2022, Vol.7, No.4

Industry Promotion Research 2023 KCI Impact Factor : 0.83

pISSN : 2466-1139 / eISSN : 2714-013X
https://journal.kci.go.kr/ipir

There are many one-shot devices that are used once and thrown away. One-shot devices such as firecrackers and ammunition are typical, and they are stored for a while after manufacture and then disposed of after use when necessary. However, unlike general operating systems, these one-shot devices have not been properly evaluated. This study first examines what the government does to secure reliability in the case of ammunition through ammunition stockpile reliability program. Next, in terms of statistical analysis, we show what the reliability analysis methods are for one-shot devices such as ammunition. Specifically, we show that it is possible to know the level of reliability if sampling inspection plan such as KS Q 0001 which is acceptance sampling plan by attributes is used. Next, non-parametric and parametric methods are introduced as ways to determine the storage reliability of ammunition. Among non-parametric methods, Kaplan-Meier method can be used since it can also handle censored data. Among parametric methods, Weibull distribution can be used to determine the storage reliability of ammunition.

This study evaluated the automated system of the roll bending process, which is one of the difficult processes. In the past, 20 cartridges were produced per hour. but Automation changed it to a process that produces 50 pieces per hour. The average value of production was 57.6 pieces per hour, error of repeatability was 0.03 mm, average roll diameter error value was 0.49 mm, average alignment error value was 0.09 mm and average process lead time was 43.21 seconds. This paper presented specific evaluation methods such as productivity, repeatability, defect rate, alignment defect rate, and process lead time. It is thought that the contents performed in this study will be helpful in the verification of other automation systems in the future.

This study is a study to analyze the effect of corporate working environment on job enthusiasm. Based on the 6th work environment survey conducted between 2020 and 2021 among data from the National Statistical Office, some 440 data were used for analysis. The analysis results are summarized as follows. First, the job satisfaction that the working environment had on job enthusiasm had a statistically significant effect with a β value of .307. Second, it was analyzed that there was a statistically significant difference in job enthusiasm according to general characteristics in employment type and income level. The significance probabilities were .028 and .012, respectively, and there was a significant difference between the groups of temporary workers and daily workers in employment type. was analyzed to exist. Third, there was no significant relationship between gender and work environment satisfaction. However, in Satisfied, 148 men and 181 women, out of a total of 329 respondents, 45% male and 55% female in satisfaction. could know a little more. This study is considered to be necessary to provide opportunities and resources so that members of the organization can demonstrate their abilities by creating a working environment that workers can be satisfied with.