IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v56y2019i3d10.1007_s12597-019-00380-5.html
   My bibliography  Save this article

Strategic analysis of the Indian agri-food supply chain

Author

Listed:
  • Siya Ram Meena

    (PDPM Indian Institute of Information Technology, Design and Manufacturing)

  • Shambhu D. Meena

    (PDPM Indian Institute of Information Technology, Design and Manufacturing)

  • Saurabh Pratap

    (PDPM Indian Institute of Information Technology, Design and Manufacturing)

  • Rakesh Patidar

    (PDPM Indian Institute of Information Technology, Design and Manufacturing)

  • Yash Daultani

    (ABV Indian Institute of Information Technology and Management)

Abstract

Indian agri-food supply chain (AFSC) is highly unorganized in terms of flow of products, funds, and information, resulting in low profitability of farmers. In this paper, we have identified various internal factors (strengths and weaknesses) and external factors (opportunities and threats) of AFSC to make a strategic viewpoint. Based on the identified factors, questionnaire are prepared and circulated among experts from academics and industries to prioritize the identified factors. Further, analytical hierarchy process (AHP) and Fuzzy-AHP methods are used to rank the identified strengths, weaknesses, opportunities and threats factors followed by comparative analysis. The results reveal that agriculture sectors significant contribute in national growth and it is a highest ranked strength. Small farm holding farmers is a major weakness of Indian agriculture system. These factors need to be addressed in designing of Indian AFSC, which has capability to stimulate the growth of overall agriculture sector as well as the nation.

Suggested Citation

  • Siya Ram Meena & Shambhu D. Meena & Saurabh Pratap & Rakesh Patidar & Yash Daultani, 2019. "Strategic analysis of the Indian agri-food supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 965-982, September.
    • Handle: RePEc:spr:opsear:v:56:y:2019:i:3:d:10.1007_s12597-019-00380-5
    DOI: 10.1007/s12597-019-00380-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-019-00380-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-019-00380-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mogale, D.G. & Kumar, Mukesh & Kumar, Sri Krishna & Tiwari, Manoj Kumar, 2018. "Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 40-69.
    2. Ajay Bohtan & Prem Vrat & Anil K. Vij, 2017. "Supply chain of the Indian public distribution system: a new paradigm," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 110-123, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.
    2. Sudhanshu Joshi & Rohit Kumar Singh & Manu Sharma, 2023. "Sustainable Agri-food Supply Chain Practices: Few Empirical Evidences from a Developing Economy," Global Business Review, International Management Institute, vol. 24(3), pages 451-474, June.
    3. Javier Arturo Orjuela-Castro & Juan Pablo Orejuela-Cabrera & Wilson Adarme-Jaimes, 2022. "Multi-objective model for perishable food logistics networks design considering availability and access," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1244-1270, December.
    4. Vadivel Sengazhani Murugesan & A. H. Sequeira & Deeksha Sanjay Shetty & Sunil Kumar Jauhar, 2020. "Enhancement of mail operational performance of India post facility layout using AHP," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 261-273, April.
    5. Gaurvendra Singh & Yash Daultani & Rajendra Sahu, 2022. "Investigating the barriers to growth in the Indian food processing sector," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 441-459, June.
    6. Martin Flegl & Carlos Alberto Jiménez-Bandala & Isaac Sánchez-Juárez & Edgar Matus, 2022. "Analysis of production and investment efficiency in the Mexican food industry: Application of two-stage DEA," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 40(2), pages 109-117.
    7. Dhirendra Prajapati & Yash Daultani & Naoufel Cheikhrouhou & Saurabh Pratap, 2020. "Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 765-786, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maiyar, Lohithaksha M & Thakkar, Jitesh J, 2019. "Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 220-248.
    2. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    3. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    4. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    5. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).
    6. Jingwen Li & Ke Jing & Myroslav Khimich & Lixin Shen, 2023. "Optimization of Green Containerized Grain Supply Chain Transportation Problem in Ukraine Considering Disruption Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    7. Dayanna Rodrigues da Cunha Nunes & Orivalde Soares da Silva Júnior & Renata Albergaria de Mello Bandeira & Yesus Emmanuel Medeiros Vieira, 2023. "A Robust Stochastic Programming Model for the Well Location Problem: The Case of The Brazilian Northeast Region," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    8. Tomy Perdana & Diah Chaerani & Fernianda Rahayu Hermiatin & Audi Luqmanul Hakim Achmad & Ananda Fridayana, 2022. "Does an Alternative Local Food Network Contribute to Improving Sustainable Food Security?," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    9. Amir Daneshvar & Reza Radfar & Peiman Ghasemi & Mahmonir Bayanati & Adel Pourghader Chobar, 2023. "Design of an Optimal Robust Possibilistic Model in the Distribution Chain Network of Agricultural Products with High Perishability under Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    10. De, Arijit & Gorton, Matthew & Hubbard, Carmen & Aditjandra, Paulus, 2022. "Optimization model for sustainable food supply chains: An application to Norwegian salmon," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    11. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    12. Baharmand, Hossein & Comes, Tina & Lauras, Matthieu, 2019. "Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 86-110.
    13. Liming Yao & Zhongwen Xu & Ziqiang Zeng, 2020. "A Soft‐Path Solution to Risk Reduction by Modeling Medical Waste Disposal Center Location‐Allocation Optimization," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1863-1886, September.
    14. Kwag, Sung Il & Ko, Young Dae, 2019. "Optimal design for the Halal food logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 212-228.
    15. Manupati, Vijaya Kumar & Schoenherr, Tobias & Wagner, Stephan M. & Soni, Bhanushree & Panigrahi, Suraj & Ramkumar, M., 2021. "Convalescent plasma bank facility location-allocation problem for COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    16. Vitor Hugo Ferreira & Rubens Lucian da Silva Correa & Angelo Cesar Colombini & Márcio Zamboti Fortes & Flávio Luis de Mello & Fernando Carvalho Cid de Araujo & Natanael Rodrigues Pereira, 2021. "Big Data Analytics for Spatio-Temporal Service Orders Demand Forecasting in Electric Distribution Utilities," Energies, MDPI, vol. 14(23), pages 1-16, November.
    17. Mohebalizadehgashti, Fatemeh & Zolfagharinia, Hossein & Amin, Saman Hassanzadeh, 2020. "Designing a green meat supply chain network: A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 312-327.
    18. Ajay Bohtan & K. Mathiyazhagan & Prem Vrat, 2019. "Modeling the public distribution system: a PO-P approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1024-1066, September.
    19. Yazdekhasti, Amin & Wang, Jun & Zhang, Li & Ma, Junfeng, 2021. "A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    20. Kumar, Shashank & Raut, Rakesh D. & Queiroz, Maciel M. & Narkhede, Balkrishna E., 2021. "Mapping the barriers of AI implementations in the public distribution system: The Indian experience," Technology in Society, Elsevier, vol. 67(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opsear:v:56:y:2019:i:3:d:10.1007_s12597-019-00380-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.