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Aerospace Systems Engineering as an Integrating Function for the Georgia Tech Graduate Program in Aerospace Systems Design. Dr. Daniel P. Schrage Professor and Director Center of Excellence in Rotorcraft Technology (CERT) Center for Aerospace Systems Analysis (CASA). Presentation Outline.

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Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Aerospace Systems Engineeringas an Integrating Functionfor the Georgia Tech Graduate Program in Aerospace Systems Design

Dr. Daniel P. Schrage

Professor and Director

Center of Excellence in Rotorcraft Technology (CERT)

Center for Aerospace Systems Analysis (CASA)


Presentation outline

Presentation Outline

  • Overview of the Graduate Program Aerospace Systems Design Program

  • The Evolution from an IPPD to an IPPD through RDS to a Modern Aerospace Systems Engineering Approach

  • Description of the Graduate Course in Aerospace Systems Engineering

  • Opportunities for Collaboration with the School of ISYE


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Georgia Tech School of AE

  • School of Aerospace Engineering

    • One of original six Guggenheim Schools of Aeronautics

    • 34 full time faculty

    • ~600-700 undergraduate students (AE majors)

    • ~250 -300 graduate students

    • Highest Rated Public Aerospace School (Overall: UG – 2nd to MIT;GR-3rd to MIT & Stanford, U.S. News & World Report)

  • Six Disciplinary Groups (Full A.E. School)

• Aerodynamics and Fluid Mechanics

• Structural Mechanics and Materials

• Propulsion and Combustion

• Flight Mechanics and Controls

• Structural Dynamics and Aeroelasticity

• System Design and Optimization


Graduate program in aerospace systems design

Includes core and elective courses to:

Provide a Practice-oriented M.S. Program

Provide a Integrated-Discovery Focused Ph.D program

Includes a combination of disciplinary, methods and synthesis courses for System Design of Complex Systems:

Aircraft and Rotorcraft

Missiles and Space

System of Systems: Army/DARPA FCS; FAA/NASA NAS

Integrates Research and Education

Two active research laboratories, ASDL and SSDL

Approx. 100 students (~80 supported)

Approx. 15 research engineers

Uses an IPPD through RDS Approach and a modern Aerospace Systems Engineering Course as an Integrating Function for the Program

Graduate Program in Aerospace Systems Design


Evolution of the georgia tech aerospace systems design program

Graduate Program Development

‘84 - Graduate Rotorcraft Design Program Established

‘89 - Intro to Concurrent Engineering (CE) & Design for LCC courses

‘92 - Graduate, CE/IPPD Fixed-Wing Design Program Established w/ NASA’s USRA

‘94- NASA MDA Fellowship Grant and New Approaches to MDO Grant

‘95-’96 Space Systems Design Laboratory (SSDL) Established

‘97- NRTC Center of Excellence Renewal

‘98- Center for Aerospace Systems Analysis (CASA) Initiated

‘99- Boeing Awards GTAE/CASA Faculty Chair in Aerospace Systems Analysis

’00 GEAE USA

‘94

CE/IPPD

Focus: Affordable Aerospace Systems Design Methodology; ASDL Estab.

‘95

RSM for

Advanced Synthesis

Focus: Pioneering Research into Response Surface Methodology (RSM) for advanced sizing/synthesis

Focus: Addressing Economic Uncertainty & Viability results in Robust Design Simulation

‘96

RDS

Aero +

Structures

Focus: Efficient Probabilistic Analysis through Fast Probability Integration (FPI)

‘97

FPI

Probabilistic Feasibility AND Viability

‘98

• Morphological Matrices

• Pugh Diagram

CASA

FLOPS-IMAGE-RSE Interface developed

y2

Focus: Systems & System

of Systems Analysis for

Complex Systems and

Movement toward a Modern

Approach to Systems Engineering

y1

yn

FPI

Customer

Requirements

Feasible

Solution

 $/RPM

Probability

Sizing

Desired

Solution

Econ.

