Badiru A.B. Systems Engineering Models: Theory, Methods, and Applications

Chapman and Hall/CRC, 2019. — 200 p. — (Systems Innovation Book). — ISBN 9781351266512, 1351266519.This book presents a comprehensive compilation of practical systems engineering models. The application and recognition of systems engineering is spreading rapidly, however there is no book that addresses the availability and usability of systems engineering models. Notable among the models to be included are the V-Model, DEJI Model, and Waterfall Model. There are other models developed for specific organizational needs, which will be identified and presented in a practical template so that other organizations can learn and use them. A better understanding of the models, through a comprehensive book, will make these models more visible, embraced, and applied across the spectrum.Systems introductionINCOSE Systems Engineering Competency Framework
Awareness proficiency
Supervised practitioner proficiency
Practitioner
Lead practitioner
Expert
Systems attributes, factors, and indicators
The scope of systems engineering
Systems definitions and attributes
Systems constraints
Systems value modelingModel-based systems engineeringWhat is a model?
Elements of MBSE
Process improvement in model-based systems
Business process reengineering
Lean
Six Sigma
Selecting a methodologyChapter 3 Human Factors in systems modelingElements of Human Factors
Cognition
Behavior
Performance
Reliability
The benefits of Human Factors
A Human Factors conceptual model
Long-term memory
Types of long-term memory
Implications for design
Case: power-plant control
Working memory
Implications for design
Case: cockpit checklists
Sensation
Implications for design
Case: industrial dashboards
Perception
Implications for design
Case: in-vehicle navigation systems
Attention and mental workload
Implications for design
Case: warnings
Situation awareness
Implications for design
Case: air-traffic systems
Decision-making
Diagnosis
Choice
Decision-making heuristics
Implications for design
Case: accident investigation
Cognitive consequences of design
Learning
Implications for design
Error
Implications for designErgonomics in systems design and modelingThe design process
Design purposes and outcomes
Life cycle
Structures, processes, and outcomes
Prediction
The 6Us and 2Ms
A case study in design – the Hong Kong Mass Transit Railway
Qualitative and quantitative design tools
Concurrent engineering
Communication in the design process
ConclusionsSystems theory for systems modelingIndividual fields of science
Systems theory
Introduction to theory
Systems propositions
Axioms of systems theory
Construct for systems theory
Multidisciplinary implications of systems theorySystem-of-systems engineering management for systems modelingState of knowledge and practice
A. Systems engineering (SE)
B. System of Systems Engineering (SoSE)
C. Analysis of literature review
System of Systems Engineering (SOSE) Management
A. SoS characteristics
B. Network management
Case study of the Integrated Deepwater System (IDS)
A. Part A: current IDS status
B. Part B: feedback
C. Part C: conceptual areas
D. Part D: distinguishing characteristics and opposing forcesWaterfall model, V-model, spiral model, and other SE modelsThe waterfall model
The V-model
Spiral model
Defense Acquisitions University SE model
Walking skeleton model
Object-oriented analysis and designThe DEJI model of systems engineeringApplication to quality system
Quality accountability
The DEJI model
Design of quality
Evaluation of quality
Justification of quality
Earned value technique for earned quality
Integration of qualityVehicle systems modelingTransient handling characteristics
Transient agility
Transient stability
Transient precision
Transient roll support
Methods to subjectively evaluate transient handling
Low amplitude triangle pulse steer
High amplitude triangle pulse steer
Ramped step steer
Development of robot driven transient test
Limitations of current tests
Test development using DFSS
Develop concept & screening study
Optimize design
P-Diagram & ideal function
Control factors
Input signal
Output signal
Experiment
Data analysis/optimization
Verification and example uses of the RDT testSystems modeling for product designLiterature review
MA and its application to collaborative design
Proposed framework for collaborative design
Pseudo Code
Forearm crutch design
Design problem formulation
Design agent for strength decision
Implementation
Results and analysisDynamic fuzzy systems modeling
Introduction – decision support systems, uncertainties
Decision support systems
Uncertainty
Fuzziness
The fuzzy set specifications
Information type I: Sample of very small size
Information type II: Linguistic assessment
Information type III: Single uncertain measured value
Information type IV: Knowledge based on experience
Stochastic-fuzzy models
Applications
The development model
The Optimization of the Fuzzy-Stochastic Development Model
Urban transit systems under uncertainty
Water resources management under uncertainty
Energy planning and management under uncertainty
Conclusions