Adaptive inventory control models for supply chain management
dc.contributor.author | Kim, Y. D. | en_US |
dc.contributor.author | Kim, C. O. | en_US |
dc.contributor.author | Jun, J. | en_US |
dc.contributor.author | Baek, J. K. | en_US |
dc.contributor.author | Smith, Robert L. | en_US |
dc.date.accessioned | 2006-09-11T16:35:16Z | |
dc.date.available | 2006-09-11T16:35:16Z | |
dc.date.issued | 2005-10 | en_US |
dc.identifier.citation | Kim, C.O.; Jun, J.; Baek, J.K.; Smith, R.L.; Kim, Y.D.; (2005). "Adaptive inventory control models for supply chain management." The International Journal of Advanced Manufacturing Technology 26 (9-10): 1184-1192. <http://hdl.handle.net/2027.42/45887> | en_US |
dc.identifier.issn | 0268-3768 | en_US |
dc.identifier.issn | 1433-3015 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45887 | |
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. | en_US |
dc.format.extent | 501746 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag | en_US |
dc.subject.other | Reinforcementlearning | en_US |
dc.subject.other | Industrial and Production Engineering | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Mechanical Engineering | en_US |
dc.subject.other | Computer-Aided Engineering (CAD, CAE) and Design | en_US |
dc.subject.other | Production/Logistics | en_US |
dc.subject.other | Adaptive Inventory Control | en_US |
dc.subject.other | Simulation | en_US |
dc.subject.other | Supply Chain | en_US |
dc.title | Adaptive inventory control models for supply chain management | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, 48109-2117, USA | en_US |
dc.contributor.affiliationother | Department of Industrial System Management, Seoul College, Seoul, 131-702, South Korea | en_US |
dc.contributor.affiliationother | School of Computer and Industrial Engineering, Yonsei University, Seoul, 120-749, South Korea | en_US |
dc.contributor.affiliationother | Research Institute for Information and Communication Technologies, Korea University, Seoul, 136-701, South Korea | en_US |
dc.contributor.affiliationother | Department of Industrial Engineering, Korea Advanced Institute of Science and Technology, Daejon, 305-701, South Korea | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45887/1/170_2004_Article_2069.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s00170-004-2069-8 | en_US |
dc.identifier.source | The International Journal of Advanced Manufacturing Technology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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