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Añadir al carritoPaperback. Condición: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Nephron Algorithm | A new solution to the supplier selection problem based upon rank-oriented clustering | Reza Behmanesh (u. a.) | Taschenbuch | 72 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659277863 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supplier chain management (SCM) can respond to rapid market changes quickly and hence increase competitive advantage. On the other hand, supplier lies in first node of SCM. So, supplier evaluation and selection is important task to the whole SCM's agility and competition. Besides, there exist several proposed approaches to resolve this problem. However, a different methodology is proposed due to its powerful discriminatory performance, in this work. For this purpose, the nephron algorithm (NA) as a biological computation was inspired based of natural nephron performance because of its intelligent screening. It can be applied as data mining technique in order to cluster as well as to prioritize suppliers according their attributes and scores respectively. To illustrate the proposed model, the large, multinational, and Telecommunication Company was taken into account. Consequently, applied model is supposed to cluster suppliers precisely and accurately according to intellectual logic o nephron. 72 pp. Englisch.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Behmanesh RezaReza Behmanesh from Iran, with birth date of 3/2/1979. B.A. degree of mining engineering from IUT, Isfahan, Iran. M.A. degree of Industrial engineering from Yazd university, Yazd, Iran graduated in 30/8/2010. The author.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Okt 2012, 2012
ISBN 10: 365927786X ISBN 13: 9783659277863
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Supplier chain management (SCM) can respond to rapid market changes quickly and hence increase competitive advantage. On the other hand, supplier lies in first node of SCM. So, supplier evaluation and selection is important task to the whole SCM's agility and competition. Besides, there exist several proposed approaches to resolve this problem. However, a different methodology is proposed due to its powerful discriminatory performance, in this work. For this purpose, the nephron algorithm (NA) as a biological computation was inspired based of natural nephron performance because of its intelligent screening. It can be applied as data mining technique in order to cluster as well as to prioritize suppliers according their attributes and scores respectively. To illustrate the proposed model, the large, multinational, and Telecommunication Company was taken into account. Consequently, applied model is supposed to cluster suppliers precisely and accurately according to intellectual logic o nephron.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 365927786X ISBN 13: 9783659277863
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Supplier chain management (SCM) can respond to rapid market changes quickly and hence increase competitive advantage. On the other hand, supplier lies in first node of SCM. So, supplier evaluation and selection is important task to the whole SCM's agility and competition. Besides, there exist several proposed approaches to resolve this problem. However, a different methodology is proposed due to its powerful discriminatory performance, in this work. For this purpose, the nephron algorithm (NA) as a biological computation was inspired based of natural nephron performance because of its intelligent screening. It can be applied as data mining technique in order to cluster as well as to prioritize suppliers according their attributes and scores respectively. To illustrate the proposed model, the large, multinational, and Telecommunication Company was taken into account. Consequently, applied model is supposed to cluster suppliers precisely and accurately according to intellectual logic o nephron.