Systems Engineering, Design and Management

After participating in this course, you will be able to:

• Apply systems engineering approaches to manage project scope and execution effectively.
• Utilize advanced management tools to enhance project efficiency and outcomes.
• Conduct thorough system design reviews, including SDR, PDR, and CDR, ensuring alignment with project goals.
• Monitor and maintain requirements traceability in accordance with contract statements.
• Oversee the entire lifecycle of systems, from initial conception to commissioning, ensuring seamless transitions.

Description
Staying ahead in the evolving engineering landscape requires mastery of systems engineering methodologies and techniques. This course delves into the fundamental principles of systems engineering, emphasizing the critical stages of requirements analysis, system design, verification, and deployment. Participants will learn to apply these principles to manage complex projects, ensuring efficient and effective outcomes from start to finish.

By comprehensively exploring system engineering approaches, you will gain insights into managing project scope, conducting feasibility analyses, and ensuring compliance with design and performance standards. The course also covers the nuances of system requirements, from proposal to contract, and the tools and methods necessary for tracking and managing these requirements effectively.

Whether involved in mechanical or electrical design, field engineering, project management, or consultancy, this course equips you with the skills to elevate your professional capabilities. By integrating case studies and practical applications, you'll leave with an understanding of system engineering processes and be ready to apply your knowledge in real-world scenarios.

Who Should Attend
This course is intended for mechanical and electrical designers, field engineers, consultants, and project engineers involved in engineering projects at all levels.

It is also suited for government and military technology engineers, technical personnel seeking to enhance their understanding of systems engineering, and program managers requiring practical knowledge of systems engineering practices. Additionally, professionals aiming to upgrade their current expertise and knowledge in systems engineering will find this course highly beneficial.

Day I

System Engineering, An Interdisciplinary Approach

• From ‘System’ to ‘System Engineering’
• Engineered control systems
• System engineering approach in managing project scope
• Feasibility analysis

Identifying, Controlling and Management of System Requirements

• From proposal to contract, the negotiation
• Requirements, traceability and allocation
• Controlling compliance with requirements
• Managing compliance matrices
• Methods and tools for tracking system requirements

Analysis and Design

• Basic concepts
• Representation of systems
• Bottom-up vs top-down design
• System block diagrams
• System flow charts
• System interfaces
• System specifications
• Technical Performance Measurements (TPM)

System Technical Reviews

• Planning of technical reviews
• System Requirements Review (SDR)
• Preliminary Design Review (PDR)
• Interface Design Review
• Critical Design Review (CDR)
• Conducting technical reviews

Day II

System Engineering Process, from Proposal to Commission

• System life cycle: from requirements through design and testing to deployment and obsolescence
• Management plan
• Functional analysis, Modeling and Simulation tools,
• Prototype development
• Verification and Validation plan
• System configuration control and management (SCM)
• Qualification process

Applicable Design Standards and Practices

• ISO/IEC 15288 System and Software Engineering, Life Cycle Items standard
• IEEE/ EIA 12207: The Life Cycle Process Framework
• Human engineering as part of systems development
• Design of industrial workplace
• System safety, hazard identification and analysis
• Hazards Log
• Mitigation of hazards through the design process
• Failure effects analysis

• Capability Maturity Models, Integrated (CMMI)

Case Studies