부품서비스 관점에서 분배 알고리즘을 적용한 수요예측 엔진의 설계 및 개발에 관한 연구
A Design and Development of Demand Forecasting Engine by applying Distribution Algorithms based on Parts Services
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
In this study, a forecasting engine from the user perspective is studied and developed. Characteristics of forecasting engine can be divided into a few categories, an algorithms for predicting variety of situations and the depth of algorithms based on the number and the types of data. Then applying a variety of algorithms that most closely match the predicted values for the actual value that deduce criteria for selecting an appropriate forecasting algorithm is to organize. Through the forecast quality assessment, the suggested distribution algorithm compared to the existing demand forecast algorithms is good indicators for its accuracy.
Abstract
In this study, a forecasting engine from the user perspective is studied and developed. Characteristics of forecasting engine can be divided into a few categories, an algorithms for predicting variety of situations and the depth of algorithms based on the number and the types of data. Then applying a variety of algorithms that most closely match the predicted values for the actual value that deduce criteria for selecting an appropriate forecasting algorithm is to organize. Through the forecast quality assessment, the suggested distribution algorithm compared to the existing demand forecast algorithms is good indicators for its accuracy.
참고문헌 (13)
- 권재현, "SCM 구축을 위한 협업적 수요예측 모형 개발:통신장비 제조 산업의 협업 수요예측 실제 사례 모형 연구", 석사, pp.2003
- 오홍용, "시계열 분석과 인공신경망을 이용한 단기 천연가스 수요예측", 석사, pp.1997
- 윤영진, "소매업에서의 수요예측기법의 활용사례 연구", 한국경영컨설팅학회, 8(4) (2008)
- 이영, "서비스 부품 매출량을 이용한 데이터 분석과 그룹화에 관한 연구", 32(1), pp.37~42 (2009), 계명대 산업기술연구소
- 이덕기, "예측방법의 이해, 초판" (1999), 고려정보산업
- 이재식, "Box-Jenkins 시계열 분석법을 이용한 국내 정유제품의 단기수요 예측", 석사, pp.1979
- 이충기, "최적 시계열 수요예측 모델선정에 관한 연구", 관광학연구, 31(6), pp.289~311 (2007), 한국관광학회
- 문덕중, "생산운영관리", pp.2~ (2003), 문영사
- 조신섭, "시계열분석, 초판" (1999), 율곡출판사
- Burger, G, "A practitioners guide to time-series methods for tourism demand forecasting-a case study of Durban, South Africa", Tourism Management, 22(4) (2001)
- Johnston F.R, "Forecasting for items with Intermittent Demand", Journal of Operation Research Society, 47(1), pp.113~121 (1996)
- Kulendran, N, "Forecasting the Demand for International Business Tourism", Journal of Travel Research, 41(3) (2003)
- Yue,X, "Demand forecast sharing in a dual-channel supply chain", European Journal of Operation Research, 174(1), pp.646~667 (2006)