Establish

the Need

$/RPM

Target

Baseline

Mean

x1

xn

x2

Evolution of the Georgia Tech Aerospace Systems Design Program


Why it is unique

Is the Only Formal Graduate Aerospace Systems Design Program in the U.S., and probably throughout the world

Addresses the System Design of Complex Systems (Not Conceptual Design) utilizing a Generic IPPD Methodology, as a modern approach for Systems Engineering

Provides an engineering approach to Risk Based Management through Robust Design Simulation (RDS) environment for Implementing the IPPD Methodology at the “Front End” that can be continued for Process Improvement and Merging with Six Sigma methods

Provides a practical way of incorporating “lean” and other initiatives into the front end of a complex system’s life cycle

Has spun off various methods, tools, and techniques from this IPPD through RDS approach for a variety of customers

Have moved to address “System of Systems” problems such as FCS and air transportation architectures for the NAS

Why it is Unique?


Who are the primary supporting faculty

School of A.E.:Primary Faculty

Dr. Dimitri Mavris, Director of ASDL and Boeing Chair Professor in Advanced Aerospace Systems Analysis

Dr. John Olds, Associate Professor and Director of SSDL

Dr. Jim Craig, Professor and Co-Director of CASA

Dr. Dan Schrage, Professor and Director, CASA & CERT

Two recruitments: Lewis Chair in Space Systems Technologies; Junior Faculty in Design Methodology & Tools

Supporting Faculty: Dr. Amy Pritchett (AE/ISYE), Dr. Eric Johnson, & Dr. JVR Prasad

Some Participation from the School of M.E.

Dr. Farokh Mistree, Professor and Director of SRL

Dr. Bob Fulton, Professor

Some Participation from the School of E.C.E

Dr. George Vachtsevanous, Professor and Director of the Intelligent Control Laboratory

Who are the Primary & Supporting Faculty?


Overview of center for aerospace systems analysis casa

Established in1998 based on successful development of the ASDL from 1992 and the successful development of the SSDL from 1995; Serves as oversight for these labs

Through its laboratories provides the primary research support to the graduate program in Aerospace Systems Design which currently has ~ 100 students of which over 80 % are U.S. citizens

Research support provides over $5M per year in sponsored research and supports ~ 80 students & 15 research engineers

Provides a modern approach to systems engineering based on an Integrated Product/Process Development (IPPD) methodology executed through Robust Design Simulation(RDS)

Overview of Center for Aerospace Systems Analysis (CASA)


Why systems analysis

Why Systems Analysis?

  • Systems Analysis is a scientific process, or methodology, which can best be described in terms of its salient problem-related elements. The process involves:

    • Systematic examination and comparison of those alternative actions which are related to the accomplishment of desired objectives

    • Comparison of alternatives on the basis of the costs and the benefits associated with each alternative

    • Explicit consideration of risk

  • NASA, DoD, and Industry are realizing that more emphasis must be placing on enhancing systems analysis at the front end of the life cycle using modern systems engineering approaches


Casa s laboratories

CASA’s Laboratories

Space Systems Design Lab

www.ssdl.gatech.edu

Aerospace Systems Design Lab

www.asdl.gatech.edu

Flight Sim Lab

B.S.A.E. - M.S. - Ph.D Degrees

Design, Build, Fly Lab

Design Frameworks Lab

Uninhabited Aerial Vehicle

Research Facility

IPERT Lab


An integration and practice oriented m s program in aerospace systems design

An Integration and Practice-Oriented M.S.Program in Aerospace Systems Design

Semester I

Semester II

Summer

ISE/PLMC

Development

Design Methods/Techniques

Aerospace

Propulsion

Disciplinary

Systems

Electives

Systems

Engineering

Design

Special

Project

Applied

Applied

Systems

Systems

Design I

Design II

Design I

Design II

Safety

By Design

Modern

Modern

Product

Design

Design

Life Cycle

Methods I

Methods II

Management

Internship

Design Tools/Infrastructure

Mathematics (2 Required)

Other Electives

Legend:

Core Classes

Elective Classes


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Aerospace Systems

Design Laboratory

Classroom Implementation

Aerospace Systems Design Education & Research Philosophy

Industry

Government

Relevant

Problems

Partners:

GEAE

RRA

LMTAS

Boeing

Sikorsky

Partners:

