Comparison of desirability function (DF) and overall equipment effectiveness (OEE) with mathematical model for optimization in fruit juice production process

Enhancing machine efficiency is of fundamental concern in modern manufacturing. This study compares the desirability function (DF) and overall equipment effectiveness (OEE) using a mathematical model for optimizing the fruit juice production process. This study integrated these methodologies to enhance fruit juice production efficiency, productivity, and quality by utilizing advanced optimization techniques and analytical methods. The desirability function method can be optimized for the process conditions of fruit juice: temperature of 60 °C, filling setup of 190 ml, and pressure of 0.4 MPa. It achieved a defect of 203 bottles monthly, a rework of 681 bottles, a downtime of 250 min, and an OEE of 0.7965 or 79.65%, which can reduce the total cost of the present method and the OEE with a mathematical model of 28.01% and 11.87%, respectively. The energy consumption of the fruit was determined to be 9,681.33 MJ. The overall energy consumption can be classified into three categories: electric, thermal, and manual energy, representing 18.36%, 81.29%, and 0.35% of the total energy consumption, respectively. Overall, the results highlight techniques and insights for improving the processes to meet the business needs and operations of the beverage industry.

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Publication Details

Journal
Cogent Engineering
Published
2024-10-11
DOI
https://doi.org/10.1080/23311916.2024.2412365
Citations
1
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.24
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article

Comparison of desirability function (DF) and overall equipment effectiveness (OEE) with mathematical model for optimization in fruit juice production process

Chawisorn Phukapak, Narong Wichapa, Narathip Pawaree
1 citations
Cogent Engineering
Spectroscopy and Chemometric Analyses
0.24
article

Comparison of desirability function (DF) and overall equipment effectiveness (OEE) with mathematical model for optimization in fruit juice production process

Chawisorn Phukapak, Narong Wichapa, Narathip Pawaree
article en
1 citations

Abstract

Enhancing machine efficiency is of fundamental concern in modern manufacturing. This study compares the desirability function (DF) and overall equipment effectiveness (OEE) using a mathematical model for optimizing the fruit juice production process. This study integrated these methodologies to enhance fruit juice production efficiency, productivity, and quality by utilizing advanced optimization techniques and analytical methods. The desirability function method can be optimized for the process conditions of fruit juice: temperature of 60 °C, filling setup of 190 ml, and pressure of 0.4 MPa. It achieved a defect of 203 bottles monthly, a rework of 681 bottles, a downtime of 250 min, and an OEE of 0.7965 or 79.65%, which can reduce the total cost of the present method and the OEE with a mathematical model of 28.01% and 11.87%, respectively. The energy consumption of the fruit was determined to be 9,681.33 MJ. The overall energy consumption can be classified into three categories: electric, thermal, and manual energy, representing 18.36%, 81.29%, and 0.35% of the total energy consumption, respectively. Overall, the results highlight techniques and insights for improving the processes to meet the business needs and operations of the beverage industry.

Cogent EngineeringVol. 11(1)
Udon Thani Rajabhat University (TH), Kalasin University (TH), Rajabhat Maha Sarakham University (TH)
Zero hunger
Openalex Percentile: Top 51%
Spectroscopy and Chemometric Analyses
0.24
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Comparison of desirability function (DF) and overall equipment effectiveness (OEE) with mathematical model for optimization in fruit juice production process — Chawisorn Phukapak, Narong Wichapa, et al. · Cogent Engineering (2024) | TGRS Research Map | TGRS