The Quality Improvement of Tube Ice Production Process by using Central Composite Design

Authors

  • Nipas Leenatham Department of Industrial Management Technology, Faculty of Science and Technology, Suratthani Rajabhat University
  • Suwanna Ponpakdee Department of Industrial Management Technology, Faculty of Science and Technology, Suratthani Rajabhat University

DOI:

https://doi.org/10.55003/ETH.410303

Keywords:

Tube Ice Production Process, 2k Full Factorial Design, Central Composite Design

Abstract

This research aimed to find optimum process conditions in tube ice production. The design of experiments was utilized to improve quality in the production process. The primary data were collected and found the substandard product size problem in large-tube ice manufacturing, averaging 159 tons per month and accounting for 83.25 percent of all production issues. These were the main problems of the research. According to the analysis to find a solution to the problem, the non-standard size issue was mainly caused by the temperature of raw feed water intake (A), the temperature of the ice-maker machine itself (B), the temperature inside the ice production plant (C), and the improper handling of production time parameters (D). In this study, the problematic issues were improved by applying the 2 step-design of experiments. The first step to experiment basically used the 2k full factorial design for screening the nonrelated factors to the non-standard size proportion. Secondly, in order to determine the optimal factors of the tube ice production process, this step utilized the Central Composite Design (CCD). According to the experimental analysis, the optimum condition in tube ice production process was derived by regression equation. The percent proportion of the substandard large tube ice was represented by 7.72433 + 0.10813A + 0.12271B + 0.11729C - 0.09521D + 0.03877AA + 0.05252CC - 0.03844AC, which interpreted the most suitable equation in regression model. After incorporating the parameters in the process, the proportion of the substandard ice tube size was reduced by 8.37 percent and the non-standard remake production cost was decreased by 18,331.40 Baht a month.

References

C. Singhakant, “Hazards from Contaminated Ice, Related Laws and Sanitation,” Public Health & Health Laws Journal, vol. 4, no. 2, pp. 279–293, 2018.

P. Sudasna-na-Ayudthya and P. Luangpaiboon, “Introduction,” in Design and analysis of experiment, 1st ed. Bangkok, Thailand: Top Publishing, 2008, ch. 1, sec. 1, pp. 1–4.

D. C. Montgomery, “Factorial and Fractional Factorial Experiments for Process Design and Improvement,” in Introduction to statistical quality control, 8th ed. New York, NJ, USA: John Wiley & Sons, 2019, ch. 13, sec. 5, pp. 523–550.

D. C. Montgomery, “Response Surface Methods and Designs,” in Design and analysis of experiments, 10th ed. New York, NJ, USA: John Wiley & Sons, 2019, ch. 11, sec. 4.2, pp. 430–436.

A. Leenatham and P. Khemavuk, “Process Improvement of PTCA Guide Wire by Using Design of Experiment,” SWU Engineering Journal, vol. 14, no. 2, pp. 12–24, 2019.

L. Ma, D. Djurdjanovic and R. Dugnani, “Statistical accuracy of fractographic estimation in silicate glasses with design of experiments and pairwise T-tests,” Engineering Failure Analysis, vol. 116, 2020, Art. no. 104699, doi: 10.1016/j.engfailanal.2020.104699.

A. Semsri, “Determination of Optimum Temperature of Barrel Heater for Reducing Waste in Plastic Injection Molding Process of Tractor Turn Signal Cover Parts using DMAIC Techniques,” Engineering and Technology Horizons, vol. 39, no. 3, pp. 111–130, 2022.

N. Leenatham, W. Sudsomboon, S. Kaewkuekool, C. Kaewdee and W. Pansrinual, “The Efficiency Improvement of STR 20 Block Rubber Production Process by Using Design of Experiments,” Naresuan University Engineering Journal, vol. 16, no. 1, pp. 119–139, 2021. doi: 10.14456/nuej.2021.12.

H. Boumaiza, P. Dutournié, J -M. Le Meins, L. Limousy, J. Brendlé, C. Martin, N. Michau and L. Dzene, “Iron-rich clay mineral synthesis using design of experiments approach,” Applied Clay Science, vol. 199, 2020, Art. no. 105876, doi: 10.1016/j.clay.2020.105876.

T. L. S. Coelhoa, F. M. S. Braga, N. M. C. Silva, C. Dantas, C. A. Lopes, S. A. A. Sousa and E. C. Vieira, “Optimization of the protein extraction method of goat meat using factorial design and response surface methodology,” Food Chemistry, vol. 281, pp. 63–70, 2019, doi: 10.1016/j.foodchem.2018.12.055.

S. Silaloy, P. Srisattayakul and C. Na-Badalung, “Parameter optimization of 7-wires strand process,” RMUTL Engineering Journal, vol. 8, no. 1, pp. 11–20, 2023, doi: 10.14456/rmutlengj.2023.2.

N. Chanchay, A. Siangsuepchart and S. Boonkerd, “Optimization using Central Composite Design (CCD) for the Carotenoid Production from Rhodotorula rubra MJU18 on Corn Dust by Solid State Fermentation,” King Mongkut’s Agricultural Journal, vol. 37, no. 2, pp. 332–341, 2019.

P. Yartprom and A. Chinsuwan, “An Improvement of Tubular-Ice Making Machine Coefficient of Performance with a Commercial Water Chiller,” Engineering and Technology Horizons, vol. 40, no. 1, pp. 126–138, 2023.

K. Pochana and P. Jongpanyalert, “Reduction of Downtime Rate of Machines in Ice Tube Production Process: A Case Study of Khlong Ngae Ice Tube Factory,” Journal of Industrial Technology Ubon Ratchathani Rajabhat University, vol. 5, no. 2, pp. 101–116, 2015.

N. Phannuchareonwong, C. Benchapiyaporn, R. Ladsritha and S. Thongyotee, “The Study of Parameters Effect of Solidification Tubular Ice,” The Journal of Industrial Technology, vol. 9, no. 3, pp. 63–80, 2013.

M. Kaikaewkanjana, “Strengthening of the Measures to Control the Production of Ice Cubes in Chainat,” Thai Journal of Pharmacy Practice, vol. 7, no. 2, pp. 130–144, 2015.

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Published

2024-09-30

How to Cite

[1]
N. Leenatham and S. . Ponpakdee, “The Quality Improvement of Tube Ice Production Process by using Central Composite Design”, Eng. & Technol. Horiz., vol. 41, no. 3, p. 410303, Sep. 2024.

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Section

Research Articles