Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: moluna, Greven, Alemania
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: preigu, Osnabrück, Alemania
EUR 47,85
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Añadir al carritoTaschenbuch. Condición: Neu. Supplier evaluation using topsis. | A multi criteria decision making methods | Vicas Dave (u. a.) | Taschenbuch | 108 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200324313 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2019, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 54,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book attempt has been made to eliminate the problem of finding the right supplier selection . Because supplier selection has a critical effect on the competitiveness of the entire supply chain network. Supplier selection is one of the most important function of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage. However, this decision becomes complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem.One of the ABC manufacturing company has been selected for evaluating their best supplier using fuzzy TOPSIS Techniques of priority for similarity to ideal solution methods has been used them. 108 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: Majestic Books, Hounslow, Reino Unido
EUR 86,53
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 87,39
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2019, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 54,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book attempt has been made to eliminate the problem of finding the right supplier selection . Because supplier selection has a critical effect on the competitiveness of the entire supply chain network. Supplier selection is one of the most important function of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage. However, this decision becomes complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem.One of the ABC manufacturing company has been selected for evaluating their best supplier using fuzzy TOPSIS Techniques of priority for similarity to ideal solution methods has been used them.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 620032431X ISBN 13: 9786200324313
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 55,56
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book attempt has been made to eliminate the problem of finding the right supplier selection . Because supplier selection has a critical effect on the competitiveness of the entire supply chain network. Supplier selection is one of the most important function of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage. However, this decision becomes complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem.One of the ABC manufacturing company has been selected for evaluating their best supplier using fuzzy TOPSIS Techniques of priority for similarity to ideal solution methods has been used them.