Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 33,64
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. 340 Illus.
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Bd. 54. 10 ills., XV, 324 p. Hardcover Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stochstic Modelling and Applied Probability. Sprache: Englisch.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 114,38
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
EUR 124,02
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied math.
Sprache: Englisch
Verlag: Springer New York Mär 2005, 2005
ISBN 10: 0387219471 ISBN 13: 9780387219479
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.