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지도학습기법을 이용한 비선형 다변량 공정의 비정상 상태 탐지
손영태(Young-Tae Son),윤덕균(Deok-Kyun Yun) 대한산업공학회 2011 산업공학 Vol.24 No.1
Principal Component Analysis (PCA) reduces the dimensionality of the process by creating a new set of variables, Principal components (PCs), which attempt to reflect the true underlying process dimension. However, for highly nonlinear processes, this form of monitoring may not be efficient since the process dimensionality can’t be represented by a small number of PCs. Examples include the process of semiconductors, pharmaceuticals and chemicals. Nonlinear correlated process variables can be reduced to a set of nonlinear principal components, through the application of Kernel Principal Component Analysis (KPCA). Support Vector Data Description (SVDD) which has roots in a supervised learning theory is a training algorithm based on structural risk minimization. Its control limit does not depend on the distribution, but adapts to the real data. So, in this paper proposes a non-linear process monitoring technique based on supervised learning methods and KPCA. Through simulated examples, it has been shown that the proposed monitoring chart is more effective than T² chart for nonlinear processes.
이석훈 ( Seok Hoon Lee ),윤덕균 ( Deok Kyun Yun ) 한국품질경영학회 2004 품질경영학회지 Vol.32 No.3
In this paper we propose a new method of evaluating customers` service quality using triangle fuzzy numbers and semantic differential scale. These two parameters are useful for quantifying the customers` linguistic variables and subjective judgements. We define the Service Quality(SQ) as the ratio of the expected and perceived service and address the Agreement Rate(AR) calculated from the hamming distance in order to define the Service Rate(SR) as the geometric mean of the SQ and AR. Using the SR in the analysis of service attributes provides more appropriate to measure the customers` service quality and to establish a creative service policy for competitive service quality improvement.
일본 초고령사회의 산업구조 변화과정 분석을 통한 한국 산업구조 예측
안세환(Se-Hwan Ahn),윤덕균(Deok-Kyun Yun),김성도(Sung-Do Kim),박우균(Woo-Gyun Park) 한국산업경제학회 2012 산업경제연구 Vol.25 No.3
일본을 비롯한 많은 선진국들이 고령사회에 진입하였고, 산업측면에서 많은 변화와 준비가 있었다. 그 중에서도 일본은 세계에서 가장 먼저 초고령 사회에 진입하였으며, 역사적으로 고령인구의 증가속도와 산업의 발전과정, 정부 정책 등을 볼 때, 한국과 가장 유사하게 변화하여 왔다. 따라서 일본은 한국 산업의 미래를 전망함에 있어서 가장 좋은 예측모델이라 할 수 있다. 이에 본 연구에서는 이러한 한국과 일본의 산업구조간의 상관관계를 바탕으로 고령사회 및 초고령 사회에 닥쳐올 한국 산업의 구조를 예측 하고자 하였으며 이를 위해 한국의 과거데이터를 이용한 기존방식의 미래예측이 아닌 일본과 한국의 산업 유사성에 근거하여 일본의 데이터를 가지고 한국의 산업구조를 예측하고자 하였다. 이를 위해 고령화 비율이라는 독립변수를 사용하고 한국과 일본의 산업 간 유사성과 고령화 정도를 바탕으로 한국 산업구조를 예측하고자 하였다. 이러한 본 연구의 결과는 일본의 초고령 사회로 인한 산업의 변화를 토대로 한국의 산업구조를 예측함으로써 향후 겪게 될 한국의 고령 및 초고령 사회에 대비한 중요한 시사점을 도출 할 수 있을 것으로 본다. The lots of advanced countries, including the Japan entered into aged society and there were industrially lots of preparations and alterations. Japan was the first to enter into the super-aged society among these countries. According to pace of aging population growth, a process of development of industry and government policy, it has been changed most similar to Korea. Therefore, Japan is the best forecasting model to predict the future of Korean industry. In this study, we predict structure of Korean industry which is based on the correlation between Korean and Japanese industrial structure at the aged society and super-aged society. To achieve this, we predict structure of Korean industry not by using Korean historical data but by using similarity of industry between Korea and Japan. We use independent variable named aging index(aged 65 and over) to predict structure of Korean industry based on not only similarity of industry between Korea and Japan also aging degree. The result of this study can draw important implications for aged society and super-aged society of Korea by predicting structure of Korean industry as the foundation of alteration of industry caused by super-aged society of Japan.
Defuzzification을 고려한 TOPSIS 다기준 의사결정방법
김민주 ( Min Joo Kim ),윤덕균 ( Deok Kyun Yun ) 한국경영공학회 2012 한국경영공학회지 Vol.17 No.1
Companies in materials, assembling parts, services, and vendor evaluation and selection for purchase problem degree of uncertainty, decision makers, including criteria to consider the properties of the multi-criteria decision-making is an issue. This study in a group decision-making process, as measured by linguistic variables by fuzzy data based on the weight of decisions after interpreting defuzzification TOPSIS method to evaluate the study was about decision-making. As a result of this study to determine the evaluator`s ambiguous representation of linguistic variable, then by the number of fuzzy trapezoidal fuzzy set theory was applied to representing. Defuzzification weights were analyzed by considering decision problems, defuzzification when considering previous research among a more efficient decision-making alternatives were possible. Be able to choose a more viable alternative to the proposed methodology.
김계완 ( Kye Wan Kim ),서현수 ( Hyun Soo Seo ),윤덕균 ( Deok Kyun Yun ) 한국품질경영학회 2004 품질경영학회지 Vol.32 No.2
Using the p chart is not adequate in case that there are lots of data and it is difficult to divide into products conforming or nonconforming because of obscurity of binary classification. So we need to design a new control chart which represents obscure situation efficiently. This study deals with the method to performing arithmetic operation representing fuzzy data into fuzzy set by applying fuzzy set theory and designs a new control chart taking account of a concept of classification on the term set and membership function associated with term set.
윤철환 ( Cheol Hwoan Yoon ),김용필 ( Yong Pil Kim ),윤덕균 ( Deok Kyun Yun ) 한국품질경영학회 2004 품질경영학회지 Vol.32 No.3
Obtaining and fully understanding the true requirements of customers is hard task. However, successful use of quality function deployment(QFD) depends on capturing customers` requirements and reflecting them during the design of a product. One of common mistakes in QFD is to perform analysis using an inconsistent house of quality(HoQ) chart. This article presents a model for prioritizing customer attributes and design characteristics in order to make a product more attractive to customers. The proposed model modifies the analytic hierarchical process(AHP) with simple pairwise comparison. Our exploration using of QFD identifies how practitioners maintain consistency, whist quantifying HoQ speedily from the customer`s perspectives. This paper also identifies and justifies an alternative position on QFD that is supported by statistical examples.
김성도 ( Sung Do Kim ),유제일 ( Je Il Yu ),윤덕균 ( Deok Kyun Yun ) 한국경영공학회 2011 한국경영공학회지 Vol.16 No.3
Several issues arise from currently our country at the turn of the aging society. Model to describe them to identify the international competitiveness of aging index is used, but these aging index is exposed to a variety of issues. First, advanced countries that unconditionally the aging index is high. second, they are have problems does not explain the periodic growth rate of the aging. In this study. Would like to built a not only population aging index but also industrial structure aging index model. Finally, in order to build a industrial structure aging index model to industrial structure was reclassified and analyze the relationship between it and actual regional natural age. This helps analyze the various issues for national competitiveness and it will be able to discuss new ways.