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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lipitakis, A. |
| Copyright Year | 2009 |
| Abstract | In this paper we show that e-business and strategic management problems in Digital Information Management (DIM) methodologies can be efficiently solved by using corresponding adaptive algorithmic procedures. A case study representing characteristic e-business problems and strategic management methodologies in DIM related to supply chain management and automatic detection of out-of-shelf (OOS) products, is presented by considering the proposed algorithmic approach. The adaptability and compactness of the proposed algorithmic schemes combined by the proper choice of singular perturbation parameters allow the (near) optimum solution of a wide class e-business and strategic management problems in Digital Information Management and its various applications. |
| Starting Page | 287 |
| Ending Page | 292 |
| File Size | 254220 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437719 |
| DOI | 10.1109/UKSIM.2009.110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-25 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Supply chain management retail sector supply chain Adaptive algorithm Computational modeling strategy management Conference management Knowledge management Information management e-business Couplings Technology management supply chain management digital information management automatic detection of OOS products adaptive algorithms Internet Business |
| Content Type | Text |
| Resource Type | Article |
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