DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, CO | ko |
dc.contributor.author | Jun, J | ko |
dc.contributor.author | Baek, JK | ko |
dc.contributor.author | Smith, RL | ko |
dc.contributor.author | Kim, Yeong-Dae | ko |
dc.date.accessioned | 2013-03-07T11:28:42Z | - |
dc.date.available | 2013-03-07T11:28:42Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005-10 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.26, pp.1184 - 1192 | - |
dc.identifier.issn | 0268-3768 | - |
dc.identifier.uri | http://hdl.handle.net/10203/90076 | - |
dc.description.abstract | Uncertainties inherent in customer demands make it difficult for supply chains to achieve just-in-time inventory replenishment, resulting in loosing sales opportunities or keeping excessive chain-wide inventories. In this paper, we propose two adaptive inventory-control models for a supply chain consisting of one supplier and multiple retailers. The one is a centralized model and the other is a decentralized model. The objective of the two models is to satisfy a target service level predefined for each retailer. The inventory-control parameters of the supplier and retailers are safety lead time and safety stocks, respectively. Unlike most extant inventory-control approaches, modelling the uncertainty of customer demand as a statistical distribution is not a prerequisite in the two models. Instead, using a reinforcement learning technique called action-value method, the control parameters are designed to adaptively change as customer-demand patterns changes. A simulation-based experiment was performed to compare the performance of the two inventory-control models. | - |
dc.language | English | - |
dc.publisher | SPRINGER LONDON LTD | - |
dc.subject | INFORMATION | - |
dc.subject | POLICIES | - |
dc.title | Adaptive inventory control models for supply chain management | - |
dc.type | Article | - |
dc.identifier.wosid | 000232845500032 | - |
dc.identifier.scopusid | 2-s2.0-27544435612 | - |
dc.type.rims | ART | - |
dc.citation.volume | 26 | - |
dc.citation.beginningpage | 1184 | - |
dc.citation.endingpage | 1192 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | - |
dc.identifier.doi | 10.1007/s00170-004-2069-8 | - |
dc.contributor.localauthor | Kim, Yeong-Dae | - |
dc.contributor.nonIdAuthor | Kim, CO | - |
dc.contributor.nonIdAuthor | Jun, J | - |
dc.contributor.nonIdAuthor | Baek, JK | - |
dc.contributor.nonIdAuthor | Smith, RL | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | adaptive inventory control | - |
dc.subject.keywordAuthor | reinforcement learning | - |
dc.subject.keywordAuthor | simulation | - |
dc.subject.keywordAuthor | supply chain | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | POLICIES | - |
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