Simulation practice model development use von robinson stewart (10 Ergebnisse)

Zustand: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. 367 p. -(Signs of use, name in ink on inside fornt board, a few notes in pencil and a few dog's ears. However, overall in good condition.). ISBN 9781137328021.

paperback. Zustand: Fine.

Zustand: New.

paperback. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. A few small stains.

Paperback. Zustand: Brand New. 3rd edition. 448 pages. 9.22x6.14x1.00 inches. In Stock.

Zustand: New. 2025. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - Guiding you through the key stages of a simulation project, this textbook provides a comprehensive introduction to the discipline. The book shows you how to develop conceptual models, perform simulation experiments, analyse the results and draw insightful conclusions. It takes a non-software specific view and can be used regardless of individual software preferences. Almost all of the techniques described also apply to the use of non-specialist simulation software, such as programming languages and spreadsheets. This edition also details advancements such as hybrid simulation, multiple recursive random number generators and digital twins. A new chapter has also been added on single-use systems, which solidifies the text's holistic approach to simulation studies. Critical engagement is encouraged through the inclusion of practical case studies and complementary online resources. Each simulation model is accompanied by illustrative examples, comparative discussions and references to promote deeper understanding of each depicted model. Every chapter is bookended by key concept definitions and summaries.Packed full of practical tips that can be immediately employed in any model development cycle - regardless of your knowledge level - Simulation is an ideal textbook for students studying simulation on upper level undergraduate and postgraduate degree courses in Business and Management, Operations Management, Logistics and Supply Chain Management, Computer Science, Engineering, Mathematics and Statistics. The text is also an invaluable resource for practitioners, such as business analysts.…