OPTIMIZING FOOD SUPPLY CHAIN MANAGEMENT THROUGH ADVANCED REGRESSOR-BASED TIME SERIES FORECASTING

Authors

  • Dr. Y. Geetha Reddy , Vaishnavi Thandu, Ramaa Manish Rahatekar, Sandi Sreeya Reddy

Keywords:

Food supply chain management, Demand-supply mismatches, Economic sustainability

Abstract

Food supply chain management is a critical domain in agriculture and retail industries, aiming to ensure the efficient production, transportation, and delivery of food products to consumers. In India, the food supply chain faces challenges such as excessive wastage, demand-supply mismatches, and delays in logistics. Reports suggest that 40% of food produced in India is wasted annually due to inefficiencies, costing the economy around ₹92,000 crores ($12 billion). With rising demand due to population growth (expected to reach 1.6 billion by 2050), addressing inefficiencies is vital for food security and economic sustainability.

References

Chen, F.; Drezner, Z.; Ryan, J.K.; Simchi-Levi, D. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Manag. Sci. 2000, 46, 436–443. [Google Scholar] [CrossRef]

Gonçalves, J.N.; Cortez, P.; Carvalho, M.S.; Frazao, N.M. A multivariate approach for multi step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain. Decis. Support Syst. 2021, 142, 113452. [Google Scholar] [CrossRef]

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Published

2024-12-31

How to Cite

Dr. Y. Geetha Reddy , Vaishnavi Thandu, Ramaa Manish Rahatekar, Sandi Sreeya Reddy. (2024). OPTIMIZING FOOD SUPPLY CHAIN MANAGEMENT THROUGH ADVANCED REGRESSOR-BASED TIME SERIES FORECASTING . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1380–1385. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1676

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