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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self?organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.
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      One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this rese...

      One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self?organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

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      참고문헌 (Reference)

      1 김신영, "군집화 기법을 이용한 B2B Marketplace 상의 최적 파트너 검색 시스템" 575-579, 2003

      2 Bloom, J. Z., "Tourist market segmentation with linear and nonlinear techniques" 25 : 723-733, 2004

      3 Schwartzkopf, A. B., "Top‐down vs. bottom‐up forecasting strategies" 26 : 1833-1843, 1988

      4 Dangerfield, B. J., "Top‐down or bottom‐up : aggregate versus disaggregate extrapolations" 8 : 233-241, 1992

      5 Curry, B., "The Kohonen self‐organizing map as an alternative to cluster analysis : An application to direct marketing" 45 : 191-211, 2003

      6 Kohonen, T., "Self‐Organizing Maps" Springer 1995

      7 Vellido, A., "Segmentation of the on‐line shopping market using neural networks" 17 : 303-314, 1999

      8 Shin, H. W., "Segmentation of stock trading customers according to potential value" 27 : 27-33, 2004

      9 방정혜, "Rethinking of Self-Organizing Maps for Market Segmentation in Customer Relationship Management" 한국지능정보시스템학회 13 (13): 17-34, 2007

      10 Huang, C. Y., "Multiple generation product life cycle predictions using a novel two‐stage fuzzy piecewise regression analysis method" 75 : 12-31, 2008

      1 김신영, "군집화 기법을 이용한 B2B Marketplace 상의 최적 파트너 검색 시스템" 575-579, 2003

      2 Bloom, J. Z., "Tourist market segmentation with linear and nonlinear techniques" 25 : 723-733, 2004

      3 Schwartzkopf, A. B., "Top‐down vs. bottom‐up forecasting strategies" 26 : 1833-1843, 1988

      4 Dangerfield, B. J., "Top‐down or bottom‐up : aggregate versus disaggregate extrapolations" 8 : 233-241, 1992

      5 Curry, B., "The Kohonen self‐organizing map as an alternative to cluster analysis : An application to direct marketing" 45 : 191-211, 2003

      6 Kohonen, T., "Self‐Organizing Maps" Springer 1995

      7 Vellido, A., "Segmentation of the on‐line shopping market using neural networks" 17 : 303-314, 1999

      8 Shin, H. W., "Segmentation of stock trading customers according to potential value" 27 : 27-33, 2004

      9 방정혜, "Rethinking of Self-Organizing Maps for Market Segmentation in Customer Relationship Management" 한국지능정보시스템학회 13 (13): 17-34, 2007

      10 Huang, C. Y., "Multiple generation product life cycle predictions using a novel two‐stage fuzzy piecewise regression analysis method" 75 : 12-31, 2008

      11 Hung, C., "Market segmentation based on hierarchical self‐organizing map for markets of multimedia on demand" 34 : 780-787, 2008

      12 Shaw, M. J., "Knowledge management and data mining for marketing" 31 : 127-137, 2001

      13 Lee, J. H., "Intelligent profitable customers segmentation system based on business intelligence tools" 29 : 145-152, 2005

      14 Kuo, R. J., "Integration of self‐organizing feature map and K‐means algorithm for market segmentation" 29 : 1475-1493, 2002

      15 Lo, S., "Forecasting for the LCD monitor market" 27 : 341-356, 2008

      16 Xu, X., "Forecasting Demand of Short Life Cycle Products by SVM" 352-356, 2008

      17 Gross, C. W., "Disaggregation methods to expedite product line forecasting" 9 : 233-254, 1990

      18 Dunn, D. M., "Analysis and prediction of telephone demand in local geographic areas" 2 : 561-576, 1971

      19 Weatherby G., "Aggregation, disaggregation, and combination of forecasts" Georgia Institute of Technology 1985

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-03-25 학회명변경 영문명 : 미등록 -> Korea Intelligent Information Systems Society KCI등재
      2015-03-17 학술지명변경 외국어명 : 미등록 -> Journal of Intelligence and Information Systems KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-02-11 학술지명변경 한글명 : 한국지능정보시스템학회 논문지 -> 지능정보연구 KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.51 1.51 1.99
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.78 1.54 2.674 0.38
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