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PurposeThis research aims to comprehensively analyse the Agri-food supply chain, by identifying the barriers, and considering effective pathways towards a green supply chain. To the best of our knowledge, in the research area of supply chain, the majority of the research is oriented towards the evaluation of barriers and pathways or drivers to the implementation of green supply chain management in the manufacturing industry. The field of Agri-food is among the sectors of concern due to the quantum and basic necessity of the industry.Design/methodology/approachThe contribution of this paper is to develop and evaluate a general framework of the most relevant barriers and possible pathways towards the green Agri-food supply chain, with the help of a hybrid approach combining both the ANP and ELECTRE I methods, via a case study of the fish canning industry.FindingsFurthermore, the study findings will help both academicians and practitioners in developing and evaluating green supply chain frameworks in this area of study.Originality/valueThe results of this study show that the cost of greening the supply in terms of implementing sustainability standard, or advanced technology are the most relevant barriers, and that the social and operational pathways family is among the best effectives pathways.

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Nowadays, works on supply chain management continue to expand, which is associated with the speedy growth of technology on one hand, and the global issue of climate change on the other hand. All these factors have contributed to the emergence of a new field of research, namely the green supply chain management especially in the early 2000s. Through this paper, a brief literature review was conducted in order to summarize the published research work on green supply chain management, followed by a theoretical model that combines a set of tools and practices as support elements for the green supply chain management.

This paper proposes a modeling framework (analytical modeling) for the case of fish cannery supply chain (FCSC) to optimize the environmental impact of the set of its processes; indeed, for our knowledge, there were few studies attempting to address this case study as a model of green supply chain. Implementation of the proposed model is done using first MCDM methods (AHP, TOPSIS) in order to select and classify processes and the corresponding environmental impact, as well as dealing with environmental analysis. Furthermore; a flowchart is proposed as an addition to improve the other processes in terms of reducing environmental impact, and the numerical resolution is carried out using the LINDO software. The proposed framework will guide researcher both as well as practitioners in establishing an optimal model for the green fish cannery supply chain (FCSC).