K.M. Corker, Ph.D.Industrial & Systems Engineering System Engineering ISE 222 Spring 2005 Notes & Course Materials [email protected].

K.M. Corker, Ph.D. Industrial & Systems Engineering

System Engineering ISE 222 Spring 2005

Notes & Course Materials www.engr.sjsu.edu/kcorker

[email protected]

Kevin Corker

San Jose State University

1/18/05


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


What do I do?

• Computational Models of Human System Performance

• System Safety & Security Analyses

• Cognitive Modeling

• Development of Joint Cognitive Systems


Run-time Display - Co-pilot - GUI


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


What Will We Learn???

• Systems Engineering Methods & Tools

• Systems Engineering Life-cycle Process

• Systems Engineering Management


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


• 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



• 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.



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


Steps and Phases

Formulation

Analysis

Interpretation


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





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


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


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


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


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?


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


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)


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


What is a System Life Cycle

• System Planning and Marketing• Research Development Testing

and Evaluation • System Acquisition & Deployment

& Production


What are criteria for System Quality ??

• Efficient & Effective in – Production– Use– Maintenance– Retrofit

• Other Criteria??


System Life-Cycle

Formulation

Analysis

Interpretation

System Definition

Formulation

Analysis

Interpretation

System Development

Formulation

Analysis

Interpretation

System Deployment


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



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?

K.M. Corker, Ph.D.Industrial & Systems Engineering System Engineering ISE 222 Spring 2005 Notes & Course Materials [email protected].

Documents

systems large

complex systems

deployment of total

investigation slide

analysis of large

scale large

management technology

scope large