in this field. Regarding this, some major databases including Web of Science and Scopus have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. Accordingly, a review of 75 published articles appearing in 35 scholarly international journals and conferences between 1996 and 2016 have been attained to reach a comprehensive review of data envelopment analysis models in evaluation supply chain management. Consequently, the selected published articles have been categorized by author name, the year of publication, technique, application area, country, scope, data envelopment analysis purpose, study purpose, research gap and contribution, results and outcome, and journals and conferences in which they appeared. The results of this study indicated that areas of supplier selection, supply chain efficiency and sustainable supply chain have had the highest frequently than other areas. In addition, results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire. The facility of multiple inputs and multiple outputs of the data envelopment analysis model was definitely an attractive one to most researchers and, therefore, the data envelopment analysis procedure had found many applications beyond supply chain management into organization and industry.

OriginalsprogEngelsk
TidsskriftAnnals of Operations Research
Vol/bind271
Udgave nummer2
Sider (fra-til)915-969
ISSN0254-5330
DOI
StatusUdgivet - dec. 2018

Fingeraftryk

Meta-analysis
Systematic review
Supply chain management
Data envelopment analysis
Supply chain
Evaluation
Production function
Product information
World Wide Web
Costs
Financial flows
Information flow
Literature review
Supplier selection
Data base
Industry
Profitability
Customer requirements

Citer dette

Soheilirad, Somayeh ; Govindan, Kannan ; Mardani, Abbas ; Zavadskas, Edmundas Kazimieras ; Nilashi, Mehrbakhsh ; Zakuan, Norhayati. / Application of data envelopment analysis models in supply chain management : a systematic review and meta-analysis. I: Annals of Operations Research. 2018 ; Bind 271, Nr. 2. s. 915-969.
@article{2bc88605b5b3441b971a8197f388ee0d,
title = "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis",
abstract = "Supply chain management aims to designing, managing and coordinating material/product, information and financial flows to fulfill the customer requirements at low costs and thereby increasing supply chain profitability. In the last decades, data envelopment analysis has become the main topic of interest as a mathematical tool to evaluate supply chain management. While, various data envelopment analysis models have been suggested to measure and evaluate the supply chain management, there is a lack of research regarding to systematic literature review and classification of study in this field. Regarding this, some major databases including Web of Science and Scopus have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. Accordingly, a review of 75 published articles appearing in 35 scholarly international journals and conferences between 1996 and 2016 have been attained to reach a comprehensive review of data envelopment analysis models in evaluation supply chain management. Consequently, the selected published articles have been categorized by author name, the year of publication, technique, application area, country, scope, data envelopment analysis purpose, study purpose, research gap and contribution, results and outcome, and journals and conferences in which they appeared. The results of this study indicated that areas of supplier selection, supply chain efficiency and sustainable supply chain have had the highest frequently than other areas. In addition, results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire. The facility of multiple inputs and multiple outputs of the data envelopment analysis model was definitely an attractive one to most researchers and, therefore, the data envelopment analysis procedure had found many applications beyond supply chain management into organization and industry.",
keywords = "Data envelopment analysis (DEA), Green supply chain, PRISMA, Supplier selection, Supply chain performance, Sustainable supply chain",
author = "Somayeh Soheilirad and Kannan Govindan and Abbas Mardani and Zavadskas, {Edmundas Kazimieras} and Mehrbakhsh Nilashi and Norhayati Zakuan",
year = "2018",
month = "12",
doi = "10.1007/s10479-017-2605-1",
language = "English",
volume = "271",
pages = "915--969",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer",
number = "2",

}

Application of data envelopment analysis models in supply chain management : a systematic review and meta-analysis. / Soheilirad, Somayeh; Govindan, Kannan; Mardani, Abbas; Zavadskas, Edmundas Kazimieras; Nilashi, Mehrbakhsh; Zakuan, Norhayati.

I: Annals of Operations Research, Bind 271, Nr. 2, 12.2018, s. 915-969.

Publikation: Bidrag til tidsskriftReviewForskningpeer review

TY - JOUR

T1 - Application of data envelopment analysis models in supply chain management

T2 - a systematic review and meta-analysis

AU - Soheilirad, Somayeh

AU - Govindan, Kannan

AU - Mardani, Abbas

AU - Zavadskas, Edmundas Kazimieras

AU - Nilashi, Mehrbakhsh

AU - Zakuan, Norhayati

PY - 2018/12

Y1 - 2018/12

N2 - Supply chain management aims to designing, managing and coordinating material/product, information and financial flows to fulfill the customer requirements at low costs and thereby increasing supply chain profitability. In the last decades, data envelopment analysis has become the main topic of interest as a mathematical tool to evaluate supply chain management. While, various data envelopment analysis models have been suggested to measure and evaluate the supply chain management, there is a lack of research regarding to systematic literature review and classification of study in this field. Regarding this, some major databases including Web of Science and Scopus have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. Accordingly, a review of 75 published articles appearing in 35 scholarly international journals and conferences between 1996 and 2016 have been attained to reach a comprehensive review of data envelopment analysis models in evaluation supply chain management. Consequently, the selected published articles have been categorized by author name, the year of publication, technique, application area, country, scope, data envelopment analysis purpose, study purpose, research gap and contribution, results and outcome, and journals and conferences in which they appeared. The results of this study indicated that areas of supplier selection, supply chain efficiency and sustainable supply chain have had the highest frequently than other areas. In addition, results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire. The facility of multiple inputs and multiple outputs of the data envelopment analysis model was definitely an attractive one to most researchers and, therefore, the data envelopment analysis procedure had found many applications beyond supply chain management into organization and industry.

AB - Supply chain management aims to designing, managing and coordinating material/product, information and financial flows to fulfill the customer requirements at low costs and thereby increasing supply chain profitability. In the last decades, data envelopment analysis has become the main topic of interest as a mathematical tool to evaluate supply chain management. While, various data envelopment analysis models have been suggested to measure and evaluate the supply chain management, there is a lack of research regarding to systematic literature review and classification of study in this field. Regarding this, some major databases including Web of Science and Scopus have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. Accordingly, a review of 75 published articles appearing in 35 scholarly international journals and conferences between 1996 and 2016 have been attained to reach a comprehensive review of data envelopment analysis models in evaluation supply chain management. Consequently, the selected published articles have been categorized by author name, the year of publication, technique, application area, country, scope, data envelopment analysis purpose, study purpose, research gap and contribution, results and outcome, and journals and conferences in which they appeared. The results of this study indicated that areas of supplier selection, supply chain efficiency and sustainable supply chain have had the highest frequently than other areas. In addition, results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire. The facility of multiple inputs and multiple outputs of the data envelopment analysis model was definitely an attractive one to most researchers and, therefore, the data envelopment analysis procedure had found many applications beyond supply chain management into organization and industry.

KW - Data envelopment analysis (DEA)

KW - Green supply chain

KW - PRISMA

KW - Supplier selection

KW - Supply chain performance

KW - Sustainable supply chain

U2 - 10.1007/s10479-017-2605-1

DO - 10.1007/s10479-017-2605-1

M3 - Review

VL - 271

SP - 915

EP - 969

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

IS - 2

ER -