DESINGING OF MILLET BASED CONVENIENT BREAKFAST MIX USING LINEAR PROGRAMMING APPROACH

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

India is a leading producer of small millet and it have health promoting effects equal or even in higher amount than fruits and vegetables and have a protective effect against degenerative diseases. One of the convenient breakfasts mix prepared from little millet and the product formulation could be done using a computer-based modelling approach to reduce the errors and biases that can occur when using a consultation process alone. Formulations were designed using linear programming (LP) model to minimise the total cost of finished product. The breakfast mix was developed using little millet rice, dried coconut and sugar with varying quantities of ingredients. Cost and nutritive value of LP formulated mix was calculated and sensory evaluation also was done. The low cost mix (Rs. 42/kg) obtained using linear programming is little millet (51.0 %), dried coconut (32.8 %) and sugar (16.2 %). The formulated mix provides 5.05-6.53 g of protein, 140 mg of calcium and 5.96-7.72 mg of iron. Sensory evaluation results revealed that all the formulated mix scored acceptability range. Linear programming is useful software tool to develop the therapeutic and supplementary foods to minimize the cost of a product

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Keywords

Breakfast mix, linear programming, millets, nutritive value