Art

J-GLOBAL ID：201802275031566508   Reference number：18A0780708

DYNAMIC INVENTORY CONTROL MODEL WITH FLEXIBLE SUPPLY NETWORK

フレキシブル供給ネットワークによる動的在庫制御モデル

Author (2)： Sato Kimitoshi (Kanagawa University) ,  Takezawa Naoya (Nanzan University)
Material： Journal of the Operations Research Society of Japan  (日本オペレーションズ・リサーチ学会論文誌)
Volume： 61  Issue： 2  Page： 217-235(J-STAGE)  Publication year： 2018 
JST Material Number： G0402A  ISSN： 0453-4514  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： inventory control ,  *inventory problem ,  *failure probability ,  *material supply ,  *Markov process ,  dynamic programming ,  mathematical model ,  theorem proving ,  formulation ,  cost function ,  plan ,  convex programming ,  order (sequence) ,  control system ,  numerical calculation ,  finite horizon ,  numerical experiment
Semi thesaurus term： *Supply chain networking ,  MDP ,  期間モデル ,  凸順序づけ

Author keywords (5)： Inventory ,  Disruption probability ,  Supply chain network ,  Markov-modulated demand ,  Dynamic Programming

JST classification (2)： Network methods  (KA03040X) ,  Material management  (KB05020S)

Reference (16)：

• [1] A. Federgruen and P. Zipkin: Approximations of dynamic multilocation production and inventory problems. Management Science, 30 (1984), 69-84.
• [2] G. Gallego and H. Hu: Optimal policies for production/inventory systems with finite capacity and Markov-modulated demand and supply processes. Annals of Operations Research, 126 (2004), 21-41.
• [3] Y. Gerchak and M. Parlar: Yield variability, cost tradeoffs and diversification in the EOQ model. Naval Research Logistics, 37 (1990), 341-354.
• [4] D. Gupta and W.L. Cooper: Stochastic comparisons in production yield management. Operations Research, 37 (1990), 341-354.
• [5] D.P. Heyman and M.J. Sobel: Stochastic Models in Operations Research, Vol. 2 (New York: McGraw-Hill, 1984).

Terms in the title (2)： 在庫 ,  制御モデル