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

Author

Listed:
  • Ankur Chauhan

    (Indian Institute of Management Bodh Gaya)

  • Harpreet Kaur

    (Birla Institute of Management Technology, Noida)

  • Sachin Yadav

    (DMS, Indian Institute of Technology Delhi)

  • Suresh Kumar Jakhar

    (Indian Institute of Management Lucknow)

Abstract

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.

Suggested Citation

  • Ankur Chauhan & Harpreet Kaur & Sachin Yadav & Suresh Kumar Jakhar, 2020. "A hybrid model for investigating and selecting a sustainable supply chain for agri-produce in India," Annals of Operations Research, Springer, vol. 290(1), pages 621-642, July.
    • Handle: RePEc:spr:annopr:v:290:y:2020:i:1:d:10.1007_s10479-019-03190-6
    DOI: 10.1007/s10479-019-03190-6
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    References listed on IDEAS

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    1. Lucy Jarosz, 2000. "Understanding agri-food networks as social relations," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 17(3), pages 279-283, September.
    2. Murthy, D. Sreenivasa & Gajanana, T.M. & Sudha, M. & Dakshinamoorthy, V., 2009. "Marketing and Post-Harvest Losses in Fruits: Its Implications on Availability and Economy," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 64(2), pages 1-17.
    3. Alexandratos, Nikos & Bruinsma, Jelle, 2012. "World agriculture towards 2030/2050: the 2012 revision," ESA Working Papers 288998, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    4. Gwo-Hshiung Tzeng & Chi-Yo Huang, 2012. "Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems," Annals of Operations Research, Springer, vol. 197(1), pages 159-190, August.
    5. Govindan, Kannan & Palaniappan, Murugesan & Zhu, Qinghua & Kannan, Devika, 2012. "Analysis of third party reverse logistics provider using interpretive structural modeling," International Journal of Production Economics, Elsevier, vol. 140(1), pages 204-211.
    6. Wilmsmeier, Gordon & Sanchez, Ricardo J., 2009. "The relevance of international transport costs on food prices: Endogenous and exogenous effects," Research in Transportation Economics, Elsevier, vol. 25(1), pages 56-66.
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    2. Qi-Zhen Zhang & Shan Jiang & Ran Liu & Hu-Chen Liu, 2020. "An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management," Mathematics, MDPI, vol. 8(10), pages 1-16, October.
    3. Chunguang Bai & Simonov Kusi-Sarpong & Sharfuddin Ahmed Khan & Diego Vazquez-Brust, 2021. "Sustainable buyer–supplier relationship capability development: a relational framework and visualization methodology," Annals of Operations Research, Springer, vol. 304(1), pages 1-34, September.
    4. Ayushi Srivastava & Kavya Dashora, 2022. "A Fuzzy ISM approach for modeling electronic traceability in agri-food supply chain in India," Annals of Operations Research, Springer, vol. 315(2), pages 2115-2133, August.

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