ONR

NASA

AFRL

NRTC

  • Methods Formulation

  • Supports Basic Research

  • Implementation of Methods

Data & Tools

Funding

Funding

Methods

Students


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

A paradigm shiftis underway that attempts to change the way complex systems are being designed

Emphasis has shifted from design for performance to design for affordability, where affordability is defined as the ratio of system effectiveness to system cost +profit

System Cost - Performance Tradeoffs must be accommodated early

Downstream knowledge must be brought back to the early phases of design for system level tradeoffs

The design Freedom curve must be kept open until knowledgeable tradeoffs can be made

Design Process Paradigm Shift(Research Opportunities in Engineering Design, NSF Strategic Planning Workshop Final Report, April 1996)


What is ippd

Integrated Product/Process Development (IPPD) is a management methodology that incorporates a systematic approach to the early integration and concurrent application of all the disciplines that play a part throughout a system’s life cycle (Technology for Affordability: A Report on the Activities of the Working Groups to the Industry Affordability Executive Committee, The National Center for Advanced Technologies (NCAT), January 1994)

IPPD evolved out of the commercial sector’s assessment of what it took to be world class competitive in the 1980s

The DoD has required IPPD and the use of IPTs where practical throughout the DoD Acquisition Process for Major Systems (DoD 5000.2R)

Conduct of IPPD requires Product/Process Simulation using Probabilistic Approaches

What is IPPD?


Quality revolution where competition is today

Cost Advantage

Cheap Labor

Hi Volume, Lo Mix Production

Quality

Statistical Process Control

Variability reduction

Customer Satisfaction

Time-to-Market

Cycle time Comparison (JIT)

Integrated Product/Process Development

Product/Process Simulation

Hi Skill adaptable Workforce

Manufacturing

Enterprise

Flexibility

Product Variety

Cost Independent of Volume

Agility

Commercial/Military Integration

Virtual Companies

Company Goodness

Environment

1960

1970

1980

1990

2000

Quality Revolution - Where Competition is Today

NCAT Report, 1994


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Japanese Auto Industry Made Changes Earlier Than U.S. Auto Industry


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Concurrent vs Serial Approach


Traditional design development using only a top down decomposition systems engineering process

Traditional Design & Development Using only a Top Down Decomposition Systems Engineering Process


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

CONCEPTUAL

DESIGN

(SYSTEM)

SYSTEM

SYSTEM

PROCESS

FUNCTIONAL

RECOMPOSITION

DECOMPOSITION

Product

Process

Trades

Trades

PRELIMINARY

PRELIMINARY

DESIGN

DESIGN

(PARAMETER)

(PARAMETER)

INTEGRATED

PRODUCT

COMPONENT

COMPONENT

Process

Product

PROCESS

FUNCTIONAL

PROCESS

Trades

Trades

RECOMPOSITION

DECOMPOSITION

DEVELOPMENT

DETAIL

DETAIL

DESIGN

DESIGN

(TOLERANCE)

(TOLERANCE)

Process

Product

Trades

Trades

PART

PART

PROCESS

FUNCTIONAL

RECOMPOSITION

DECOMPOSITION

MANUFACTURING

PROCESSES

IPPD Requires the Computer Integration of Product and Process Models and

Tools for System Level Design Trades and Cycle Time Reduction


Integrated product and process development modeling flow aircraft example

MULTI-LEVEL LCC MODEL

Process Recomposition

ENGINEERING MODELS

Product Decomposition

re-design

decision

Top-Down Aircraft

LCC Model

Aircraft

Synthesis

(Sizing)

cust. requirements

cost model

cost

metrics

performance

metrics

perf. requirements

req’d inputs

wing

planform

geometry

Integrated

Design

Environment

bottom-up

wing cost

estimate

Finite

Element

Analysis

labor rates

Component

Cost Modeling

materials

product

metrics

process

metrics

learning curves

loads

weights

labor hours

material costs

KBS

Process

Modeling

structural concepts

alternative processes

Integrated Product and Process Development Modeling Flow (Aircraft Example)


Hsct integrated design manufacturing ph d thesis w marx 1997

Representative structure at each location

upper and lower panels

rib and spar structure

Aft wing box

variable chordwise load

intensities due to wing bending

high spanwise load intensities

Wing tip box

stiffness critical due to

aeroelastic effects

high load intensities

Forward wing box

low load intensities with respect to

wing bending

minimum gage region

HSCT Integrated Design & Manufacturing Ph.D Thesis (W. Marx, 1997)

Wing Point Design Regions

William J. Marx


Aircraft life cycle cost analysis alcca including economic analysis

AIRLINE

PAYMENT SCHEDULE

PRODUCTION

SCHEDULE

AIRCRAFT

WEIGHTS

ENGINE

RDT & E

THRUST & WGHT.

