Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry.: a case study in welding industry

Mohammad Izadikhah; Reza Farzipoor Saen

doi:10.1007/s10479-021-04160-7

Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. a case study in welding industry

Mohammad Izadikhah, Reza Farzipoor Saen^*

^*Corresponding author for this work

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The objective of this study is to present a new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains. Unlike the conventional DEA models, which consider each decision making unit as a black box, two-stage DEA models consider the intermediate products. The main contribution of the current paper is to develop a two-stage DEA model in centralized context in the presence of stochastic data. The efficacy of the developed approach is shown by a case study.

Original language	English
Article number	1
Pages (from-to)	195-215
Number of pages	21
Journal	Annals of Operations Research
Volume	322
Issue number	1
DOIs	https://doi.org/10.1007/s10479-021-04160-7
Publication status	Published - Jun 14 2021

Keywords

Data envelopment analysis (DEA)
Stochastic DEA model
Sustainable supply chain management (SSCM)
Two-stage DEA model

ASJC Scopus subject areas

General Decision Sciences
Management Science and Operations Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s10479-021-04160-7

https://dblp.org/db/journals/anor/anor322.html#IzadikhahS23

Cite this

Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. a case study in welding industry. / Izadikhah, Mohammad; Farzipoor Saen, Reza.
In: Annals of Operations Research, Vol. 322, No. 1, 1, 14.06.2021, p. 195-215.

Research output: Contribution to journal › Article › peer-review

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