A hybrid model for investigating and selecting a sustainable supply chain for agri-produce in India

Green revolution has tremendously changed the agri produce scenario in India. Since, the prelude of green revolution (In 1960s); heretofore, the country has never faced a situation of scarcity of agri-produce (wheat grains, rice, sugar, etc.). However, the population of the country has increased rapidly and currently crossing 1.25 billion. In the present study, the factors (enablers) which work as an influencer in maintaining of efficient supply chain for agri-produce have been identified and modeled using interpretive structural modeling (ISM) and decision making trial and evaluation laboratory (DEMATEL) methods to reveal the relationships between them. Furthermore, the enablers selected from the above modeling have been used for selecting the best supply chain of an agri-produce using analytic network process (ANP) method. The result revealed two prominent enablers for efficiently maintaining the agri supply chain to increase its overall surplus are: Awareness programs for crop rotation and high yield and Forecasted demand for agri-produce in the marketplace Conclusively, the proposed hybrid model would assist the policy makers in minimizing the turbulences and improving the responsiveness of an agri-food supply chain for the benefit of its stakeholders.