COSTS

LABOR

MANUFACTURER

AIRCRAFT

MANUFACTURER

CALCULATE

YES

ROI

PRICE

RATES

UNIT

VS

MANUFACTURER

MANUFACTURING

CASH-FLOW

COSTS

CASH-FLOW

PRODUCTION

COSTS

ROI

QUANTITY

AVERAGE

LEARNING

COST

CURVES

NO

AIRCRAFT MISSION

P

r

o

d

u

c

t

i

o

n

A

i

r

l

i

n

e

PERFORMANCE

Y

i

e

l

d

Q

u

a

n

t

i

t

y

FUEL, INSURANCE

AIRLINE

R

O

I

DEPRECIATION RATES

OPERATING

LABOR & BURDEN

COST

RATES

P

R

I

C

E

TAX RATE

COSTS

INDIRECT

DIRECT

REVENUE

COSTS

AIRLINE

AIRLINE

YES

CALCULATE

ROI

PRICE

RETURN ON

VS

AIRLINE ROI

INVESTMENT

NO

ACQUISITION

PREPAYMENT

TOTAL

SCHEDULE

& DEPR. SCHEDS

OPERATING

COST

Aircraft Life Cycle Cost Analysis (ALCCA) - including Economic Analysis


Aircraft process based manufacturing cost model

Previous Mfg

Cost Module

Component Weights

Engine Thrust and Weight

Labor Rates

Production Quantity

Learning Curves

Aircraft

Manufacturing

Costs

Component Costs

Unit Costs

RDT&E Costs

Avg. Costs

Manufacturing Hours

Quality Assurance Hours

Tooling Hours

(Raw Material Costs)

(Buy-To-Fly Ratios)

Material Costs

Material Breakdown

Mfg. Labor Rate

Qual.Assur. Labor Rate

Material Burden Rates

Mfg. Labor L. Curve

QA Labor L. Curve

Tooling L. Curve

Material L. Curve

from

CLIPS

New

ALCCA

output

New Wing Production Module

Aircraft Manufacturing Costs

Wing TFUC

Manufacturing Hours & Cost

Quality Assur. Hours & Cost

Tooling Hours & Cost

Material Costs

Cost/Time Analysis

new

ALCCA

input

Wing

Production

PBC

Module

Theoretical

First Unit

Cost

Component

Weights

Engine Thrust

Component Costs

Unit Costs

Non-Recurring

& Recurring

Production

Labor Rates

Production Quantity

Learning Curves

RDT&E Costs

Average Unit Costs

Aircraft Process Based Manufacturing Cost Model


Cost time analysis for theoretical production

Cumul. time

Cost/Time Curve

End Points for Wide

Range of Projected

Lot Sizes

Finishing

Operations

Largest Run

Production

Theoretical First Unit Cost

(TFUC)

Setup

Smallest Run

Design

Tools

Cost / Unit

Purchase

Material

Material Cost

Setup

Cost

Tool Design Cost

Finishing Operations Cost

Smallest Run

Production Cost Largest Run

Finishing Operations Cost Largest Run

[Source: MIL-HDBK-727]

Production Cost Smallest Run

Cost Time Analysis for Theoretical Production


Cost time constraint curve for candidate selection

Cost/Time Curve

Process A

End Point

Process E

Process B

End Point

Process C

End Point

TIME

Process D

End Point

UNIT COST

Cost/Time Constraint Curve for Candidate Selection

[Ref. MIL-HDBK-727]


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Probabilistic Cost/Time Production Analysis

