• 제목/요약/키워드: Customer Network

검색결과 737건 처리시간 0.024초

초고속정보통신을 위한 댁내통신설비 기술표준화 연구 (Study on the Standardization of Customer Premise Facilities in High-speed Information Telecommunication Network)

  • 이영환;조평동
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 통신소사이어티 추계학술대회논문집
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    • pp.361-364
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    • 2003
  • The customer premise facilities assume an important role in the telecommunication networks. The present technical standards for domestic customer cabling facilities are established with the multimedia environment reflected, but are insufficient for accommodation of multimedia services of the ultra high-speed information and communication networks In the present paper, the status of international standardization as well as technical standards in the U.S.A., Japan, other countries are reviewed and the domestic technical standard and emblem is investigated and analyzed in order to enhance customer cabling facilities in Korea. The problems with emblem are analyzed, and how to improve customer cabling telecommunication facilities is suggested based on the above.

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고객가치 극대화를 위한 전자상거래 구매의사결정 요인에 관한 연구 (Constructing the Purchasing Decision-making Factors to Maximize Customer Value on the Electronic Commerce)

  • 이현규;박영식
    • 한국정보시스템학회지:정보시스템연구
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    • 제15권1호
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    • pp.121-144
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    • 2006
  • For constructing the purchasing decision-making model to maximize customer value on the electronic commerce, Means-Ends Network model was used for identifying means and fundamental objectives and their relationships were analyzed by the structural equation. A questionnaire survey of 481 customers in their internet shopping experiences was conducted to extract valid means and fundamental objectives' factors. As a result, 6 means objectives shopping travel, shipping errors, vendor trust, online payment, product choice, and recommender systems and 3 fundamental objectives-shopping convenience, internet ecology, and customer support were founded. Using these 9 factors, structural equation was analyzed 4 times to ensure statistical validities and to establish new interrelationships among them. The results showed that fundamental objectives are affected by the strong relationships within means objectives. This interrelationship with mens and fundamental objectives is interpreted as the purchasing decision-making model to maximize customer value on the electronic commerce in this paper.

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물류망 설계 및 계획을 위한 컴퓨터 시뮬레이터의 개발 (Development of a Logistics Network Simulator)

  • 박양병
    • 산업공학
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    • 제14권1호
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    • pp.30-38
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    • 2001
  • Logistics network management has become one of the most important sources of competitive advantage regarding logistics cost and customer service in numerous business segments. Logistics network simulation is a powerful analysis method for designing and planning the logistics network optimally in an integrated way. This paper introduces a logistics network simulator, LONSIM, developed by author. LONSIM deploys a mix of simulation and optimization functions to model and analysis logistics network issues such as facility location, inventory policy, manufacturing policy, transportation mode, warehouse assignment, supplier assignment, order processing priority rule, and vehicle routes. LONSIM is built with AweSim 2.1 and Visual Basic 6.0, and executed in windows environment.

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통신 상품별 VOC 영향 요인과 학습곡선에 관한 연구 (A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services)

  • 정소기;차경천
    • 한국통신학회논문지
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    • 제39B권8호
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    • pp.518-527
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    • 2014
  • 본 연구는 유선통신 서비스 상품별 고객 불만(Voice of Customer) 감소에 따른 학습곡선을 추정 하고자 한다. 학습곡선모형 중 가장 일반적인 지수감소모형(Exponential decay model)을 사용하여 시간에 따라 고객 불만(VOC)이 감소하는지를 검증하였다. 그리고 통신사들의 서비스 상품의 인력투입, 소프트웨어 적용, 투자 등의 노력에 따른 고객 불만(VOC) 변화효과를 추가로 검증하였다. 서비스 상품별 실증 분석의 결과는 다음과 같다. 첫째, 학습곡선대로 시간에 따라 고객 불만(VOC)이 감소하였다. 둘째, 초고속 인터넷, 전화, IPTV 등은 인력투입, Network 장애, 계절요인으로 인해 고객 불만(VOC)을 증가 시키거나 감소 시켰다. 셋째, 서비스 상품별 다양한 변수는 고객의 체감 품질을 높이고 있지만, 오히려 지속적으로 감소하지 않는 서비스 패러독스(Service Paradox)현상이 발생하는 것을 알 수 있었다.

