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Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

Sudipta Ghosh (Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India)
Madhab Chandra Mandal (Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India)
Amitava Ray (Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 17 December 2021

Issue publication date: 29 November 2022




Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.


The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.


The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

Research limitations/implications

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

Practical implications

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.


The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.



The authors thank the Department of Higher Education, Science and Technology and Biotechnology (DST), Govt. of West Bengal, India for providing the financial support to carry out this research. The authors are grateful to the anonymous industry experts, managers, and staff who contributed by providing the necessary data and information for this research. The authors are also grateful to the anonymous reviewers who helped in improving the quality of this paper by providing their precious suggestions and constructive comments.

CRediT authorship: Sudipta Ghosh: Conceptualization, Methodology, Visualization, Investigation, Data Curation, Software, Writing-Original draft preparation. Madhab Chandra Mandal: Investigation, Data Curation. Amitava Ray: Supervision, Writing-Reviewing and Editing.

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.


Ghosh, S., Mandal, M.C. and Ray, A. (2022), "Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India", Benchmarking: An International Journal, Vol. 29 No. 10, pp. 3097-3132.



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