Cumul. time

Cost/Time Curve

End Points for Wide

Range of Projected

Lot Sizes

Finishing

Operations

Largest Run

Production

Theoretical First Unit Cost

(TFUC)

Setup

Smallest Run

Design

Tools

Cost / Unit

Purchase

Material

Material Cost

Setup

Cost

Tool Design Cost

Finishing Operations Cost

Smallest Run

Production Cost Largest Run

Finishing Operations Cost Largest Run

Production Cost Smallest Run

[Ref. MIL-HDBK-727]


Georgia tech generic ippd methodology

Methodology provides a procedural design (trade-off iteration) approach based on four key elements:

Systems Engineering Methods and Tools(Product design driven, deterministic, decomposition approaches; MDO is usually based on analytic design approach)

Quality Engineering Methods and Tools(Process design driven, nondeterministic, recomposition approaches; MDO is usually based on experimental design approach)

Top Down Design Decision Process Flow (Provides the design trade-off process)

Computer Integrated Design Environment(Information Technology driven)

Methodology has been implemented through Robust Design Simulation (RDS) for a number of applications

Georgia Tech Generic IPPD Methodology


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Georgia Tech Generic IPPD Methodology


The systems engineering process

The Systems Engineering Process

  • Process Input

  • Customer Needs/Objectives/ Requirements

  • - Missions

  • - Measures of Effectiveness

  • - Environments

  • - Constraints

  • Technology Base

  • Output Requirements from Prior Development Effort

  • Program Decision Requirements

  • Requirements Applied Through

  • Specifications and Standards

System Analysis

& Control

(Balance)

  • Requirements Analysis

  • Analyze Missions & Environments

  • Identify Functional Requirements

  • Define/Refine Performance & Design

  • Constraint Requirement

  • Trade-Off Studies

  • Effectiveness Analysis

  • Risk Management

  • Configuration Management

  • Interface Management

  • Performance Measurement

  • - SEMS

  • - TPM

  • - Technical Reviews

Requirement Loop

  • Functional Analysis/Allocation

  • Decompose to Lower-Level Functions

  • Allocate Performance & Other Limiting Requirements to

  • All Functional Levels

  • Define/Refine Functional Interfaces (Internal/External)

  • Define/Refine/Integrate Functional Architecture

Design Loop

  • Synthesis

  • Transform Architectures (Functional to Physical)

  • Define Alternative System Concepts, Configuration

  • Items & System Elements

  • Select Preferred Product & Process Solutions

  • Define/Refine Physical Interfaces (Internal/External)

Verification

Related Terms:

Customer = Organization responsible for Primary Functions

Primary Functions = Development, Production/Construction, Verification,

Deployment, Operations, Support Training, Disposal

Systems Elements = Hardware, Software, Personnel, Facilities, Data, Material,

Services, Techniques

  • Process Output

  • Development Level Dependant

  • - Decision Data Base

  • - System/Configuration Item

  • Architecture

  • - Specification & Baseline


Modeling and simulation varying fidelity of synthesis and sizing

Geometry

Mission

Modeling and Simulation:Varying Fidelity of Synthesis and Sizing

Safety

Safety

Economics

Aerodynamics

Aerodynamics

Economics

S

ynthesis & Sizing

S&C

Manufacturing

Manufacturing

S&C

Integrated Routines

Table Lookup

Increasing

Sophistication and

Structures

Complexity

Performance

Conceptual Design Tools

(

First-Order Methods)

Approximating Functions

Direct Coupling of Analyses

Propulsion

Structures

Performance

Preliminary Design Tools

(

Higher-Order Methods)

Propulsion


The quality engineering process provides recomposition methods tools

The Quality Engineering Process provides Recomposition Methods & Tools

Knowledge Feedback

Seven

Management

and Planing

Tools

Off-Line

Quality

Function

Deployment

Off-Line

Robust

Design Methods

(Taguchi, Six -

Sigma, DOE)

Off-Line

Statistical

Process

Control

On-Line

Customer

  • Identify Important Items

  • Variation Experiments

  • Make Improvements

  • Hold Gains

  • Continuous Improvement

  • Needs

Having heard the “voice of the customer”, QFD prioritizes where improvements are needed; Taguchi provides the mechanism for identifying these improvements


Cove collaborative visualization environment for complex systems design

CoVE: Collaborative Visualization Environment for Complex Systems Design

Funded by the

Defense University Research Instrumentation Program (DURIP)

February 2003


Cove objectives

CoVE Objectives

  • A semi-immersive, very high resolution, Collaborative Visualization Environment (CoVE).

