DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김정일 | - |
dc.contributor.author | 차경천 | - |
dc.contributor.author | 전덕빈 | - |
dc.contributor.author | 박대근 | - |
dc.contributor.author | 박성호 | - |
dc.contributor.author | 박명환 | - |
dc.date.accessioned | 2009-12-28T07:39:16Z | - |
dc.date.available | 2009-12-28T07:39:16Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005-05 | - |
dc.identifier.citation | 2005년 한국경영과학회 학술대회, v., no., pp.0 - 0 | - |
dc.identifier.uri | http://hdl.handle.net/10203/15901 | - |
dc.description.abstract | This study presents the empirical results of comparing several demand forecasting methods for Supply Chain Management(SCM). Adaptive exponential smoothing using change detection statistics (Jun) is compared with Trigg and Leachs adaptive methods and SAS time series forecasting systems using weekly SCM demand data. The results show that Juns method is superior to others in terms of one-step-ahead forecast error and eight-step-ahead forecast error. Based on the results, we conclude that the forecasting performance of SCM solution can be improved by the proposed adaptive forecasting method. | - |
dc.language | KOR | - |
dc.language.iso | ko | en |
dc.publisher | 한국경영과학회 | - |
dc.title | 적응적 지수평활법을 이용한 공급망 수요예측의 실증분석 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 0 | - |
dc.citation.endingpage | 0 | - |
dc.citation.publicationname | 2005년 한국경영과학회 학술대회 | - |
dc.identifier.conferencecountry | South Korea | - |
dc.contributor.localauthor | 전덕빈 | - |
dc.contributor.nonIdAuthor | 김정일 | - |
dc.contributor.nonIdAuthor | 차경천 | - |
dc.contributor.nonIdAuthor | 박대근 | - |
dc.contributor.nonIdAuthor | 박성호 | - |
dc.contributor.nonIdAuthor | 박명환 | - |
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