추천시스템을 위한 k-means 기법과 베이시안 네트워크를 이용한 가중치 선호도 군집 방법 (Clustering Method of Weighted Preference Using K-means Algorithm and Bayesian Network for Recommender System)

  • 박화범;조영성;고형화
    • Journal of Information Technology Applications and Management
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    • 제20권3_spc호
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    • pp.219-230
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    • 2013
  • Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

Supply Chain Network 구성요소들의 양방향 선호도를 고려한 생산/분배 통합 모형 (Mutual Preferences based Design for Coordinated Production and Distribution on Supply Chain Network)

  • 정병희;최정일
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.734-741
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    • 2002
  • The importance of efficient Supply Chain Management is increasing in accordance with recent industrial environment, such as globalization of business, complexity and diversity of company's management structure, and variety of customer's demand. In a rapidly changed environment of business, quick and efficient decision making is the important matter to the survival of the company. The purpose of this study supports decision making for efficient supply chain management. In this study, we consider simultaneously and mutually reflecting the preference of each constituent (Supplier, Manufacturing plant, Distribution center, Customer) on supply chain network, and decide company's strategic choice and coordinated production/distribution models of company. The Analytical Hierarchy Process is used for decision making of qualitative and quantitative elements. We use the results of AHP as inputs and propose mathematical models thru Mixed Integer Programming.

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Customer Activity Recognition System using Image Processing

  • Waqas, Maria;Nasir, Mauizah;Samdani, Adeel Hussain;Naz, Habiba;Tanveer, Maheen
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.63-66
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    • 2021
  • The technological advancement in computer vision has made system like grab-and-go grocery a reality. Now all the shoppers have to do now is to walk in grab the items and go out without having to wait in the long queues. This paper presents an intelligent retail environment system that is capable of monitoring and tracking customer's activity during shopping based on their interaction with the shelf. It aims to develop a system that is low cost, easy to mount and exhibit adequate performance in real environment.

무선망 환경에 따른 N스크린의 서비스품질과 시스템품질이 고객만족과 지속이용의도에 미치는 영향 (The Effects of Service Quality and System Quality on Customer's Satisfaction and Continued Usage Intention of N-Screen Service Regarding Mobile Network Condition)

  • 박창묵;김동우;이창형;김광호
    • 디지털콘텐츠학회 논문지
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    • 제14권2호
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    • pp.223-233
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    • 2013
  • 본 논문은 무선망 환경에서의 서비스품질과 시스템품질이 고객만족과 지속이용의도에 미치는 영향에 대해 살펴보았다. 기존의 DMB와 IPTV 논문에서 다루어진 서비스품질(반응성, 공감성) 및 시스템품질(접속성, 사용용이성, 채널이동성)의 요인들을 차용하여 가설을 설정하고 연구모형을 완성하였으며, 실험연구 및 설문조사를 통해 이를 증명하고자 하였다. 그 결과, 3G망보다 와이파이망 이용자들의 서비스품질과 시스템품질에 대한 기대치가 높게 나타났으며 전송속도와 같은 시스템품질 보다는 서비스품질에 대해 더 민감하게 반응함을 알 수 있었다. 본 논문은 기존 DMB와 IPTV 논문에서 다루어진 요인들을 N스크린 영역에 적용하여 연구영역을 확장하고 이해도를 높였다는 데 의의가 있다.

데이타마이닝을 이용(利用)한 CRM 사례연구(事例硏究) - A 패션기업(企業)을 중심(中心)으로 - (A CRM Study on the Using of Data Mining - Focusing on the "A" Fashion Company -)

  • 이유순
    • 패션비즈니스
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    • 제6권5호
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    • pp.136-150
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    • 2002
  • In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

인천항의 서비스품질이 고객만족과 경영성과에 미치는 영향 (A Study on the Effects of the Port Service Quality on Customer Satisfaction and Performance in Incheon Port)

  • 김수만;최해섭;김연성;유홍성;유석천;김서영
    • 품질경영학회지
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    • 제40권4호
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    • pp.543-558
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    • 2012
  • Purpose: The purpose of this study was to propose useful suggestions by analyzing causal effect relationship between port service quality, and customer satisfaction and performance in port industry. Methods: The collected data through the survey were analyzed using multi-regression analysis. The measurement tools used for this study were divided into three dimensions such as internal quality, interaction quality and environmental quality. Results: The results of this study are as follows; regarding the influence of pot service quality dimension on customer satisfaction, it was found that the effects of interaction quality and internal quality were significant and those of environmental quality was not significant on customer satisfaction. It was found that customer satisfaction made statistically significant influence on performance from the investigation of the causal effect relationship between customer satisfaction and performance. Conclusion: Incheon Port needs to act actively paying attention to port facilities, efficient operation, network, cargo recruitment activities, smooth communication and fast handling.