• Title/Summary/Keyword: 고객관계관리(CRM)

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Design of Advanced Planning System for Supply Chain Management Supporting ATP(Available To Promise) (납기 회답 지원 SCM을 위한 생산 계획 모델의 설계(조립/가공 산업 중심))

  • Bae Joonsoo;Han Jake
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.371-377
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    • 2002
  • 근래 정보 시스템의 흐름은 생산 분야의 관리뿐만 아니라, 고객과의 관계를 중시하는 CRM(Costumer Relation Management)과 공급업체와의 협업 관계를 유지하는 eProcurement시스템에 초점을 맞추고 있다. 즉, 기존에는 단위 생산 시스템의 관리에 중점을 두었지만 최근에는 그 외부 요소들에 대한 관리의 중요성을 인식하게 되었고 이를 통징하여 공급망 관리(SCM Supply Chain Management)라고 한다. 본 논문에서는 공급망 관리에서 필요한 생산 계획수립 문제에 대해서 살펴본다. 특히 고객과의 관계에서 중요한 기능인 납기 회답을 지원하는 생산 계획 수립의 실행 주기에 대해서 살펴본다. 첫째, 단위 생산 시스템에서 사용하는 작업지시(Work Order)와 구매 지시(Purchase Order)를 생성하는 정규계획 모델에 대해서 설명한다. 정규계획 모델에서 필요로 하는 정적 정보와 동적 정보의 수집 및 계획의 실행을 담당하는 ERP 시스템과의 관계에 대해서 정의하고 정규계획 모델의 운영 주기를 정의한다. 둘째, 정규계획 모델과 상호 협조하면서 납기 회답을 지원하는 납기회답 모델의 설계에 대해서 살펴본다. 정규계획 모델과 달라지는 입력 부분의 정의와 정규계획 모델과의 상호 관계를 정의한다. 다음으로, 정해진 납기를 지키기 위해서 정규계획 모델에서 고려래야 하는 요소에 대해서 알아본다. 가장 중요한 것으로 작업 부하와 생산 용량을 고려한 계획 일자(PST)와 고객 납기와 제조 공정 LT를 고려한 계획 일자(LPST)중 최소값을 원자재의 납기 일자로 사용하는 것을 제안한다. 동시에 신규 구매 지시 계획을 생성하기보다는 기존에 발생된 구매 지시의 우선적 사용과 기존 구매 지시의 납기 일자를 고객 납기에 가장 잘 맞출 수 있도록 변경하는 방안을 제시한다. 이렇게 함으로써 최대한 고객 납기를 만족하도록 계획을 수립할 수 있게 된다. 본 논문에서 제시하는 계획 모델을 사용함으로써 고객 주문에 대한 대응력을 높일 수 있고, 계획의 투명성으로 인한 전체 공급망의Bullwhip effect를 감소시킬 수 있는 장점이 있다. 동시에 이것은 향후 e-Business 시스템 구축을 위한 기본 인프라 역할을 수행할 수 있게 된다.

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Effective R & D Management using Data Mining Classification Techniques (데이터마이닝 분류기법을 이용한 효과적인 연구관리에 관한 연구)

  • 황석해;문태수;이준한
    • Journal of Information Technology Application
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    • v.3 no.2
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    • pp.1-24
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    • 2001
  • This purpose of this study is to drive important criteria for improving customer relationship of R institute using data mining techniques. The focus of this research is to consider patterns and interactions of research variables from research management database of R institute, and to classify the outside organizations and the inside organizations for research contract organizations, and to decide the directions of customer relationship management through analyzing the research type and research cost of research topics. In order to drive criteria variables through pattern analysis of the research database, decision tree algorithm is employed. The results show that determinant variables of 17 input variables are research period, overhead cost, R & D cost as variables to classify the outside and inside contract organization.

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기획특집(3) - 사무기기 산업의 현재와 미래 - 인쇄업계의 수익사업 총아로 떠오른 디지털 인쇄 - 인쇄시장에서의 디지털 인쇄 동향

  • Kim, Yong-Seok
    • The Optical Journal
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    • s.128
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    • pp.25-27
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    • 2010
  • 디지털 인쇄는 다품종 소량 인쇄가 가능하고, 원하는 시기에 필요한 만큼만 출력할 수 있어 재고 및 폐기 처리가 줄어든다는 장점과 함께 내용 수정이 바로 가능하다는 점에서 옵셋 인쇄가 수행하지 못했던 만족시키면서 새로운 시장을 형성해 나가고 있다. "필요한 수량, 필요한 시간, 필요한 장소에 맞추어 인쇄한다"라는 POD(Print On Demand 주문형 인쇄) 컨셉에서 시작된 디지털인쇄는 CRM(고객관계관리) 기법의 실행 단계로서 1:1(One to One) DM, TransPromo(트랜스프로모) 등으로 점점 영역을 확장해 나가고 있다.

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A Study on the Development of Electronic Mail-based Customer Relationship Management System (전자메일 기반의 고객관계관리(CRM) 시스템 개발에 관한 연구)

  • 김승욱;양광민
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.51-63
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    • 2003
  • This study designs and implements a new approach to the classification of e-mail requests from customer based on machine learning techniques. The work on building an electronic mall classifier can be cast into the framework of text classification, since an e-mail is a viewed as a document, and judgement of interest is viewed as a class level given to the e-mail document. It is also implemented an e-mall based automated response system that integrate with Call Center in a practical use.

