Study and Development of Supply Chain Models for 
Food Grain Storage and Transportation Costs

Ananta Kumar Mahato; Ashalata Keshri; Badal Kumar

doi:https://doi.org/10.14445/22315373/IJMTT-V71I12P103

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 71 | Issue 12 | Year 2025 | Article Id. IJMTT-V71I12P103 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I12P103

Study and Development of Supply Chain Models for Food Grain Storage and Transportation Costs

Ananta Kumar Mahato, Ashalata Keshri, Badal Kumar

Received	Revised	Accepted	Published
09 Oct 2025	20 Nov 2025	12 Dec 2025	27 Dec 2025

Citation :

Ananta Kumar Mahato, Ashalata Keshri, Badal Kumar, "Study and Development of Supply Chain Models for Food Grain Storage and Transportation Costs," International Journal of Mathematics Trends and Technology (IJMTT), vol. 71, no. 12, pp. 13-18, 2025. Crossref, https://doi.org/10.14445/22315373/IJMTT-V71I12P103

Abstract

India’s food security problem is not one of production but of effective distribution and conservation. Even though India is one of the world’s highest producers of food grains like rice and wheat, systemic inefficiencies in procurement, storage, and transport still result in considerable wastage. This problem has been especially acute in such states as Jharkhand, where infrastructural constraints, interstate transportation over long distances, and inadequate integration of milling expenses into supply chain planning heighten inefficiencies. Although existing literature has taken up interstate food grain movement and storage optimization, little attention has been devoted to the transport of paddy from procurement centers to rice mills and the accompanying milling fees, which are essential cost elements within state-level supply chains. The current research endeavors to create a mathematical optimization model specific to the supply chain of food grains in Jharkhand. The model combines prominent cost drivers such as procurement-center to mill transport, milling costs, transfer from mill to warehouse, warehousing charges, and ultimate distribution via the Public Distribution System (PDS). With these aspects incorporated, the research aims to create optimized schedules that minimize total expense and grain loss. Linear programming methods are used to construct and optimize the model, and hypothetical data are created to mimic real-world conditions in Jharkhand. Optimization results show potential savings in total supply chain costs of about 10–13% over the current unsystematic procedure. Better utilization of warehouses, optimized transport flows, and cost-conscious assignment of grains to rice mills prove the efficacy of the model proposed. The research implications go beyond operational effectiveness; they yield policy-relevant findings for the Food Corporation of India (FCI) as well as the State Food Corporation (SFC) of Jharkhand, pointing to avenues of lessening hunger and increasing PDS dependability.

Keywords

Food grain, Supply chain models, Linear programming (LP), Transportation costs, Jharkhand.

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