한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)

  • 제31권3호
  • /
  • Pages.27-40
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  • 2006
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  • 1225-1119(pISSN)
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  • 2733-4759(eISSN)
한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

행동-보상 학습 기법을 이용한 적응형 VMI 모형

An Adaptive Vendor Managed Inventory Model Using Action-Reward Learning Method

  • 김창욱 (연세대학교 정보산업공학과) ;
  • 백준걸 (인덕대학 산업시스템경영과) ;
  • 최진성 (연세대학교 정보산업공학과) ;
  • 권익현 (고려대학교 산업시스템정보공학과)
  • 발행 : 2006.09.01
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초록

Today's customer demands in supply chains tend to change quickly, variously even in a short time Interval. The uncertainties of customer demands make it difficult for supply chains to achieve efficient inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. Un this paper, we propose an adaptive vendor managed inventory (VMI) model for a two-echelon supply chain with non-stationary customer demands using the action-reward learning method. The Purpose of this model is to decrease the inventory cost adaptively. The control Parameter, a compensation factor, is designed to adaptively change as customer demand pattern changes. A simulation-based experiment was performed to compare the performance of the adaptive VMI model.

키워드

참고문헌

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