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

1
Department of Food Engineering, National Institute of Food Technology Entrepreneurship & Management, Kundli, Sonepat, Haryana 131028, India
2
Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar 144011, India
*
Author to whom correspondence should be addressed.
Logistics 2019, 3(1), 9; https://doi.org/10.3390/logistics3010009
Received: 28 January 2019 / Revised: 18 February 2019 / Accepted: 18 February 2019 / Published: 24 February 2019
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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. View Full-Text
Keywords: dairy industry; SWOT analysis; analytic hierarchy process (AHP), critical factors; multiple criteria decision making; supply chain dairy industry; SWOT analysis; analytic hierarchy process (AHP), critical factors; multiple criteria decision making; supply chain
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Mor, R.S.; Bhardwaj, A.; Singh, S. Integration of SWOT-AHP Approach for Measuring the Critical Factors of Dairy Supply Chain. Logistics 2019, 3, 9.

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