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Integration of SWOT-AHP Approach for Measuring the Critical Factors of Dairy Supply Chain

Author

Listed:
  • Rahul S. Mor

    (Department of Food Engineering, National Institute of Food Technology Entrepreneurship & Management, Kundli, Sonepat, Haryana 131028, India)

  • Arvind Bhardwaj

    (Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar 144011, India)

  • Sarbjit Singh

    (Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar 144011, India)

Abstract

Dairy farming is a subsidiary profession of agriculture in India where dairy cooperatives are an important part of rural development. The current study explores the critical factors in the dairy supply chain, and provides an initial decision framework for its implications. The necessary data were collected from dairy producer members including dairy farmers, executives, and key informants of processing units, to summarize the strengths, weaknesses, opportunities, threats (SWOT) of the milk processing system in India. This includes identifying the objectives of the dairy industry, along with the internal and external critical factors (CFs). SWOT exploration does not offer any investigative basis for evaluating the priorities of CFs, therefore the analytic hierarchy process is applied to define the priorities of identified CFs. The CFs have also been ordered according to relative importance. The findings of this study depict that the SWOT based methodology offers vital sensitivity in assessing the supply chain strategies for the dairy industry.

Suggested Citation

  • Rahul S. Mor & Arvind Bhardwaj & Sarbjit Singh, 2019. "Integration of SWOT-AHP Approach for Measuring the Critical Factors of Dairy Supply Chain," Logistics, MDPI, vol. 3(1), pages 1-14, February.
    • Handle: RePEc:gam:jlogis:v:3:y:2019:i:1:p:9-:d:208627
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    References listed on IDEAS

    as
    1. Mor, Rahul S & Bhardwaj, Arvind & Singh, Sarbjit, 2018. "A structured-literature-review of the supply chain practices in dairy industry," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 11(1), June.
    2. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    4. Luthra, Sunil & Mangla, Sachin Kumar & Xu, Lei & Diabat, Ali, 2016. "Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 342-349.
    5. Ankita Ray & Arijit De & Pranab Kr. Dan, 2015. "Facility location selection using complete and partial ranking MCDM methods," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(2), pages 262-276.
    6. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    7. Kumar, Anjani & Staal, Steven J. & Singh, Dhiraj Kumar, 2011. "Smallholder Dairy Farmers’ Access to Modern Milk Marketing Chains in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(2), December.
    Full references (including those not matched with items on IDEAS)

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