• Title/Summary/Keyword: IMPROVE model

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A Conceptual Model to Stratify Customers to Improve Customer Profitability: Diamond Model

  • Kim, Youn-Sung;Lee, Dong-Won
    • International Journal of Quality Innovation
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    • v.9 no.1
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    • pp.181-187
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    • 2008
  • Every company tries to know who the best and idealistic customers are and how to identify them by use of the special methods. To solve this problem the diamond model of customer stratification, which is the conceptual model, is introduced in this research. We modified the customer stratification model developed by Narayanan et al. (2007). By use of this model we can find out the most profitable customers and then we can plan to improve the profitability of the rest customer groups.

A study on the Inventing Service Process Development Model (MAVIC) Based on SERVQUAL (SERVQUAL을 기반으로 한 서비스 프로세스 개선 모델(MAVIC) 개발에 관한 연구)

  • Ree, Sang-Bok;Kim, Su-Yen
    • IE interfaces
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    • v.20 no.3
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    • pp.315-326
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    • 2007
  • The service industry is becoming greater importance in the current economy. The service quality has become an important competitive factor in service industry. Until now, 6 sigma method has well accomplished in manufacturing industry. 6 sigma method has been applied to the service industry to improve service quality, but it has not been reported that 6 sigma method is a successful method for service industry to improve service quality. In this paper, we suggest a MAVIC model to improve service quality. It is a model which is combined with advantages of a SERVQUAL model and 6 sigma method. We has proved its effect with applying a MAVIC model to real service techniques.

Reference Model and Architecture of Interactive Cognitive Health Advisor based on Evolutional Cyber-physical Systems

  • Lee, KangYoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.8
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    • pp.4270-4284
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    • 2019
  • This study presents a reference model (RM) and the architecture of a cognitive health advisor (CHA) that integrates information with ambient intelligence. By controlling the information using the CHA platform, the reference model can provide various ambient intelligent solutions to a user. Herein, a novel approach to a CHA RM based on evolutional cyber-physical systems is proposed. The objective of the CHA RM is to improve personal health by managing data integration from many devices as well as conduct a new feedback cycle, which includes training and consulting to improve quality of life. The RM can provide an overview of the basis for implementing concrete software architectures. The proposed RM provides a standardized clarification for developers and service designers in the design and implementation process. The CHA RM provides a new approach to developing a digital healthcare model that includes integrated systems, subsystems, and components. New features for chatbots and feedback functions set the position of the conversational interface system to improve human health by integrating information, analytics, and decisions and feedback as an advisor on the CHA platform.

N- gram Adaptation Using Information Retrieval and Dynamic Interpolation Coefficient (정보검색 기법과 동적 보간 계수를 이용한 N-gram 언어모델의 적응)

  • Choi Joon Ki;Oh Yung-Hwan
    • MALSORI
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    • no.56
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    • pp.207-223
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    • 2005
  • The goal of language model adaptation is to improve the background language model with a relatively small adaptation corpus. This study presents a language model adaptation technique where additional text data for the adaptation do not exist. We propose the information retrieval (IR) technique with N-gram language modeling to collect the adaptation corpus from baseline text data. We also propose to use a dynamic language model interpolation coefficient to combine the background language model and the adapted language model. The interpolation coefficient is estimated from the word hypotheses obtained by segmenting the input speech data reserved for held-out validation data. This allows the final adapted model to improve the performance of the background model consistently The proposed approach reduces the word error rate by $13.6\%$ relative to baseline 4-gram for two-hour broadcast news speech recognition.

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Research on the Tracking Algorithm applied by Active Contour Models (Active Contour Model을 응용한 추적 알고리즘에 관한 연구)

  • 장재혁;한성현;이만형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.295-298
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    • 1995
  • We performed a research to improve the performance of active bar model which is used in tracking algorithm. Active bar model is a simplified model of snake model. If we used the sctive bar model, the numerical procedure for real time tracking problem can be carried out faster than snake model. However the demerit of active bar algorithms is that we can't used the provious image data because each time it has to reconstruct the active bar. In this paper we proposed advanced algorithm for active bar model. The proposed model can improve tracking abilities by preserving the active bar during the process and changing the energy functional.

