| 书目名称 | Robust Modelling and Simulation |
| 副标题 | Integration of SIMIO |
| 编辑 | Idalia Flores De La Mota,Antoni Guasch,Miquel Ange |
| 视频video | |
| 概述 | Offers a comprehensive guideline to tackle industrial problems.Reviews the simulation methodology and the theory of the Coloured Petri Net formalism.Presents how the practitioner can smoothly integrat |
| 图书封面 |  |
| 描述 | .This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which variability is the common denominator. Practically all industrial systems, from manufacturing to aviation are considered stochastic systems. Different modelling techniques have been developed as well as mathematical techniques for formalizing the cause-effect relationships in industrial and complex systems. The methodology in this book illustrates how complexity in modelling can be tackled by the use of coloured petri nets, while at the same time the variability present in systems is integrated in a robust fashion. The book can be used as a concise guide for developing robust models, which are able to efficiently simulate the cause-effect relationships present in complex industrial systemswithout losing the simulation power of discrete-event simulation. In addition SIMIO’s capabilities allows integration of features that are becoming more and more important for the success of projects su |
| 出版日期 | Book 2017 |
| 关键词 | Industrial systems; Tackling complexity in Modelling; Developing robust models; Petri Net; Logistics; Aer |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-53321-6 |
| isbn_softcover | 978-3-319-85126-6 |
| isbn_ebook | 978-3-319-53321-6 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 16:09:15
