k.m. corker, ph.d.industrial & systems engineering system engineering ise 222 spring 2005 notes...
Post on 20-Dec-2015
218 views
TRANSCRIPT
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
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
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
Run-time Display - Co-pilot - GUI
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
What Will We Learn???
• Systems Engineering Methods & Tools
• Systems Engineering Life-cycle Process
• Systems Engineering Management
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
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
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
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
Steps and Phases
Formulation
Analysis
Interpretation
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
K.M. Corker, Ph.D. Industrial & Systems Engineering
K.M. Corker, Ph.D. Industrial & Systems Engineering
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
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
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
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
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?
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
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)
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
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
What are criteria for System Quality ??
• Efficient & Effective in – Production– Use– Maintenance– Retrofit
• Other Criteria??
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
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
K.M. Corker, Ph.D. Industrial & Systems Engineering
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?