Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Wheat Procurement Forecasting for Indian PDS Using Regression Model

Author : Vasu malai Kannan 1 Ankita Singh 2

Date of Publication :1st August 2022

Abstract: In this paper the regression model is developed to forecast the wheat procurement for PDS in India. The FCI(Food Corporation of India) procure various food grain to ensure food security to all Indians. Indian PDS(Public Distribution System) is one of the largest supply chain which covers more than 800 million beneficiaries and have FPS(Fair price Shops) across the country. In this paper we computed the errors and Theil’s U coefficient for the proposed method to show its efficacy and the results turned out to be acceptable.

Reference :

    1. Singh, S.K.; Jenamani, M.; Dasgupta, D.; Das, S. A conceptual model for Indian public distribution system using consortium blockchain with on-chain and off-chain trusted data. Information Technology for Development Volume 27, 2021 - Issue 3: Special issue on Blockchain for Development
    2. Bliemel, F. (1973). Theil’s Forecast Accuracy Coefficient: A Clarification. Journal of Marketing Research, 10(4), 444–446. https://doi.org/10.2307/3149394
    3. Tanksale, A. and Jha J.K. Developing a mathematical model to optimize foodgrains storage and transport for public distribution system in India. NITIE–POMS Conference, NITIE, Mumbai, India, Dec 18-21, 2014
    4. Development of an Effective Cost Minimization Model for Food Grain Shipments Manoj Kumar Tiwari Lohithaksha M.Maiyar, Jitesh J.Thakkar, Anjali Awasthi, IFAC- Papers On Line 48-3 INCOM (2015) 881–886
    5. Modelling supply chain network for procurement of food grains in India D. G. Mogalea , Abhijeet Ghadgeb , Sri Krishna Kumara , Manoj Kumar Tiwaria International Journal of Production Research, 2019 

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