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Beschreibung
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.
Details
| Verlag | Springer US |
| Ersterscheinung | 19. November 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 517 Gramm |
| Format | Softcover |
| ISBN-13 | 9781441919540 |
| Seiten | 324 |
Schlagwörter
Angewandte Mathematik, Applications of Mathematics, Business Strategy and Leadership, Kybernetik und Systemtheorie, Management spezifischer Bereiche, Management: Entscheidungstheorie, Operations Management, Operations Research and Decision Theory, Probability Theory, Stochastik, Strategisches Management, Systems Theory - Control, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik
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