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SCM system design and implementation on Web Services base (웹서비스기반의 공급망관리시스템 설계 및 구현)

  • Kim, Yong-Yeol;Kim, Tae-Hoon;Lim, Keun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2008.06a
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    • pp.285-289
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    • 2008
  • 본 연구는 급격한 인터넷 환경의 발전으로 인하여 치열한 경쟁 환경 속에서 공급망 관리(SCM)와 고객 관계 관리(CRM)를 적용한 물류관리 시스템과 온라인 판매 시스템을 효과적으로 통합하여 웹2.0(플렉스)기반 시스템으로 구현하여 다른 어플리케이션과의 UI와 성능, 보안성, 실시간처리 및 시스템에 차별화하여 중점을 두고 프로토타입으로 구현해보았다.

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Customer Lifetime Value Model Using Segment-Based Survival Analysis (고객 세분화에 기반한 생존분석을 활용한 고객수명 예측 모델)

  • Chun, Heui-Ju
    • Communications for Statistical Applications and Methods
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    • v.18 no.6
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    • pp.687-696
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    • 2011
  • Customer Lifetime or Customer Lifetime Value is a essential metric of differentiated CRM marketing and differentiated marketing strategy as a company core competency. However, customer lifetime used in companies is easily obtained from a confined simple customer attrition rate at some specific time point regardless of customer characteristics. In this study, in order to overcome the constraints of previous simple methods and to make practical use of it in industries, we suggest a method that estimates a customer lifetime using a customer segment based survival analysis with the censored data of customers; in addition, we apply this method to A mobile telecom company data. A method using customer segment based survival analysis is suggested in this study 1) includes all customers having different subscription dates, 2) reduces individual error, 3) can reflect trends after the observed time point and is more realistic.

A Electronic Intergovernmental Relations(e-IGR) between the Central Government of Korea and the Seoul Metropolitan Government (고객관계관리 (CRM)의 주요성공요인과 성과간의 관련성 연구)

  • Go, Chang-Bae;Yun, Jong-Su;Lee, Yeong-Sik;Jo, Jae-Wan;Cha, Dae-Gyu
    • 한국디지털정책학회:학술대회논문집
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    • 2004.05a
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    • pp.369-382
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    • 2004
  • This study is to analyze the relationships between critical success factors of customer relationship management and performance of customer relationship management. To accomplish this purpose, this study performed an empirical analysis of 206 domestic companies which have introduced customer relationship management applications. The result of the study shows that most organizational factors except evaluation and compensation factor have a positively significant effect on the performance of customer relationship management, and that ease of system use and level of system integration influence on the performance of customer relationship management positively.

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Real-time CRM Strategy of Big Data and Smart Offering System: KB Kookmin Card Case (KB국민카드의 빅데이터를 활용한 실시간 CRM 전략: 스마트 오퍼링 시스템)

  • Choi, Jaewon;Sohn, Bongjin;Lim, Hyuna
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.1-23
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    • 2019
  • Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

Multichannel Shopping and Customer Satisfaction: The Role of Shopping Experience and Customer-Firm Relationship Characteristics (다채널 쇼핑과 고객만족: 쇼핑경험과 고객-기업 관계특성의 역할)

  • Joo, Young-Hyuck
    • Journal of Distribution Research
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    • v.15 no.4
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    • pp.21-60
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    • 2010
  • In recent retail environments, multichannel customer management increasingly has been considered a key element of successful CRM. Although customer's multichannel usage is believed to be potential cause of customer loyalty, the theoretical explanation about this causal relationship still remains unexamined and unanswered. In this paper, the authors present a systematic framework to test the postulated "multichannel usage-shopping experience-customer satisfaction" chain. To this end, we examine that the two core components of shopping experience(convenience and enjoyment) is a mediator of the direct causality of multichannel usage(based on both information search and product purchase stage) on customer satisfaction. Moreover, the authors examine that two types of customer-firm relationship characteristics(relationship age and purchase frequency) is a moderator of the multichannel usage-shopping experience relationship. Using integrating data with survey and customer database of multichannel retail company, the authors empirically test and substantiate shopping experience's mediating role in the multichannel usage-customer satisfaction relationship and customer-firm relationship characteristics' moderating role in the multichannel usage-customer experience relationship. These results suggest that multichannel retailers should deliver favorable shopping experience for building customer satisfaction and differentiate shopping experience according to customer-firm relationship characteristics.

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A Study on life satisfaction and psychological well-being of the customer in the food service industry for internet marketing (인터넷 마케팅을 위한 외식업체 이용고객의 생활만족과 심리적 웰빙에 관한 연구)

  • Kwon, Kum-Tack;Jang, Byeong-Ju
    • Management & Information Systems Review
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    • v.31 no.3
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    • pp.1-19
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    • 2012
  • This study is the research about the internet marketing strategy and the impact factors of psychological well-being of customers of restaurants. For the purpose of study, firstly, the paper was carried out in order to verify the cause and effect relationships of life satisfaction and psychological well-being of the customers in the food service industry. The customers of restaurants in Busan are the objectives for which the survey for empirical analysis was conducted. The result of the testing of hypothesis showed that life satisfaction will have positive influences on psychological well-being, it reveals that life satisfaction has positive influences on three factors of psychological well-being such as personal growth, self acceptance, independence. However, factor of autonomy is rejected. Secondly, the results of the study suggest the importance of introducing variegated internet marketing programs and deciding the appropriate information contents for the customer to activate the use of hands on restaurants. Internet information contents on customer satisfaction and customer loyalty to have a good understanding of the attitude will improve of life satisfaction and psychological well-being of the customers. Strategic information contents of internet marketing for customers of the restaurants must be consider "CRM(customer relationship management)".

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