고객 클러스터링 기법을 활용한 할당규칙의 시뮬레이션 연구
A Simulation Study on Dispatching Rule Using Customer Clustering Method
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Abstract
The potential needs as well as visible needs of customer should be considered in order to research and analyze of the customer data. The methods to analyze customer data is classified into customer segmentation, clustering analysis model, forecasting customer response probability model, analysis of the customer break rate model and new customer analysis model by the purpose. In this study, we developed the CW-CLV (Correlation Weight Customer Lifetime Value)method that used AHP(Analytic Hierarchy Process)rule for enhance the reliability of customer data and quantitative analysis of the customer segmentation, based on CLV(Customer Lifetime Value). We suggest to new variables and methodology from determined CW-CLV coefficients, because all of companies respect to the diversified customers classification and complexity of consumers needs. Finally, we unfolded any company's scheduling added new methodology using simulation and leaded conclusion about the new methodology.
참고문헌 (10)
- "고객생애가치를 이용한 납 기확약 모델 구현에 관한 연구", 4(2), pp.71~82 (2002)
- "가능납기 산정을 위한 ATP 알고리즘 연구", 3(4), pp.181~191 (2001)
- "가중혼합 할당규칙에 의한 묘듈생산시스템 스케쥴링" (2003)
- "고객 요구 집단에 의한 일 정계획 수립에 관한 연구", pp.221~226 (2002)
- "계층과정분석을 활용한 고객생애 가치 가중치 결정에 관한 연구", 4(3), pp.131~140 (2002)
- "CRM을 위한 데이터베이스 마케팅" (2001), 다산출판사
- "Incomplete pairwise comparisons in the analytic hierarchy process", 9(11), pp.837~848 (1987)
- "Theory of Ratio Scale Estimation", 33, pp.1383~1403 (1987)
- "Manage Marketing by Customer Equity Test", 74(4), pp.136~145 (1996)
- "Manage Marketing by Customer Equity Test", 74(4), pp.136~145 (1996)