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SCM 환경에서 행동-보상 학습 기법을 이용한 JIT 기반 동적 간판 시스템A Reactive Kanban System for JIT using Action-Reward Learning Method in a Supply Chain Environment

Other Titles
A Reactive Kanban System for JIT using Action-Reward Learning Method in a Supply Chain Environment
Authors
손민영고효헌김성식백준걸
Issue Date
2011
Publisher
한국SCM학회
Keywords
Reactive Kanban System; Action-Reward Learning; Inventory Cost; Non-Stationary Demand; Demand Clustering; Reactive Kanban System; Action-Reward Learning; Inventory Cost; Non-Stationary Demand; Demand Clustering
Citation
한국SCM학회지, v.11, no.1, pp.1 - 13
Indexed
KCI
Journal Title
한국SCM학회지
Volume
11
Number
1
Start Page
1
End Page
13
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/113639
ISSN
1598-382X
Abstract
This paper propose a reactive Kanban system for a multistage production system with non-stationary customer demands using action-reward learning method. The proposed method leads to decrease the inventory cost. In the reactive Kanban system, the time series data for the demand are monitored and the control parameter of action-reward learning is designed to adaptively change as customer demand pattern changes. Then, in this system, the number of Kanbans and the buffer size at each stage are adjusted as a response to the adapted control parameter. A simulation-based experiment was performed to compare the performance of the reactive Kanban system.
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