• 산업경영시스템학회지
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• 제21권46호
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• pp.229-240
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• 1998

In these days, we are facing the needs of the times that the product have to be converted from quantity to quality. Most companys now pay more attention to maximize efficiency of facilities with introducing high priced equipments, those equipments are too automated and electronic that partial failure or short time stop leads to the stop of producing process in the whole factory. Consequently, effective maintenance management of production equipment becomes a only solution against problems. This thesis develops a preventive maintenance software that grasp a failure sign through daily inspection with management item, Machine-Capability index and estimate a trend, determine the time of preventive maintenance. The software is useful to the plant operator in analyzing information easily and controlling preventive maintenance operations efficiently.

• 품질경영학회지
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• 제27권1호
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• pp.46-58
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• 1999

The exact distributions of the sample variance $(S^2_n)$ and the estimator ($\hat{C}_p$) of the process capability index are not easily obtained in general. In this paper, the approximations using saddlepoint techniques to the distributions of these statistics are suggested and compared with the other approximation methods. For comparisons, the exact values obtained by extensive Monte-Carlo (simulation) studies are also given. As a result, the suggested approximation methods are very accurate even in moderate or small sample sizes and are easy to use. Also, the suggested methods can be adapted to approximate the distributions of more complicated statistics, including $\hat{C}_pk$ ,$\hat{C}_pm$, etc.

• 품질경영학회지
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• 제30권4호
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• pp.15-25
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• 2002

This paper considers supplier selection process for e-business & ISO 9001 quality management system environments. Determining suitable suppliers in the electronic commerce has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In this paper, a Quality Estimated Supplier Selection (QESS) model is proposed to deal with the supplier selection problems in the e-business(Business to Business: B to B). In the supplier selection, quality management factors will be considered for the first time, and then price, and delivery etc. In the first level, we deal with the quality management factors such as quality management audit, product test, engineering man-power, capability index and training time etc., based on the five point scale. In the second level, a QESS model determines the final solution by considering factors such as price, production lead-time and delivery time.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.858-869
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• 2023

As one of the pivotal techniques of image restoration, single-channel blind source separation (SCBSS) is capable of converting a visual-only image into multi-source images. However, image degradation often results from multiple mixing methods. Therefore, this paper introduces an innovative SCBSS algorithm to effectively separate source images from a composite image in various mixed modes. The cornerstone of this approach is a novel triple generative adversarial network (TriGAN), designed based on dual learning principles. The TriGAN redefines the discriminator's function to optimize the separation process. Extensive experiments have demonstrated the algorithm's capability to distinctly separate source images from a composite image in diverse mixed modes and to facilitate effective image restoration. The effectiveness of the proposed method is quantitatively supported by achieving an average peak signal-to-noise ratio exceeding 30 dB, and the average structural similarity index surpassing 0.95 across multiple datasets.

• JSTS:Journal of Semiconductor Technology and Science
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• 제11권3호
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• pp.135-145
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• 2011

Accurate process characterization and optimization are the first step for a successful advanced process control (APC), and they should be followed by continuous monitoring and control in order to run manufacturing processes most efficiently. In this paper, process characterization and recipe optimization methods with multiple outputs are presented in high density plasma-chemical vapor deposition (HDP-CVD) silicon dioxide deposition process. Five controllable process variables of Top $SiH_4$, Bottom $SiH_4$, $O_2$, Top RF Power, and Bottom RF Power, and two responses of interest, such as deposition rate and uniformity, are simultaneously considered employing both statistical response surface methodology (RSM) and neural networks (NNs) based genetic algorithm (GA). Statistically, two phases of experimental design was performed, and the established statistical models were optimized using performance index (PI). Artificial intelligently, NN process model with two outputs were established, and recipe synthesis was performed employing GA. Statistical RSM offers minimum numbers of experiment to build regression models and response surface models, but the analysis of the data need to satisfy underlying assumption and statistical data analysis capability. NN based-GA does not require any underlying assumption for data modeling; however, the selection of the input data for the model establishment is important for accurate model construction. Both statistical and artificial intelligent methods suggest competitive characterization and optimization results in HDP-CVD $SiO_2$ deposition process, and the NN based-GA method showed 26% uniformity improvement with 36% less $SiH_4$ gas usage yielding 20.8 ${\AA}/sec$ deposition rate.

