Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

Tahmoures Samavati; Taliva Badiezadeh; Reza Farzipoor Saen

doi:10.1111/deci.12454

Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

Tahmoures Samavati, Taliva Badiezadeh, Reza Farzipoor Saen^*

^*Corresponding author for this work

Operations Management & Business Statistics

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

16 Citations (Scopus)

Abstract

Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.

Original language	English
Pages (from-to)	804-829
Number of pages	26
Journal	Decision Sciences
Volume	51
Issue number	3
DOIs	https://doi.org/10.1111/deci.12454
Publication status	Published - Jun 1 2020

Keywords

Double Frontier
Dynamic Data Envelopment Analysis
Efficiency and Effectiveness
Network Data Envelopment Analysis (NDEA)
Sustainable Supply Chain Management
Undesirable Outputs

ASJC Scopus subject areas

General Business,Management and Accounting
Strategy and Management
Information Systems and Management
Management of Technology and Innovation

UN SDGs

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

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10.1111/deci.12454

Cite this

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title = "Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains",

abstract = "Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.",

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AU - Saen, Reza Farzipoor

PY - 2020/6/1

Y1 - 2020/6/1

N2 - Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.

AB - Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.

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KW - Network Data Envelopment Analysis (NDEA)

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KW - Undesirable Outputs

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Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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