  • Used to investigate the use of semi-immersive virtual environments in collaborative design processes.

  • Basic concept for the CoVE is a large, high resolution display wall similar to those developed for media companies and operations centers.

  • It will allow us to apply emerging probabilistic design methods to problems at an industrial scale.

  • It is expected to promote new research in design, visualization and usability with other leading centers on campus.


Cove features

CoVE Features

  • A single CoVE with a 25 M-pixel resolution curved data wall measuring 20 ft wide by 12 ft tall.

  • Seating for up to 12 participants, each with their own computers and local displays.

  • The basic design will be configured so that it can be used with another CoVE to execute distributed collaborative design with another team at a remote location.

  • The CoVE will include both single person and group video conferencing capabilities.

  • Project budget: $630k


Examples

Examples


Examples1

Examples


Example asdl application

Example ASDL Application

Unified Trade-off Environment

Morphological Matrix

QFD

Mission Profile

Constraint Analysis

Video Conference

Technology Impact Matrix

RAM Model

Technology Profiles

JPDM

CDF

CFD Visualization


Weber 2 nd floor site

Weber 2nd Floor Site

Operations

Video Conferencing

Observers

Data Wall

Participants


Cove tentative schedule

CoVE Tentative Schedule

  • Award announcement:February 2003

  • Final specifications:April 2003

  • Site preparations:May 2003

  • Construction & Installation:July 2003

  • Testing:September 2003

  • Acceptance:October 2003


Aerospace systems engineering course ae 6370

Aerospace Systems Engineering Course: AE 6370

  • Introduces new graduate students to Aerospace Systems Engineering and a methodology for Implementing it through IPPD through Robust Design Simulation (RDS)

  • Consists of covering traditional systems engineering methods and tools; introduces quality engineering methods and tools; introduces multi-attribute decision methods; and introduces the need for a computer integrated environment

  • Course consists of a mid-term exam and team projects (~5 students per team) addressing the concept formulation for complex systems or system of systems

  • Utilizes a simple set of integrated tools to allow the teams to conduct the first iteration through a complex system design

  • Will be offered as a distance learning course for the first time in Fall 2003


Aerospace systems engineering taught using an integrated set of tools

Aerospace Systems Engineering Taught using an Integrated Set of Tools


Ten complex system formulation projects from ae6370 fall 2002

Ten Complex System Formulation Projects from AE6370, Fall 2002

  • AIAA Graduate Student Missile Design Competition: “Future Target Delivery System(Missile Multipurpose Target”

  • RFP for a “High Firepower Payload for Missile Defense (Missile Interceptor)

  • NASA Sponsored University Competition for the “Conceptual Design of a Titan (Saturn’s largest moon) Vertical Lift Aerial Vehicle”

  • AHS/NASA Student Design Competition for “VTOL Urban Disaster Response Vehicle”

  • NASA “Personal Air Vehicle Evaluation Program: to identify VTOL and ESTOL Concepts”

  • RFP for a “Quiet Supersonic Business Jet” in conjunction with Gulfstream Aerospace Company

  • DoD Potential Joint Program for an “Air Maneuver & Transport Concepts for the Objective Force”

  • AIAA Student Competition for “Subsonic Commercial QuEST”

  • AUVS International Aerial Robotics Competition and DARPA Project: “Intelligent Uninhabited Aerial Vehicle (UAV) using Software Enabled Control (SEC)”

  • Army Aviation Recapitalization Program: “Technology and Risk Assessment for the Army’s UH-60M Helicopter Improvement Program”


What is ippd through rds

Integrated Product/Process Development (IPPD) means applying Concurrent Engineering at the front end of a system’s life cycle where design freedom can be leveraged and product/process design tradeoffs conducted in parallel at the system, component, and part levels