• 한국산림과학회지
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• 제100권4호
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• pp.672-680
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• 2011

본 연구는 지자체 업무담당자 32명, 산촌생태마을 운영매니저 31명, 전문가 33명, 총 96명을 대상으로 산림청의 산림탄소순환마을 대상지 선정 평가표 개발을 위해 수행하였다. 설문결과분석은 델파이법과 AHP법을 혼합한 DHP분석법을 활용하였다. 산림탄소순환마을 시범사업 선정 평가인자로 1계층 3개 속성, 2계층 10개 속성인자, 3계층 38개 속성세부인자를 선정하였다. 각 속성에 대한 일관성 지수(C.I)를 도출하여 중요도 평가의 기준으로 사용하였다. 1계층의 상대적 중요도가 가장 높은 속성은 인적자원속성(0.454)으로 나타났다. 2계층 속성인자들의 상대적 중요도는 물리적 자원 속성(1계층)에서 산림 Biomass자원 속성인자(0.376), 인적자원속성(1계층)에서 리더역량 속성인자(0.326), 비전속성(1계층)에서 사업계획성 속성인자(0.346)가 상대적으로 높은 중요도를 나타냈다. 3계층 속성세부인자에서는 공동부지의 확보(0.266) 등을 포함한 38개 속성세부인자에 대하여 상대적 중요도를 제시하였다. 상기 도출된 결과를 바탕으로, 산림탄소순환마을 대상지 선정평가 기준표를 작성하였으며, 본 평가표는 2011년부터 산림탄소순환마을 시범 조성마을 선정의 평가기준으로 활용될 예정이다.

• 한국IT서비스학회지
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• 제8권4호
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• pp.17-40
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• 2009

This study is to guide to estimate service quality on ITSM operation based on ITIL(IT Infrastructure Library). ITIL v2 and v3 provide how to integrate framework of IT service and business process. It is widely used as ITSM operation base. As a latest IT trend, ITSM covers Hardware, Software, SaaS, Network, Call center, Helpdesk, ASP portal and IT operation. Servicedesk is selected as target area where valid sampling is addressable and service change is rapid. Traditional Helpdesk was focusing on technical support to solve internal IT issues passively. But it was evolved into Service Desk which focus in process and provide integrated service from customer's business view point preventively and proactively. Accordingly outsourcing types business are normally performed by group of professional capability. Service quality is measured under the SLA(Service Level Agreement). This study utilized SERVQUAL model as service quality measuring tool developed by Parasuraman, Zeitaml and Berry to find critical factors to satisfy customer. And test was processed regarding effectiveness of IT organization and customer view point thru sampling. Though valid parameters can be changed by ITSM areas under the SERVQUAL models, they naturally can be accepted as a index of service quality measurement after sampling test with acceptable significance. And I recommend to follow this study as a preparation before official SLA.

• 벤처창업연구
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• 제13권6호
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• pp.49-62
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• 2018

