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Linear programming can be applied to identify a nutritionally adequate diet of the lowest cost, since price and nutrient contents are linearly related to food weight. Most computer spreadsheets now include an easy-to-use solver function that is suitable for this purpose. This approach can also be used to estimate the effect of introducing a food supplement on the minimal cost required to provide a nutritionally adequate diet. It can also provide an estimate of the expenses saved by families in relation to the sums spent by the donor after the distribution of a food supplement. This method is illustrated by comparing the economic value of two food supplements, a traditional blended flour and a nutrient-dense spread (a “foodlet”) in rural Chad. The limitations of this approach and the need to interpret its findings carefully in relation to field observations are discussed.

Local Food Price Analysis by Linear Programming: A New Approach to Assess the Economic Value of Fortified Food Supplements