품질보증 반환 데이터의 여러 가지 분석방법

백재욱,조진남,Baik, Jaiwook,Jo, Jinnam 한국데이터정보과학회 2015 한국데이터정보과학회지 Vol.26 No.1

A certain number of products are transported to be sold each month and some of them are returned for repair. In this study we first assume that the transported products are the ones that have been sold, Then nonparametric approach is applied to the warranty returns data to see how the reliability decreases over time. Parametric approach such as Weibull distribution is applied to the same data and the results for both nonparametric and parametric approaches are compared. Next we assume that there is a time lag between shipment and sale. Then both nonparametric and parametric approaches are applied to the time-lag data and the results are compared.

품질보증 반환 데이터의 신뢰성 분석

백재욱,조진남,Baik, Jaiwook,Jo, Jinnam 한국데이터정보과학회 2014 한국데이터정보과학회지 Vol.25 No.4

A certain number of products are sold each month and some of them are returned for repair. In this study both return rate and cumulative return rate are shown on the graph to show the general trend of how many products are returned as time goes by. Next this type of summary data can be considered as a conglomeration of both left and right censored data. So reliability analysis is attempted for this type of summary data. Lastly, left censored data can be traced to find the exact time period during which the product has been claimed. In that case the left censored data can be taken as failure data. So similar type of reliability analysis is attempted for the resulting right censored data.

일회용품의 신뢰성분석 방안

백재욱,Baik, Jaiwook 산업진흥원 2022 산업진흥연구 Vol.7 No.4

우리 주위를 살펴보면 한 번 사용하고 버리는 일회용품이 많다. 폭죽이나 탄약과 같은 일회용품이 대표적인데 이들 일회용품은 제조 후 한 동안 저장되어 있다가 필요한 때 사용하고 나면 폐기처분하게 된다. 하지만 이런 일회용품은 일반 운영장비와 달리 신뢰성평가가 제대로 이루어지지 못했다. 이에 본 연구에서는 일회용품 중에서 탄약에 대한 저장탄약신뢰성프로그램을 통해 탄약의 경우 신뢰성 확보를 위해 정부에서 어떤 일을 하는지 먼저 살펴본다. 이어서 통계분석적인 측면에서 탄약과 같은 일회용품에 대한 신뢰성분석 방안으로 어떤 것이 있는지 알아본다. 구체적으로 통계학에서 로트의 품질수준을 파악하는 샘플링검사를 활용하여 일정한 시기에 생산된 탄약에 대한 신뢰성의 수준을 파악할 수 있다. 본 연구에서는 KS Q0001인 계수규준형 1회 샘플링검사표를 이용할 수 있음으로 보여준다. 다음으로 탄약의 저장신뢰도를 파악할 수 있는 방법으로 비모수적인 방법과 모수적인 방법을 소개한다. 비모수적인 방법중에서 특히 Kaplan-Meier 방법은 중도중단데이터가 포함된 경우에도 활용될 수 있다. 마지막으로 모수적인 방법 중에는 신뢰성분석에 많이 활용되는 와이블분포가 탄약의 저장신뢰도를 파악하는 데에도 활용될 수 있다.

경쟁적 위험하에서의 회귀분석

백재욱,Baik, Jaiwook 한국신뢰성학회 2018 신뢰성응용연구 Vol.18 No.2

Purpose: The purpose of this study is to introduce regression method in the presence of competing risks and to show how you can use the method with hypothetical data. Methods: Survival analysis has been widely used in biostatistics division. But the same method has not been utilized in reliability division. Especially competing risks, where more than a couple of causes of failure occur and the occurrence of one event precludes the occurrence of the other events, are scattered in reliability field. But they are not utilized in the area of reliability or they are analysed in the wrong way. Specifically Kaplan-Meier method is used to calculate the probability of failure in the presence of competing risks, thereby overestimating the real probability of failure. Hence, cumulative incidence function is introduced. In addition, sample competing risks data are analysed using cumulative incidence function along with some graphs. Lastly we compare cumulative incidence functions with regression type analysis briefly. Results: We used cumulative incidence function to calculate the survival probability or failure probability in the presence of competing risks. We also drew some useful graphs depicting the failure trend over the lifetime. Conclusion: This research shows that Kaplan-Meier method is not appropriate for the evaluation of survival or failure over the course of lifetime in the presence of competing risks. Cumulative incidence function is shown to be useful in stead. Some graphs using the cumulative incidence functions are also shown to be informative.