본 연구는 정부 창업지원정책의 효율성 제고를 위하여 성공가능성이 높은 창업기업 선별을 위한 선정평가지표 개발을 목적으로 진행하였다. 창업기업 선정평가지표 개발을 위해 첫째, 관련 문헌고찰을 통해 평가지표에 대한 이론적 재정립을 하였다. 둘째, 창업생태계의 각 분야 전문가 대상 델파이 기법을 활용하여 주요 평가항목을 도출하였다. 셋째, 항목별 중요도 산정을 위하여 AHP 기법을 적용하여 가중치를 도출하였다. 연구결과를 요약하면 다음과 같다. 첫째, 균형성과표(BSC) 관점에서 창업자 선정평가지표의 적용을 시도하였다. 둘째, 선행연구 고찰을 통한 창업자 역량평가 요인 및 관련 분야의 창업 전문가를 대상으로 의견 수렴과 구조화된 설문의 최종 주요 문항을 도출하였다. 셋째, 도출된 주요 선정평가지표의 가중치 적용결과, 관점별, 대항목인 사업화 관점 > 시장관점 > 기술개발관점 > 조직역량관점 순으로 나타났다. 중항목의 사업화 관점에서는 제품화 역량, 시장관점에서는 시장경쟁력, 기술개발관점에서는 제품 차별성 역량, 조직역량관점에서는 창업자의 역량이 중요하게 인지되었으며, 전반적으로 주요 중항목은 창업자 역량 > 시장경쟁력 > 제품화 역량 > 제품 차별성 순으로 나타났다. 소항목 간의 중요도는 경쟁제품의 비교 우수성이 가장 우선순위가 높았으며, 시장 진입 가능성 > 창업자의 보유역량 > 자본조달능력 > 창업자의 추진 의지 및 열정 순으로 나타났으며 파트너의 보유역량, 구성원의 명확한 역할과 기능적 구성 정도, 협력 관계 정도, 연구개발투자 등이 낮게 나타났다. 이러한 연구결과는 기존 선정평가지표 개발에 관한 선행연구의 개념적 대안 제시 및 향후 정교한 지표개발을 위한 의미 있는 시사점을 제시하였다.

• 벤처창업연구
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• 제6권2호
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• pp.133-147
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• 2011

본 연구에서는 최근 꾸준한 성장세를 보이고 있는 의료산업의 국내벤처기업에 대한 신용 평가를 위해 먼저 기업의 재무 요인과 비재무 요인을 구분하여 평가지표를 개발한 다음 Saaty(1980)의 계층분석과정(Analytic Hierarchy Process; AHP)방법론을 적용하여 각 지표의 중요도(가중치)를 산출함으로써 의료벤처기업의 신용평가모형을 제시한다. 재무요인의 상위지표로는 수익성, 안전성, 활동성, 성장성, 생산성을 선택하였고, 각 상위지표에 대해서는 2개씩의 하위지표를 정하여 모두 10개의 지표를 설정하였다. 또 비재무적 요인의 상위지표로는 경영자 능력, 기술성, 시장성, 사업성, 신뢰성의 5개 영역을 정하고, 각 영역에 대해 2-5개의 하위지표를 정하여 모두 17개의 지표를 설정하였다. 신용평가지표에 대한 평가를 위해 원주의료기기클러스터 내 소재하고 있는 금융기관 및 보증기관의 심사역을 대상으로 설문조사를 한 후 이를 분석하여 평가지표에 대한 가중치를 산출하였다.

• International Journal of Control, Automation, and Systems
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• 제2권4호
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• pp.423-434
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• 2004

In this paper, we introduce a new topology of Self-Organizing Polynomial Neural Networks (SOPNN) based on genetically optimized Multi-Layer Perceptron (MLP) and discuss its comprehensive design methodology involving mechanisms of genetic optimization. Let us recall that the design of the 'conventional' SOPNN uses the extended Group Method of Data Handling (GMDH) technique to exploit polynomials as well as to consider a fixed number of input nodes at polynomial neurons (or nodes) located in each layer. However, this design process does not guarantee that the conventional SOPNN generated through learning results in optimal network architecture. The design procedure applied in the construction of each layer of the SOPNN deals with its structural optimization involving the selection of preferred nodes (or PNs) with specific local characteristics (such as the number of input variables, the order of the polynomials, and input variables) and addresses specific aspects of parametric optimization. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between the approximation and generalization (predictive) abilities of the model. To evaluate the performance of the GA-based SOPNN, the model is experimented using pH neutralization process data as well as sewage treatment process data. A comparative analysis indicates that the proposed SOPNN is the model having higher accuracy as well as more superb predictive capability than other intelligent models presented previously.reviously.