Computer-supported probabilistic engineering tools assisting fill optimization and the waste reduction of low/intermediate moisture foods supporting vulnerable populations

Abstract

This work focuses on the shelf-life of moisture-sensitive products, particularly intermediate-moisture (IMFs) and low-moisture foods (LMFs), which can support the needs of vulnerable populations. Deterministic and probabilistic engineering methodologies, i.e., ignoring and considering the variability of parameters used in calculations, respectively, were compared when selecting the initial water activity of product mix components or the packaging materials achieving the shelf-life necessary to reach consumers with safe and high quality products, and when filling packages with the declared net weight. This document presents detailed examples and reviews published computational tools developed to solve these cases. The application of probabilistic engineering and computer supported tools can help developers optimize the product formulation and packaging material selection to reduce food waste by increasing the probability that products will have the shelf-life necessary to be stored and distributed to reach all consumers, and particularly at-risk populations and those affected by natural or man-made disasters.

Industrial relevance

Undoubtedly, the need for food waste reduction is now a key responsibility for food producers and consumers. The lack of sufficient food creates social and economic instability, and this is an unfavorable situation for the growth of the food industry. Food waste also increases the cost of products, particularly when retailers and consumers demand a refund for a product that did not meet the shelf-life declared or at least expected for the product. This work reviews computer supported probabilistic engineering tools to reduce the waste of products with a shelf-life controlled by the product formulation and the moisture barrier properties of the packaging material.