Jump to ratings and reviews
Rate this book

Simulation: The Practice of Model Development and Use

Rate this book
The new edition of this successful textbook provides a comprehensive introduction to simulation, foregrounding the topic as an applied problem-solving tool. Guiding readers through the key stages in a simulation project in terms of both the technical requirements and the project management issues surrounding it, the book will enable students to develop appropriate valid conceptual models, perform simulation experiments, analyse the results and draw insightful conclusions. The author’s engaging style and authoritative knowledge of the subject make the book as accessible as it is essential, drawing on case studies and complementary online content to encourage a critical engagement with the topic.
This is an ideal textbook for those studying on upper level undergraduate and postgraduate degree courses in Business and Management and MBA programmes, and is a core text for those specialising in operations management. In addition, it is an important text for students taking Simulation modules on Engineering, Computer Science or Mathematics degree programmes.

392 pages, Paperback

First published January 21, 2004

Loading...
Loading...

About the author

Stewart Robinson

13 books1 follower

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
0 (0%)
4 stars
6 (60%)
3 stars
4 (40%)
2 stars
0 (0%)
1 star
0 (0%)
Displaying 1 - 3 of 3 reviews
Profile Image for Alican Tüzün.
16 reviews
October 23, 2022
Good book overall. There is a lot of information to digest. The author gave several reading recommendations, which help while writing papers.
Profile Image for Ville.
3 reviews
February 26, 2012
Good overview of simulation projects, suitable for beginners and intermediate users, but is not enough for completing a simulation project from scratch. Provides an excellent amount of additional reading suggestions, though. Some previously acquired knowledge of statistical mathematics is highly recommended, but not mandatory.
Displaying 1 - 3 of 3 reviews