• 제목/요약/키워드: index model

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Kano 모델을 기반으로 한 잠재적 고객만족 개선 지수에 관한 연구 (Development and Application of a Potential Customer Satisfaction Improvement Index based on Kano Model)

  • 임성욱;박영택
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2010년도 춘계학술대회
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    • pp.291-309
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    • 2010
  • Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements(must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was developed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

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Kano 모델을 기반으로 한 잠재적 고객만족 개선지수 (Potential Customer Satisfaction Improvement Index based on Kano Model)

  • 임성욱;박영택
    • 품질경영학회지
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    • 제38권2호
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    • pp.248-260
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    • 2010
  • Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (;must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was proposed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

정보시스템의 이용자만족지수 모형개발 및 측정 (Development and Measurement of User Satisfaction Index Model for Information Systems)

  • 김희섭;박용재
    • 정보관리학회지
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    • 제21권4호
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    • pp.153-171
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    • 2004
  • 정보시스템 효과측정은 시스템 운영과 투자에 대한 가치와 효율을 이해하는데 있어서 매우 중요한 것이며, 이를 위한 방법 중의 하나는 이용자 만족지수 측정이다. 본 연구의 목적은 정보시스템의 이용자만족지수를 측정하기 위한 적정한 모형을 제안하고 개발된 모형을 사용하여 이용자만족지수를 측정하는 것이다. 마케팅 분야와 정보시스템 분야의 대표적인 이론들과 모형들을 근간으로 정보시스템의 이용자만족지수 측정모형을 제안하고 구조방정식 모형 분석을 통해 모형을 검증하였다. 이 모형은 정보품질, 서비스품질, 시스템품질, 이용자만족의 네 가지 기본적인 차원과 이용자충성도와 이용자불평의 두 가지 부가적인 차원으로 구성하였다. 제안된 모형을 사용하여 정보통신부 산하 기관인 정보통신연구진흥원(IITA) 기술정책정보단에서 운영되고 있는 ITFIND의 이용자를 대상으로 이용자만족지수를 직접 측정하였고, 그 결과를 토대로 향후의 시스템 개선을 위한 몇몇 전략 및 방안들을 제시하였다.

Selection of Spatial Regression Model Using Point Pattern Analysis

  • Shin, Hyun Su;Lee, Sang-Kyeong;Lee, Byoungkil
    • 한국측량학회지
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    • 제32권3호
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    • pp.225-231
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    • 2014
  • When a spatial regression model that uses kernel density values as a dependent variable is applied to retail business data, a unique model cannot be selected because kernel density values change following kernel bandwidths. To overcome this problem, this paper suggests how to use the point pattern analysis, especially the L-index to select a unique spatial regression model. In this study, kernel density values of retail business are computed by the bandwidth, the distance of the maximum L-index and used as the dependent variable of spatial regression model. To test this procedure, we apply it to meeting room business data in Seoul, Korea. As a result, a spatial error model (SEM) is selected between two popular spatial regression models, a spatial lag model and a spatial error model. Also, a unique SEM based on the real distribution of retail business is selected. We confirm that there is a trade-off between the goodness of fit of the SEM and the real distribution of meeting room business over the bandwidth of maximum L-index.

Rapid Prototyping 모델을 이용한 골삭제을 위한 외과적 지표;섬유성 골이형성증 치료를 위한 기술적 제안 (SURGICAL INDEX FOR BONE SHAVING USING RAPID PROTOTYPING MODEL;TECHNICAL PROPOSAL FOR TREATMENT OF FIBROUS DYSPLASIA)

  • 김운규
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제23권4호
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    • pp.366-375
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    • 2001
  • Bone shaving for surgical correction is general method in facial asymmetrical patient with fibrous dysplasia. Therefore, decision of bone shaving amount on the preoperative planning is very difficult for improvement of ideal occlusal relationship and harmonious face. Preoperative planning of facial asymmetry with fibrous dysplasia is generally confirmed by the simulation surgery based on evaluation of clinical examination, radiographic analysis and analysis of facial study model. However, the accurate postoperative results can not be predicted by this method. By using the computed tomography based RP(rapid prototyping) model, simulation of facial skeleton can be duplicated and 3-dimensional simmulation surgery can be perfomed. After fabrication of postoperative study model by preoperactive bone shaving, preoperative and postoperactive surgical index was made by omnivaccum and clear acrylic resin. Amount of bone shaving is confirmed by superimposition of surgical index at the operation. We performed the surgical correction of facial asymmetry patients with fibrous dysplasia using surgical index and prototyping model and obtained the favorable results.