Implementation of IPPD requires moving from a deterministic point design approach to a probabilistic family design approach to keep the design space open and from committing life cycle cost before the system life cycle design trade-offs can be made

Robust Design Simulation (RDS) provides the necessary simulation and modeling environment for executing IPPD at the System level

Continuation of RDS along the system life cycle implies the creation of a Virtual Stochastic Life Cycle Design Environment

An Overall Evaluation Criterion (OEC) based on System Affordability should be identified early and its variability tracked along the life cycle time line

What is IPPD Through RDS


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Roadmap to Affordability Through RDS

Robust Design Simulation

Subject to

Robust Solutions

Design & Environmental Constraints

Technology Infusion

Physics-Based Modeling

Activity and Process-Based Modeling

Objectives:

Schedule

Budget

Reduce LCC

Increase Affordability

Increase Reliability

. . . . .

Economic Life-Cycle Analysis

Synthesis & Sizing

Operational Environment

Simulation

Impact of New Technologies-Performance & Schedule Risk

Economic & Discipline Uncertainties

Customer

Satisfaction


Interactive rds environment

FPI / MC

Interactive RDS Environment


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

CONCEPT

VALIDATION

FULL

SCALE

DEVELOPMENT

PRODUCTION

DEVELOPMENT

Risk & Uncertainty are Greatest at the Front

KNOWNS

KNOWN-UNKNOWNS

UNKNOWN-UNKNOWNS


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

Coninuous RDS along the System Life Cycle to link the

“fuzzy front end” to the “process capability approaches”

Bring the Development Process

Approach Six-Sigma,

Under Control, C

= 1

Define Distributions

1 < C

< 2

p

p

Six-Sigma Achieved,

C

= 2

p

Continuous Product Improvement / Innovation

Uncertainty

Risk Management/Reduction

Overall

Fuzzy Front End

Evaluation

Criterion

Upper Specification

(OEC)

Response

OEC Target

Lower

Specification

System Definition

System Integration

Manufacturing

System Design

&

(Detail/Tolerance)

(On-Line Quality)

(Preliminary/Parameter)

Tech. Development

(Conceptual/System)

Traditional C

and C

Approach for Continuous, On-line Process Improvement

p

p

k

Overall

Upper Specification

Evaluation

Criterion

(OEC)

Response

OEC Target

Lower

Specification

Initial Distribution

Reduced Variability and Improved Mean Response

Time


Dr daniel p schrage professor and director center of excellence in rotorcraft technology cert

The VSLCDE- Key Characteristics

The purpose of VSLCDE is to facilitate design decision- making over time (at any level of the organization) in the presence of uncertainty, allowing affordable solutions to be reached with adequate confidence. It is a research testbed.

  • Virtual . . . Simulation-based system life-cycle prediction

  • Stochastic . . . Time-varying uncertainty is modeled; temporal decision-making

  • Life-Cycle . . . the design, engineering development, test, manufacture, flight test, operational simulation, sustainment, and retirement of a system. The operational simulation includes virtual testing, evaluation, certification, and fielding of a vehicle in the existing infrastructure, and tracking of its impact on the economy, market demands, environment.

  • Design . . . Implies that the environment’s main role is to provide knowledge for use by decision-makers, especially for finding robust solutions

  • Environment . . . Implies the support of geographically distributed analyses and people through collaboration tools and data management techniques


Some opportunities for collaboration between the schools of ae and isye

Some Opportunities for Collaboration between the Schools of AE and ISYE

  • Integration of ISYE Logistics with AE Aerospace Systems Design Program for a variety of customers (Industry and Government)

  • With Lockheed Martin on a Modern Systems Engineering Approach (addressing Product Life Cycle tradeoffs from the Outset) based on the Joint Strike Fighter (JSF) Development Approach successes and Lessons Learned (POC: Bill Kessler, LM Lean Enterprise Mgr and Tom Burbage, LM JSF VP)

  • With OSD/DOD/USAF New Focus on Systems Engineering Education and Research

  • With USAF – GT(CEE) Initiative in taking over the Lean Sustainment Initiative from MIT

  • With NASA Langley National Institute of Aerospace (NIA) and with NASA Ames Engineering of Complex Systems (ECS) programs

  • Others?


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