Book Image

Systems Engineering Demystified, Second Edition - Second Edition

By : Jon Holt
4 (1)
Book Image

Systems Engineering Demystified, Second Edition - Second Edition

4 (1)
By: Jon Holt

Overview of this book

Systems engineering helps in developing and describing complex systems. Written by an internationally-recognized systems engineering expert, this updated edition provides insight into elements to consider when designing a complex system that is robust and successful. The latest edition covers the new approaches of Model-Based Systems Engineering (MBSE) and its deployment techniques using the Trinity approach. You will learn about the system engineering life cycle and processes to implement. Effective systems can be built only when the system is designed with close attention to detail, meaning each aspect of the system is recognized and understood before the system is built. The book explains in great detail, different system models and visualization techniques, with a focus on SysML, to help you visualize a system in the design phase. You will also learn various verification and validation techniques to ensure your system design is ready to be implemented. The book ends with key management processes, systems engineering best practices, and guidelines, with a new section on effective approaches based on the author’s impressive 30 years of experience in the field. By the end of this systems engineering book, you'll be able to apply modern model-based systems engineering techniques to your own systems and projects.
Table of Contents (20 chapters)
1
Part I: Introduction to Systems Engineering
4
Part II: Systems Engineering Concepts
8
Part III: Systems Engineering Techniques
14
Part IV: Next Steps
18
Other Books You May Enjoy
19
Index

Inspiring Confidence in Models

The importance of confidence in the Model cannot be understated and it is a very powerful attribute of the Model. Confidence in the Model will lead directly to confidence in the System.

Consistency Is King

So far in this book, we have discussed the concept of consistency and how it can be applied to our Models. Indeed, we have stated that consistency is an inherent attribute of a Model and that an inconsistent Model is simply a collection of information and not a Model. Consistency is one of the main indicators of confidence in the Model.

For the purpose of this discussion, we need to refer back to a small subset of the original MBSE on some slides, which is shown in the following diagram:

Figure 12.6: A subset of MBSE in a slide

The diagram in Figure 12.6 shows a subset of MBSE on some slides that focuses on the Model and the Notation, which will allow us to discuss the nature of consistency. There are, however, a number of...