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RASSA Journal of Science for Society
Year : 2019, Volume : 1, Issue : 1and2
First page : ( 70) Last page : ( 74)
Print ISSN : 2582-2136.

Study on Supply Chain Management of Basmati Rice in Jammu

Sharma Anil, Hamid Naveed*, Kachroo Jyoti, Singh S P

Division of Agricultural Economics and ABM, SKUAST-J, Main Campus, Chatha-180009, Jammu & Kashmir, India

*Corresponding Author bhatnaveedbhat@gmail.com

Online published on 30 November, 2019.

Abstract

Agriculture is an important part of India's economy, and at present, it is among the top two farm producers in the world. India is the leading exporter of the basmati rice to the global market as the country has exported 37, 02, 260.12 metric tonnes of basmati rice to the world for the worth of Rs. 27, 597.87 crores during the year 2014–15. The Jammu and Kashmir is considered to be favorable state of production of basmati rice with its pleasant climatic conditions. In Jammu and Kashmir, the basmati is confined to the areas of R.S. Pura, Samba and Kathua. Out of these areas, the maximum quantity of basmati is procured by the local company (Sarveshwar Foods Private Limited). The present study was carried out in Jammu district with the aim of understanding the supply chain management ofbasmati rice with special reference to Sarveshwar Foods Limited. The present study uses primary data (farmers, retailers, miller and wholesalers) and secondary data for fulfilling the objectives of the study. The study adopts regression, descriptive analysis for analysis purposes. The results of the study revealed that the Supply Chain model and chain actors identified in Sarveshwar Foods Ltd. are farmers, retailers, miller and wholesaler. The study also depicts that the company has well established resource structure with sound strategic, tactical and operational level activities. The study also revealed that logistics (26 per cent), license procedure (2.50), lack of control on farmers (3.47) and un-fulfillment of demand in the market (3.23) are identified as the key constraints in the supply chain management.

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Keywords

SCM, Supply Chain, Regression, Logistics.

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