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.
Published Version
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