저역필터 어셈블리에 대한 신뢰성시험 결과의 해석

백재욱(Jaiwook Baik) 한국신뢰성학회 2014 신뢰성응용연구 Vol.14 No.1

Thermal shock tests at two stress levels were performed to see the life (cycles) of LPF ASSY (low pass filter assembly) at normal stress level. In this case Coffin-Manson relationship is generally used to describe the relationship between the temperature difference and the life, together with the Weibull distribution describing the life at each stress level. So for given data Coffin-Manson is fitted to predict the life at normal stress level. However, different types of models are appropriate for this type of test. Hence, a more appropriate model such as General log-linear model which can also incorporate the duration at the highest and lowest temperatures and acceleration time will be introduced.

실린더 가속수명시험 결과의 평가

백재욱(Jaiwook Baik),조진남(Jinnam Jo) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.5

생존분석 모형을 활용한 산업재해 데이터의 분석

백재욱 ( Jaiwook Baik ) 산업진흥원 2020 산업진흥연구 Vol.5 No.1

The purpose of this study is to analyze the industrial accidents data with survival model. EDA approach is used to explore the relationship between two variables and among three variables for the past 10 years of industrial accidents data. Survival models are also tried. Survival curve drops more rapidly for the business with fewer employees as time goes by. Industrial accidents occur more often as the total number of industrial accidents gets larger and as the number of employees gets smaller. Agriculture, fishing and forestry have a higher level of industrial accidents than construction while service industry and ’transportationㆍstorage and telecommunication’ have a fewer number of industrial accidents than construction. Korea Safety and Health Agency’s and Ministry of Employment and Labor’s involvement were not effective but Civilian’s was. Recurrent event data analysis reveals all most the same result as for non-recurrent data analysis.

R의 neuralnet을 활용한 신경망분석

백재욱 ( Jaiwook Baik ) 산업진흥원 2021 산업진흥연구 Vol.6 No.1

We investigated multi-layer perceptrons and supervised learning algorithms, and also examined how to model functional relationships between covariates and response variables using a package called neuralnet. The algorithm applied in this paper is characterized by continuous adjustment of the weights, which are parameters to minimize the error function based on the comparison between the actual and predicted values of the response variable. In the neuralnet package, the activation and error functions can be appropriately selected according to the given situation, and the remaining parameters can be set as default values. As a result of using the neuralnet package for the infertility data, we found that age has little influence on infertility among the four independent variables. In addition, the weight of the neural network takes various values from -751.6 to 7.25, and the intercepts of the first hidden layer are -92.6 and 7.25, and the weights for the covariates age, parity, induced, and spontaneous to the first hidden neuron are identified as 3.17, -5.20, -36.82, and -751.6.

품질경영에서 측정시스템분석 방안

백재욱 ( Jaiwook Baik ) 산업진흥원 2021 산업진흥연구 Vol.6 No.3

There should be no problem in the measurement system for scientific quality management. In this paper, we want to correctly identify the factors that can affect the measurement results during the measurement process and identify what causes them when the measurement results cause problems in terms of location and variation. Variations in the measurement system are largely described in terms of location and dispersion. Location-related attributes are accuracy, stability, and linearity while dispersion-related attributes are reproducibility and repeatability. Analyzing the factors associated with dispersion is an R&R analysis, in which the size of repeatability and reproducibility is represented by a range of differences between multiple measurements and a range of differences between measurements, and 99% of dispersion is determined. Experimental design can also be used for measurement system analysis. Proper analysis is performed only when the factors causing the fluctuation, the worker and the product, are correctly identified as random or fixed factors.

2차원 데이터의 여러 가지 분석방법

백재욱(Jaiwook Baik) 한국신뢰성학회 2010 신뢰성응용연구 Vol.10 No.4

Modelling for failures is important for reliability analysis since failures of products such as automobiles occur as both time and usage progress and the results from the proper analysis of the two-dimensional data can be used for establishing warranty assurance policy. Hence, in this paper general issues which concern modelling failures are discussed, and both one-dimensional approaches and two-dimensional approaches to two-dimensional data are investigated. Finally non-parametric approaches to two-dimensional data are presented as a means of exploratory data analyses.