Evaluating Agile Practices in Green Supply Chain Management Using a Fuzzy Multicriteria Approach

Mahsa Jamshidi Dolatabad, Mahsa Azhdarifard, Ngakan Ketut Acwin Dwijendra, Ahmed Qassem Ali Sharhan Al-Sudani and Reza Lotfi

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-12

Abstract: Ensuring the successful implementation of sustainable development goals in each country today depends heavily on the preservation and optimal use of its limited irreplaceable resources; therefore, a wide range of measures have been thus far taken by governments to deal with this issue. The study’s main aim is to evaluate agile practices in green supply chain management utilizing a fuzzy multicriteria approach. To meet that aim, a quantitative research design was carried out by collecting data from fieldwork in the form of completing a questionnaire. Based on the results, the global spread of environmental standards along with the growing consumer demand for integrating green product supply into supply chain management (SCM), encompassing all practices associated with the flow of goods from the extraction and use of raw materials to delivery to end consumers as well as the flow of information throughout this chain, has accordingly given rise to the novel concept of green supply chain management (GSCM). Finally, GSCM criteria were identified and then prioritized, exploiting a fuzzy multicriteria approach in the present study.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://downloads.hindawi.com/journals/ddns/2022/4290848.pdf (application/pdf)
http://downloads.hindawi.com/journals/ddns/2022/4290848.xml (application/xml)

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:hin:jnddns:4290848

DOI: 10.1155/2022/4290848

Access Statistics for this article

More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().