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 Journal of Statistics and Management Systems cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Green supplier selection for manufacturing organization using a hybrid MCDM approach

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pp. 603–612Vol. 26Issue 3April 2023DOI: 10.47974/JSMS-1050XML
Published Online:
31 Mar 2023
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1050
Pages:
603–612

Abstract

In today’s competitive era business demands cost-effectiveness, logistic efficiency, quality products, after sale services, and environmentally responsible production activities. Sustainable development is need of the hour. Government as well as private agencies and business organisations are emphasising on its implementation in all business activities. Green production, green logistics and green waste management are the three major green business activities. A supplier, who has sensitivity towards the environment along with economic factors is the real asset of a green business chain and is termed as green supplier. In this study. we are concerned with “green supplier selection” by ranking the available green suppliers. The ranking of green supplier selection is considered to be a multi-criteria optimisation problem, which is more popularly known as a multi-criteria decision-making (MCDM) problem. We have applied five different MCDM techniques to rank the green suppliers for the manufacturing organisation in the Delhi-NCR region and proposed an integrated approach of MCDM for assessment and selection of the green supplier. The study is novel in nature as it suggests the ranking of green suppliers by identifying the preferential suppliers to carry forward a green business chain.

Keywords

Subject Classifications

D2

References

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