Inventory control expert system for large scale retailers = 대규모 유통업에서의 재고관리 전문가 시스템에 관한 연구

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dc.contributor.advisorLee, Jae-Kyu-
dc.contributor.advisor이재규-
dc.contributor.authorLee, Kwang-Yon-
dc.contributor.author이광연-
dc.date.accessioned2011-12-27T02:02:06Z-
dc.date.available2011-12-27T02:02:06Z-
dc.date.issued1996-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=107116&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/52957-
dc.description학위논문(석사) - 한국과학기술원 : 경영정보공학과, 1996.2, [ viii, 95 p. ]-
dc.description.abstractThe needs of tightly coupled information system and inventory management system is caused by the progress of information system. Information system such as POS system or automatic warehousing system makes many assumptions and constraints needless, under which the existing inventory models have made an effort to resolve. Information system make it possible to use the complex but excellent neural network approach for demand forecasting and really neural network approach shows better performance than any other forecasting methods. By utilizing the information from demand forecasting process, we develop the (s*, S*) model with adaptive features based on the present (s, S) model. When making decision on safety stock and replenishment quantity, the (s*, S*) model determines adaptively one between two kinds of alternatives with respect to. Through the performance evaluation using real data, we prove that the (s*, S*) model is superior to the present (s, S) model in two measures of stockout occasion and inventory turnover. We suggest the architecture of the inventory control expert system to apply the (s*, S*) model to the real retailing industry and develop it. In order to validate the inventory control expert system in real industry, we apply it to Hanwha store case and the results are fairly good.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectAdaptive inventory control-
dc.subject(s-
dc.subjectS) Model-
dc.subjectDemand forecasting-
dc.subjectNeural network-
dc.subjectInformation system-
dc.subjectInventory management-
dc.subjectExpert system-
dc.subject전문가 시스템-
dc.subject적응성을 갖는 재고 통제-
dc.subject(s-
dc.subjectS) 모형-
dc.subject수요 예측-
dc.subject신경회로망-
dc.subject재고 관리-
dc.subject정보 시스템-
dc.titleInventory control expert system for large scale retailers = 대규모 유통업에서의 재고관리 전문가 시스템에 관한 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN107116/325007-
dc.description.department한국과학기술원 : 경영정보공학과,-
dc.identifier.uid000947099-
dc.contributor.localauthorLee, Jae-Kyu-
dc.contributor.localauthor이재규-
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KGSM-Theses_Master(석사논문)
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