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Intelligent System Predictor using Virtual Neural Predictive Model

  • 박상민
    • Proceedings of the Korea Society for Simulation Conference
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    • 1998.03a
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    • pp.101-105
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    • 1998
  • A large system predictor, which can perform prediction of sales trend in a huge number of distribution centers, is presented using neural predictive model. There are 20,000 number of distribution centers, and each distribution center need to forecast future demand in order to establish a reasonable inventory policy. Therefore, the number of forecasting models corresponds to the number of distribution centers, which is not possible to estimate that kind of huge number of accurate models in ERP (Enterprise Resource Planning)module. Multilayer neural net as universal approximation is employed for fitting the prediction model. In order to improve prediction accuracy, a sequential simulation procedure is performed to get appropriate network structure and also to improve forecasting accuracy. The proposed simulation procedure includes neural structure identification and virtual predictive model generation. The predictive model generation consists of generating virtual signals and estimating predictive model. The virtual predictive model plays a key role in tuning the real model by absorbing the real model errors. The complement approach, based on real and virtual model, could forecast the future demands of various distribution centers.

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A Study on Construction Model of Planning and Establishment of Countermeasure in QCC Improve Activities (분임조활동의 대책수립 및 실시 방법에 관한 연구)

  • Kang, Won;Kang, Sung-Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.1
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    • pp.51-58
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    • 2010
  • In QCC improve activities QC story is useful for solving problems. Among those the planning and establishment of countermeasure step is most important in finding new alternatives and methods for problem solving. But that step is dealt with indifferent to problem solving occasionally, so it makes difficult to find those. In this paper we suggest an effective construction model of planning and establishment of countermeasure in QCC improve activities.

Improvement of the Automobile Control Software Testing Process Using a Test Maturity Model

  • Jang, Jin-Wook
    • Journal of Information Processing Systems
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    • v.14 no.3
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    • pp.607-620
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    • 2018
  • The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

Investigation of Flow Distribution Characteristics at the Channel Location according to the Header Shape of Welded Plate Heat Exchanger (용접식 판형열교환기 헤더형상에 따른 채널 위치별 유량 분배 특성 고찰)

  • Ham, Jeonggyun;Kim, Eui;An, Sungkook;Cho, Honghyun
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.15 no.3
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    • pp.7-13
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    • 2019
  • To improve the flow distribution at channel locations in the welded plate heat exchanger with "L"-type inflow, the flow visualization of Model 1 was carried out. Besides, the characteristics of flow distribution was investigated experimentally according to the header shape. The inlet flow rate for each channel location was increased at the side channels but decreased at the central channels. In the case of Model 2, which has a slant structure added to the basic header of Model 1, the unevenness of inlet flow increased by 23% from 0.019 to 0.023 as compared to Model 1. On the other hand, Model 3, which has a baffle structure added to Model 2, showed 0.064 unevenness in inlet flow, which was a 36% reduction one compared to Model 1. To improve the distribution at each channel in the welded plate heat exchanger with "L"-type flow, it is necessary to improve the header external shape for the guide of flow as well as the baffle structure for reduction of vortex flow.

Credit Management Method to Improve Credit Rating (신용등급 향상을 위한 신용관리 방법)

  • Lee, Sangwon;Kwon, Young Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.319-320
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    • 2013
  • In these days, an individual is evaluated by his or her credit. So, it is very critical for an individual to know his or her credit rating and then to try to improve the credit rating. But, there are few services to analyze credit status for an individual and inform the person of the credit. In fact, it could be impossible to let a person know how to improve his or her credit rating. Against this backdrop, we research on a credit management model to analyze credit status of an individual rapidly and propose individual-customized method to improve the credit rating. We set up the model and design it in detail. This servie would certainly make it convenient for an individual to retrieve credit rating and improve it.

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