SYSTEM-ENGINEERING-Introduction-Les1.pptx

introduction to system engineering

1. SYSTEM ENGINEERING BY: Alexandra Mae K. Cuya

2. What is System Engineering? - Systems engineering is a holistic, interdisciplinary field focused on designing, managing, and integrating complex systems to meet specific needs and objectives . - It involves understanding how different components interact and ensuring they work together effectively as a whole. 2

3. 3 Systems engineering is not so much a branch of engineering as it is a technique for applying knowledge from other branches of engineering and  disciplines  of science in effective combination to solve a multifaceted engineering problem. It is related to  operations research  but differs from it in that it is more a planning and design function, frequently involving technical  innovation .  Probably the most important aspect of systems engineering is its application to the development of new technological possibilities with the specific objective of putting them to use as rapidly as economic and technical considerations permit. In this sense it may be seen as the midwife of technological development.

4. WHAT IS SYSTEM ENGINEERING? 4 Designing and implementing systems and tools Troubleshooting issues with a company's systems and networks Automating tasks for production environments Installing new hardware and software Performing system upgrades Managing backup and recovery Monitoring and capacity planning for servers Conducting version control and management Developing system security standards Assessing resources to meet organizational needs Overseeing help desk staff

5. KEY ASPECT OF SYSTEM ENGINEERING - Holistic Approach: Systems engineering considers the entire system, not just individual parts, emphasizing the interconnectedness of components and their interactions . - Interdisciplinary : It draws upon knowledge and expertise from various engineering and scientific disciplines, such as mechanical, electrical, software, and human factors engineering. 5

6. Life Cycle Management: Systems engineers manage the system's entire lifecycle, including requirements definition, design, development, testing, implementation, operation, and eventual retirement. Optimization: A core goal is to optimize system performance, balancing competing requirements and constraints to achieve the best overall outcome. Stakeholder Management: Systems engineers work with various stakeholders (users, owners, developers) to understand their needs and ensure the system meets their expectations. 6

7. What are the fundamentals of systems engineering ? - Systems engineering is based around systems thinking principles, and the goal of a systems engineer is to help a product team produce an engineered system that performs a useful function as defined by the requirements written at the beginning of the project.  7

8. SYSTEM MODELLING -System modelling is the process of creating abstract representations (models) of a system to understand, analyze, and communicate its structure, behavior, and interactions. - These models can be visual, mathematical, or a combination of both, and are used to represent different aspects of a system from various perspectives. Essentially, it's a way to simplify complex systems to make them easier to understand, design, and manage. 

9. Key Aspects of System Modelling : 9 Abstraction: System modelling involves simplifying a complex system by focusing on its essential characteristics and omitting irrelevant details.  Multiple Perspectives: A single system can be modelled from different viewpoints, such as its structure, behavior , data flow, or interactions with its environment.  Graphical Notation: Many system models utilize graphical notations like the Unified Modelling Language (UML) or Business Process Modelling Notation (BPMN) for clear communication and visualization. 

10. Types of Models: 10 Structural models:  Represent the components of a system and their relationships.  Behavioral models:  Describe how a system responds to inputs and events.  Functional models:  Illustrate the functions performed by a system.  Data models:  Represent the data used and manipulated by a system.  Architectural models:  Capture the overall structure and organization of a system. 

11. SYSTEM INTEGRATION 11 System integration is the process of connecting disparate software applications, hardware systems, and data sources into a single, cohesive unit that functions as one, enabling them to share data and work together seamlessly.

12. 12 - ( also referred to as  IT integration  or  software integration ) is the process of joining software and hardware modules into one cohesive infrastructure. The goal is to make these systems work together smoothly so they can share information and processes more efficiently. 

13. How System Integration Works : 13 Connecting Systems: Integration involves linking various software applications, databases, and IT hardware so they can communicate and exchange data.  Data Flow : The process ensures data can move smoothly between these interconnected systems, often requiring data transformation to make different formats compatible.  Unified Functionality: The integrated systems collectively provide overarching functionality, allowing them to cooperate as a single system rather than as disconnected parts. 

14. Types of System Integration: 14 Horizontal integration : Combines systems or components at the same level of functionality. Vertical integration : Integrates systems or components across different levels of functionality. Star integration : Connects multiple systems or components to a central hub. Bus integration : Uses a shared communication channel to integrate multiple systems or components.

15. Key steps of system integration Companies can automate and gain full transparency of their business operations by joining enterprise data and systems together. If you want to conduct effective integration and return your investments in no time, there are a few crucial steps to take. 15

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