Influence of the uncertainty of the operational parameters in obtaining cane syrup in sensorial attributes

Mejía, Víctor Rodrigo Cerda; Moreno, Walter Francisco Quezada; Martínez, Amaury Pérez; Oquendo-Ferrer, Hilda; Torres, Verena; Cerda-Mejía, Liliana; Suárez, Erenio Gónzalez

doi:10.3390/mol2net-02-03897

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…It is appreciated that being an artisan process, there is no pH control since the liming method is empirical, coinciding with that reported by Guerra and Mujica [22]. However, this variability of the operating parameter affects, according to Cerda [23], the quality of the final product. The level behavior is presented in figure 9.…”

Section: Writing and Transmission Of Variables Onlinesupporting

confidence: 56%

“…In the case of pH, a difference of 2.99 is appreciated. The variability of this operating parameter impacts the quality of cane honey, as reported by Cerda [23]. These differences may be because most sugar mills do not control acidity; it is carried out empirically, according to Mosquera, Carrera, and Villada [24].…”

Section: Operational Parameters As Design Variablesmentioning

confidence: 99%

“…Each sensor is configured with independent maximum and minimum values, and this monitoring reduces the variability of the operational parameters. According to Cerda [23] has a positive impact on the quality of the final product.…”

Section: Operational Parameters As Design Variablesmentioning

confidence: 99%

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Remote monitoring of operational parameters for the cane honey production process

Mejía

Rubio²,

Cortés

et al. 2021

Lámpsakos

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A local data acquisition, processing and storage system were implemented by means of an open source micro-controlled development card. To continuously measure the variables of the cane honey production process, it was performed using five temperature sensors, pH sensor and a level sensor. Each sensor was associated with a component set with its respective upper and lower reference values, during the processing of a batch of product. The main objective was to determine the effectiveness of using sensors and wireless communication technology to monitor operational parameters, in real time. In general, the recorded temperature, pH and level data obtained from sensors corresponded closely to the changes that occurred in the process, and the wireless communication nodes developed successfully measured and monitored the temperature, pH and level readings in real time. The study also found that the temperature, pH and level readings obtained by the sensors began to standardize more closely within the upper and lower limits. Furthermore, operational parameters could be reasonably predicted by applying a statistical model to measure temperature, pH and level. The present study also found that the operational parameters analyzed showed variability with its consequent effect on the quality of the final product. The findings of this study should serve as the first step towards any future research and development that may take place in the field of agro-industrial process design

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Section: Writing and Transmission Of Variables Onlinesupporting

confidence: 56%

Section: Operational Parameters As Design Variablesmentioning

confidence: 99%

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Remote monitoring of operational parameters for the cane honey production process

Mejía

Rubio²,

Cortés

et al. 2021

Lámpsakos

Self Cite

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“…Moreover, complementing the experimental results with new theoretical calculations (simulations), as well as with an uncertainty analysis, can reduce the number of defects. However, this evaluation is focused on a subsystem of quality analysis that can contribute to decision making during process design, which should consider technical, environmental, economic, and quality requirements (Cerda Mejía et al, 2017;Pérez-Martínez et al, 2012).…”

Section: Determination Of Uncertainty By the Gum Methodologymentioning

confidence: 99%

“…It was found that income reduces in the amount of 696 429 USD in a year of production (Table 6). This means that the data provided by Cerda Mejía et al (2017) andQuezada Moreno et al (2016) would have a huge economic impact. The negative effect of the number of defective products on the income for this iteration ranges between 30% and 52% in the range of the studied productions.…”

Section: Economic Benefitmentioning

confidence: 99%

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

et al. 2021

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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.

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Automatic Control System for Cane Honey Factories in Developing Country Conditions

Mejía

Rubio

et al. 2022

Processes

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(1) Background: A proposal for the automatic control of sugar cane honey factories based on simulation with real data is presented. (2) Methods: The P&ID diagram of the artisanal process is designed, as well as the measurement and control systems of the different process variables. A data acquisition and monitoring system is proposed with all the required equipment. Using GNU Octave software, the process was simulated, where the transfer functions and parameters of the different stages were determined. The transient responses of these systems are determined before step-jump type disturbances, as well as that of the controllers. (3) Results: A correct adjustment of the controllers is obtained, indicating those that work in a stable way before disturbance variations in the real ranges of plant work. (4) Conclusions: Simulation of controllers before different forcing functions in the ranges of the operating parameters allowed for establishing dynamic responses of each one, demonstrating that they are capable of adjusting the value of the variable of interest or the control, and determining control of the main operating variables.

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Influence of the uncertainty of the operational parameters in obtaining cane syrup in sensorial attributes

Cited by 3 publications

References 2 publications

Remote monitoring of operational parameters for the cane honey production process

Remote monitoring of operational parameters for the cane honey production process

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

Automatic Control System for Cane Honey Factories in Developing Country Conditions

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