Using an SBM-NDEA model to assess the desirable and undesirable outputs of sustainable supply chain: A case study in wheat industry

Farhad Hosseinzadeh Lotfi, Reza Farzipoor Saen, Zohreh Moghaddas and Mohsen Vaez-Ghasemi

Socio-Economic Planning Sciences, 2023, vol. 89, issue C

Abstract: In most production activities, desirable and undesirable outputs are produced together, and they are interdependent. As a result, reducing undesirable outputs can also decrease desirable ones. This study introduces concepts and models and applies them to a practical example for the first time, considering the dependency of production between desirable and undesirable outputs in an SBM network system. The aim is to assess the sustainability of supply chains. To achieve this goal, a new network data envelopment analysis (NDEA) model is developed based on the Slack Based Model (SBM). A case study is presented to evaluate the sustainability of wheat supply chains, which demonstrates various aspects of the proposed model, which considers both desirable and undesirable outputs produced together.

Keywords: Sustainable supply chain management (SSCM); Dependent desirable and undesirable outputs; Network data envelopment analysis (NDEA); Slacks-based measure (SBM) (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012123002112
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:89:y:2023:i:c:s0038012123002112

DOI: 10.1016/j.seps.2023.101699

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().