This book discusses applications of system engineering in different classes of problems and examines how a given solution for a specific problem can be transported and applied to solve another problem. It provides practical and theoretical explanations of problems, explores the application of system engineering tools, and describes the use of intelligent techniques.
System engineering is an interdisciplinary field where engineers, mathematicians, economists, scientists, and other experts can merge their abilities and skills to solve complex systems, dealing with design, analysis, programming, implementation, maintenance, and control. These complex systems can be tangible, such as high-voltage power systems, telecommunication infrastructure, or systems in the aerospace industry, or non-tangible, like computational systems, social environments, or economic problems. The solutions to these problems must ensure safety, reliability, efficiency, and maintainability. System engineering is a fascinating field because it is possible to have different visions for the same problem, providing part of the solution comes from other areas. The main idea is to assemble models (or several submodels) to represent an observed system, making it possible to study the various relationships within the system as well as those between the system and external agents. The division into submodels makes it possible to study each submodel's performance in the system's final result. Sometimes, small systems can also be complex due to the number of external agents interfering with the process or the number of observed variables.

Contents
1. Tailoring the System Life Cycle
2. How to Maintain the Unsustainability of Mobility in the Development of Urban Areas? – Example from Slovakia
3. Enhancing Total Productive Maintenance Strategy for Improved Productivity and Performance
4. Assigning Multi-Attribute Targets under Uncertainty with Multiple Suppliers and Stakeholders
5. Advanced System Diagnostics Tools: Innovations and Applications
6. Innovation in Complex Systems: Identifying Opportunities with Systems Thinking and Powering Change through Design Thinking
7. Chip I/O Design Fundamentals, Methodologies and Challenges
8. How Much Is the Cost of Implementing Arithmetic on a Quantum Computer?
9. Predictive Software Engineering: Delivering Effective Business Solutions through Custom Software Development