k.m. corker, ph.d.industrial & systems engineering system engineering ise 222 spring 2005 notes...
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K.M. Corker, Ph.D. Industrial & Systems Engineering
System Engineering ISE 222 Spring 2005
Notes & Course Materials www.engr.sjsu.edu/kcorker
Kevin Corker
San Jose State University
1/18/05
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Who Am I? & Why Should I be Teaching This?
• Currently: Prof in ISE & Associate Dean For Research • Education: Joint PhD in Engineering Systems and Cognitive
Psychology: UCLA • Past Work :
– 15 years NASA (Ames, JPL & HQ) Aerospace Systems Research Director.
• Manage B R&T Programs , Aerospace advanced Technology Program , managed government procurement
– 8 Years BBN Laboratories Research Fellow and Systems Program Manager
• Large scale battle management simulation & training (SIMNET)• Initial DARPA support for Associate Technology Programs (Pilot’s
Associate, Crew Chief, Rotorcraft Pilot Associate • Navy CINCPACFLT war gaming systems
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What do I do?
• Computational Models of Human System Performance
• System Safety & Security Analyses
• Cognitive Modeling
• Development of Joint Cognitive Systems
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Run-time Display - Co-pilot - GUI
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Human Performance Model
Symbolic Operator ModelWorld Representation
EnvironmentCultural Features& Other Objects
Vehicle
CockpitEquipmentRepresentation
PhysicalFunctional
Aerodynamics
GuidanceTerrainDatabase
Perception
Attention
Vision Audition
Motor
AnthropPending
Current
WorkingGoalsSuspended
Postponed
WorkingMemory
PhonologicalLoop
Visuo-spatialScratchpad
Domain Knowledge
Scheduler
Equipment
Daemons
Activities
MIDAS Structures
UWRProbabilistic interrupts
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What Will We Learn???
• Systems Engineering Methods & Tools
• Systems Engineering Life-cycle Process
• Systems Engineering Management
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Definitions of System Engineering
• Structure: management technology to assist in the formulation, analysis and interpretation of the impacts of proposed policy, controls, and systems on the needs, institution and values under investigation
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K.M. Corker, Ph.D. Industrial & Systems Engineering
• Function: Methods and Tools – to support analysis of large-
scale, dynamic and complex systems,
– to support process-oriented management practice and
– to provide effective & efficient trade offs among alternatives
Definitions of System Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
• Purpose: For engaging in system engineering
• To develop information and knowledge organization
• To support definition, development and deployment of total systems
• to assure integration and high quality relative to reliability, availability, maintainability, operability … ilities.
Definitions of System Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Systems Engineering Functions
• Formulation of the System – Needs to be fulfilled– Requirements & Objectives– Constraints and Degrees of Freedom – Alternatives to above
• Analysis– Determine the impact of varied alternative courses
of action • Determine the course of least constraint• Determine the risk mitigation strategy
• Interpretation of Analysis– Rank Order, Bias & Uncertainty Assessment
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Steps and Phases
Formulation
Analysis
Interpretation
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What are the Functions Applied To??
• Design, Develop, Deploy Systems – Large in Scale– Large in Scope– Large in Range of Impact
• System Types– Physical Systems– Human & Organizational Systems– Enterprise Systems– Information Systems
• Systems of Systems • Aerospace examples
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K.M. Corker, Ph.D. Industrial & Systems Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What is a System?• Group of Components that work
together for a purpose– Service– Product– Process
• Attributes: discernable manifestations of the components
• Relationships are links between Components & Attributes
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Components Properties
• Properties & Behavior of each Component has an influence on the properties & behavior of the set as a whole
• Properties & Behaviors of each component of the set depends on the properties & behaviors of at least one other component
• Each possible subset of the components has the two properties listed above: I.E. the components cannot be divided into independent subsets
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K.M. Corker, Ph.D. Industrial & Systems Engineering
When you decompose what do you get??
• Components – Structural: Static Elements of a System– Operating: Perform Processing – Flow: Materials and energy or information
being altered by system operations
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Relational View (as opposed to System View )
• Relations exist between component pairs (though many pairs may share relations)
• Relation is formed from the imminent qualities of the components (e.g. their essential characteristics) System is s on physical, temporal and spatial arrangement of components
• Relations imply direct interactions . Systems are defined by the common reference to the entire set of components
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Extra thoughts
• Relationship orders:– First order: functionally necessary – symbiosis– Second Order: Synergistic (relationship adds to
the system performance) – Redundancy replication for purpose of system
continuation– Do redundant systems contain more or less
information than non-redundant systems?
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K.M. Corker, Ph.D. Industrial & Systems Engineering
How can system be known??
• State of a System – Collection of variables that describe a system
from a perspective and at specific time – Variation in perspective – Variation in temporal resolution
• System Engineering Knowledge– Principles– Practices– Perspectives
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Extra Thoughts: How can system be known??
• Thought then has objective validity because it is not fundamentally different from the objective reality but is specially suited for the imitation of it.
• The fundamental nature of neural machinery lies in its power to parallel or model external events.
• KJW Craik The Nature of Explanation (Cambridge, 1952)
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K.M. Corker, Ph.D. Industrial & Systems Engineering
How is a System Understood ??
• Decomposition • Analysis • Aggregation • More than the sum of its parts
– Emergent– Self-organizing– Entropic and Enthalpic
The thermodynamic function of a system is equivalent to the sum of the internal energy of the system plus the product of its volume multiplied by the pressure exerted on it by its surroundings
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What is a System Life Cycle
• System Planning and Marketing• Research Development Testing
and Evaluation • System Acquisition & Deployment
& Production
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K.M. Corker, Ph.D. Industrial & Systems Engineering
What are criteria for System Quality ??
• Efficient & Effective in – Production– Use– Maintenance– Retrofit
• Other Criteria??
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K.M. Corker, Ph.D. Industrial & Systems Engineering
System Life-Cycle
Formulation
Analysis
Interpretation
System Definition
Formulation
Analysis
Interpretation
System Development
Formulation
Analysis
Interpretation
System Deployment
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K.M. Corker, Ph.D. Industrial & Systems Engineering
VV
User Requirements & System Specification
Operation & Maintenance & Retrofit
Detailed System Design
Customer Perspective– Purposeful Enterprise Architecture
Preliminary Conceptual Design
Integrate & Test
Functional Architecture Perspective
Verification & Test Modules
System Production
System Developer Perspective
System Production Perspective
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K.M. Corker, Ph.D. Industrial & Systems Engineering
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K.M. Corker, Ph.D. Industrial & Systems Engineering
Course Project
• Formulation of the System – Needs to be fulfilled– Requirements & Objectives– Constraints and Degrees of Freedom – Alternatives to above
• System Definition & Identification Process– What is your system?– What is its purpose?– What are its Components (structural operating & flow),
Attributes and Relationships?– What are the attributes that define its state?