PurposeThis paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by distributing essentials food grains at a subsidized rate.Design/methodology/approachThe major enablers for the sustainable PDS supply chain were explored by conducting the literature survey and discussion with academic and warehouse experts. Then, the fuzzy-DEMATEL (decision-making trial and evaluation laboratory) technique was applied to develop a causal model that analyses the interaction among the identified enablers.FindingsThis study recognizes fifteen enablers through literature survey and experts' opinions. The present work concludes that “proper identification of the PDS beneficiaries” and “willingness and commitment of the top management and policymaker” are the two major enablers for the sustainable PDS supply chain.Research limitations/implicationsThis work would be helpful for profoundly understanding the major enablers, and how they are affecting the entire PDS supply chain. The study would be beneficial for the general people and the entire society straightforwardly by providing suggestions for food security.Originality/valueIdentifying and analyzing the major enablers for the sustainable PDS supply chain helps to visualize the problem more effectively and efficiently. Besides, the causal model explains a comprehensive perspective on the identified enablers.

SummaryFood security is a critical concern for emerging nations, where agriculture is a vital source of livelihood for a significant proportion of the population. However, ineffective food grain storage management (FGSM) poses a substantial threat to food security, resulting in significant post‐harvest loss (PHL). This research aims to identify and analyse the challenges to sustainable FGSM in emerging nations, with a specific focus on India using Total Interpretive Structural Modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis. The study identifies 15 critical challenges after doing a thorough literature review, consulting with industry experts, and a dedicated questionnaire survey. The study finds that inadequate government policies and a lack of commitment from the top management are the major challenges to sustainable FGSM. The combination of the qualitative and quantitative model provides a comprehensive understanding of the identified factors and their interrelationships, offering a logical framework to support decision‐making and encourage sustainability. This paper contributes to the broader debate on sustainable food production and consumption by highlighting the importance of sustainable FGSM in emerging nations.

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The food grain supply chain (FGSC) is composed of several links, stretching from the point of production to the point of consumption. A broken connection might produce a food catastrophe. The structural imbalance of India's FGSC is an obstacle to achieving sustainability; this has to be addressed if the country is to preserve national food security. This present study aims to develop a systematic assessment of the risks and the priority of risk‐mitigating solutions in attaining sustainability in the Indian FGSC. Multiple groups of individuals and businesses involved in the FGSC have been surveyed and interviewed, with their responses analyzed. A total of 31 risk factors and 11 risk‐reduction strategies are identified. Further, the identified risk factors are classified into five‐dimensional sustainability criteria (environmental, economic, institutional, technical, and social) by using exploratory factor analysis (EFA). Then, a fuzzy analytical hierarchy process (FAHP), combined with the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) method, is adopted to find the most critical risk factors and choose the best course of strategies for risk mitigation. The study finds that inability to incorporate advanced technology imposes the highest risk to sustainability followed by natural disasters. Ensuring end‐to‐end computerization using advanced technology like agri 4.0 is the need of the hour in intercepting the range of FGSC risks. The results may help policymakers create a comprehensive risk mitigation plan and taxonomy to increase supply chain resilience.

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