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UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Towards Optimized Algorithmic Solutions of Management Science and Technology Strategic Problems
March 25-March 27
ISBN: 978-0-7695-3593-7
| ASCII Text | x | ||
| Alexandra Lipitakis, "Towards Optimized Algorithmic Solutions of Management Science and Technology Strategic Problems," Computer Modeling and Simulation, International Conference on, pp. 287-292, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/UKSIM.2009.110, author = {Alexandra Lipitakis}, title = {Towards Optimized Algorithmic Solutions of Management Science and Technology Strategic Problems}, journal ={Computer Modeling and Simulation, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3593-7}, pages = {287-292}, doi = {http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.110}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Modeling and Simulation, International Conference on TI - Towards Optimized Algorithmic Solutions of Management Science and Technology Strategic Problems SN - 978-0-7695-3593-7 SP287 EP292 A1 - Alexandra Lipitakis, PY - 2009 KW - e-business KW - strategy management KW - adaptive algorithms KW - digital information management KW - supply chain management KW - retail sector supply chain KW - automatic detection of OOS products VL - 0 JA - Computer Modeling and Simulation, International Conference on ER - | |||
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.
Index Terms:
e-business, strategy management, adaptive algorithms, digital information management, supply chain management, retail sector supply chain, automatic detection of OOS products
Citation:
Alexandra Lipitakis, "Towards Optimized Algorithmic Solutions of Management Science and Technology Strategic Problems," uksim, pp.287-292, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009
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