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Engineering Systems Acquisition and Support

This book will address the skill set of professional engineers and operations managers required to acquire and support a complex engineering system that is expected to last for a long period of time and to meet increasing demand in capability

J P T Mo (Author), A Sinha (Author)

9780857092120, Elsevier Science

Hardback, published 10 December 2014

244 pages
22.9 x 15.1 x 2.1 cm, 0.49 kg

Engineering systems such as an aircraft or frigate are highly complex and specifically designed to meet the customer’s requirements. This important book provides the information necessary to acquire and support complex engineering systems expected to last for a long time. Chapters in the first half of the book examine the life cycles of these systems, their design, testing and certification, and the principles behind their acquisition. The second half of the book reviews topics including operations support and logistics, systems maintenance, reliability and upgrades, and performance and risk analysis, ending with a discussion of the need for continuous improvements in these systems.

  • Biography
  • Preface
  • 1: Introduction
    • Abstract
    • 1.1. A new business environment for complex engineering systems
    • 1.2. Examples of complex engineering systems
    • 1.3. Value for money
    • 1.4. Requirements of logistics for support
    • 1.5. Lean support services
    • 1.6. Concept of integration
    • 1.7. Preparedness
  • 2: The life cycles of complex engineering systems
    • Abstract
    • 2.1. Complex engineering product life cycle
    • 2.2. Types of knowledge
    • 2.3. Tools and methods requirements
    • 2.4. Whole-of-life engineering
  • 3: Systems acquisition principles
    • Abstract
    • 3.1. Systems-engineering approach
    • 3.2. User requirements
    • 3.3. Requirements analysis
    • 3.4. System specification
    • 3.5. Tender management
  • 4: Systems design
    • Abstract
    • 4.1. Systems design process
    • 4.2. Systems modelling: functional, data, process
    • 4.3. Design for sustainability
    • 4.4. Tool design
    • 4.5. Design verification
    • 4.6. Design freeze
    • 4.7. Maintenance requirement determination
    • 4.8. Reliability-Centred maintenance (RCM)
    • 4.9. Certification
  • 5: Management of engineering-design changes
    • Abstract
    • 5.1. In-service phase
    • 5.2. In-service engineering support
    • 5.3. In-service system safety
    • 5.4. COTS-item obsolescence management
  • 6: Systems prototyping and testing
    • Abstract
    • 6.1. Prototyping
    • 6.2. Experimental design
    • 6.3. Physical testing
    • 6.4. Virtual testing
  • 7: Operations support and logistics
    • Abstract
    • 7.1. Process modelling
    • 7.2. Vehicle routing
    • 7.3. Provisioning and inventory analysis
    • 7.4. Remote support technologies
  • 8: Systems maintenance and reliability
    • Abstract
    • 8.1. Types of maintenance
    • 8.2. Maintenance of in-service systems
    • 8.3. Assessing an inspect-replace plan
    • 8.4. Maintenance contract risk assessment
  • 9: Mid-life upgrades
    • Abstract
    • 9.1. Systems upgradability
    • 9.2. Data authority
    • 9.3. Storage and indexing
    • 9.4. Assessment of information
    • 9.5. Best time to upgrade
    • 9.6. Release to service
  • 10: Architecture for designing support systems
    • Abstract
    • 10.1. Characteristics of enterprise architecture for service systems
    • 10.2. Enterprise-modelling methodologies
    • 10.3. Systems architecture
    • 10.4. Support systems design case studies
    • 10.5. Transition management
  • 11: Performance and risks analysis
    • Abstract
    • 11.1. Value and performance in service
    • 11.2. Development of performance indicators
    • 11.3. Evaluation of contract fulfilment capability
    • 11.4. Failure analysis
    • 11.5. Contractual risks of in-service assets
    • 11.6. In-service risks
  • 12: Continuous improvement
    • Abstract
    • 12.1. The need for continuous improvement
    • 12.2. Six-sigma processes
    • 12.3. Enterprise transformation modelling
  • 13: Final remarks
    • Abstract
    • 13.1. Intangible assets in support system lifecycle
  • Index

Subject Areas: Expert systems / knowledge-based systems [UYQE], Mechanical engineering [TGB]

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