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도로자산관리를 위한 포장종합평가지수의 속성과 변화과정의 모델링 (Internal Property and Stochastic Deterioration Modeling of Total Pavement Condition Index for Transportation Asset Management)

  • 한대석;도명식;김부일
    • 한국도로학회논문집
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    • 제19권5호
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    • pp.1-11
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    • 2017
  • PURPOSES : This study is aimed at development of a stochastic pavement deterioration forecasting model using National Highway Pavement Condition Index (NHPCI) to support infrastructure asset management. Using this model, the deterioration process regarding life expectancy, deterioration speed change, and reliability were estimated. METHODS : Eight years of Long-Term Pavement Performance (LTPP) data fused with traffic loads (Equivalent Single Axle Loads; ESAL) and structural capacity (Structural Number of Pavement; SNP) were used for the deterioration modeling. As an ideal stochastic model for asset management, Bayesian Markov multi-state exponential hazard model was introduced. RESULTS:The interval of NHPCI was empirically distributed from 8 to 2, and the estimation functions of individual condition indices (crack, rutting, and IRI) in conjunction with the NHPCI index were suggested. The derived deterioration curve shows that life expectancies for the preventive maintenance level was 8.34 years. The general life expectancy was 12.77 years and located in the statistical interval of 11.10-15.58 years at a 95.5% reliability level. CONCLUSIONS : This study originates and contributes to suggesting a simple way to develop a pavement deterioration model using the total condition index that considers road user satisfaction. A definition for level of service system and the corresponding life expectancies are useful for building long-term maintenance plan, especially in Life Cycle Cost Analysis (LCCA) work.

Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction

  • Yu, Yeonguk;Kim, Yoon-Joong
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1231-1242
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    • 2019
  • This paper presents a two-dimensional attention-based long short-memory (2D-ALSTM) model for stock index prediction, incorporating input attention and temporal attention mechanisms for weighting of important stocks and important time steps, respectively. The proposed model is designed to overcome the long-term dependency, stock selection, and stock volatility delay problems that negatively affect existing models. The 2D-ALSTM model is validated in a comparative experiment involving the two attention-based models multi-input LSTM (MI-LSTM) and dual-stage attention-based recurrent neural network (DARNN), with real stock data being used for training and evaluation. The model achieves superior performance compared to MI-LSTM and DARNN for stock index prediction on a KOSPI100 dataset.

KWRF를 활용한 한반도 착빙 지수 특성 분석 (The Analysis of the characteristics of Korean peninsula Aircraft Icing Index using KWRF)

  • 김영철
    • 한국항공운항학회지
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    • 제18권3호
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    • pp.42-54
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    • 2010
  • The purpose of this study is to analyze the aircraft icing index of Korean peninsula using the numerical weather prediction model, KWRF and pilot weather report data. As comparing the pilot weather report data with the calculated icing index using the KWRF model result, SCLW, RAP, and AFGWC index are more useful than any other index, and IC2, NAWAU, and RSID index are different case by case. But IC1, SID1 and SID2 index show that these overestimated severe icing in every vertical level. Through this icing study, it is expected that this study will help to develop the proper icing index of Korean peninsula.

치아 기준의 악교정 수술용 석고모형 수술, 과연 가능하고 정확한가 (Development of New Orthognathic Model Surgery Technique Based on the Reference Points onto the Teeth and the Use of Occlusal Index)

  • 이승훈;오성섭;이충국;박경란;이상휘
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제33권2호
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    • pp.128-136
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    • 2011
  • Purpose: Errors in orthognathic model surgery occur during the planning, measuring and/or moving of the models. However, there has been little effort to find ways to reduce these errors. In this study, we introduce a new orthognathic model surgery technique (Yonsei method) which adopts the tooth point as the reference and the occlusal index as a moving vehicle for the model. Methods: The technique consists mainly of: 1) measuring the three-dimensional lengths of model points, 2) fabricating and moving the occlusal index and 3) verifying the movement. Then we compared the accuracy of the Yonsei method to conventional methods, with special reference made to influencing factors. Results: Errors for the Yonsei method with the occlusal index were reduced to the range of 0.61~1.04 mm in three-dimension, providing a more accurate model surgery technique than conventional methods which have errors ranging from 0.77~3.11 mm. Conclusion: It provided us a more accurate model surgery technique based on the reference points onto the teeth and the use of occlusal index.

중소기업 경기예측 모형 및 지수에 관한 연구 (A Study on Small Business Forecasting Models and Indexes)

  • 윤여창;이성덕;성재현
    • 응용통계연구
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    • 제28권1호
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    • pp.103-114
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    • 2015
  • 경제의 새로운 성장요인으로 중소기업의 역할이 부각됨에 따라 중소기업의 경기를 적절히 파악할 수 있는 지표 개발의 필요성이 증대되고 있다. 현재 여러 기관에서 발표하는 중소기업 경기와 관련된 지표들은 대부분 BSI(Business survey index)에 기초하고 있고 주관적 지표에 의존하고 있어 정확한 경기 상황을 충분히 반영한다고 볼 수 없다. 본 연구에서 제시한 새로운 경기지표는 주성분 분석과 가중치 방법으로 통계청의 기준순환 일에 의한 경기 국면을 적절히 반영하고 있다. 제안된 새로운 경기지수는 경기종합지수와 유사한 추세를 보이면서 통계학적 이론에 충실한 지표임을 실증사례 연구로부터 입증한다.