Simulation strategy to reduce quality uncertainty in the sugar cane honey process design

Victor Cerda-Mejia,Isnel Benítez-Cortés,Galo Cerda-Mejia,Karel Diéguez-Santana,Amaury Pérez-Martínez,Erenio González-Suárez,Estela Guardado-Yordi

doi:10.15446/ing.investig.v41n1.81484

Abstract

This work proposes to increase the acceptability of the sensory quality attributes of sugarcane honey by simulating and decreasing the uncertainty of operational parameters. To this effect, it relies on the development of a case study through a strategy that contemplates the analysis of the initial data and performs calculations through the use of mathematical models, the determination of the Sigma quality level, and the use of the GUM methodology (Guide to the expression of uncertainty in measurement). It was demonstrated that a range with a great variability in the initial operational parameters generated a Sigma level of less than three and a decrease in revenues of 30-52% due to low product sales for the studied productions. By decreasing pH uncertainty from 3,79 to 4,21, and Brix degrees from 75,13 to 76,88, an increase in the Sigma level of quality was observed, which exceeded six, in compliance with product quality specifications, as well as a reduction in economic losses due to defective products. The importance of quality in the product design and the process is evinced, given its influence on the acceptability of the product and the feasibility of the process.

Highlights

Within the agroindustry, there are crucial goals such as quality, which must respond to the growing demands of the consumer
Case study was based on the data and models obtained in the research published by Quezada Moreno et al (2016)
High mean absolute deviation (MAD) values represent the variability of the data and, of a greater dispersion of experimental values (Pérez, Aldana, and Arguello, 2016)

Summary

Introduction

There are crucial goals such as quality, which must respond to the growing demands of the consumer. The development of new products and agroindustrial processes results from the interaction of men, materials, and equipment, which should establish an organized system that enables the maximization of benefits (Prieto, Mouwen, López Puente, and Cerdeño Sánchez, 2008). In this sense, process design or redesign in this type of industry acquires a special importance, since it is possible to. Simulation Strategy to Reduce Quality Uncertainty in the Sugar Cane Honey Process Design.

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Conclusion