The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.
Produkteigenschaften
- Artikelnummer: 9780792399179
- Medium: Buch
- ISBN: 978-0-7923-9917-9
- Verlag: Springer US
- Erscheinungstermin: 31.05.1997
- Sprache(n): Englisch
- Auflage: 1997
- Serie: International Series in Operations Research & Management Science
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 1068 g
- Seiten: 581
- Format (B x H x T): 160 x 241 x 37 mm
- Ausgabetyp: Kein, Unbekannt