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

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The 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.
Advisors
Lee, Jae-Kyuresearcher이재규researcher
Description
한국과학기술원 : 경영정보공학과,
Publisher
한국과학기술원
Issue Date
1996
Identifier
107116/325007 / 000947099
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 경영정보공학과, 1996.2, [ viii, 95 p. ]

Keywords

$(s^*,S^*)$ Model; Adaptive inventory control; (s; S) Model; Demand forecasting; Neural network; Information system; Inventory management; Expert system; 전문가 시스템; $(s^*,S^*)$ 모형; 적응성을 갖는 재고 통제; (s; S) 모형; 수요 예측; 신경회로망; 재고 관리; 정보 시스템

URI
http://hdl.handle.net/10203/52957
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=107116&flag=dissertation
Appears in Collection
KGSM-Theses_Master(석사논문)
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