the art of modeling -...

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The Art of Effective Modeling Get Beyond Buzzwords to Results Justin Woulfe Systecon Systecon 1911 N Fort Myer Drive, Arlington, Virginia 22209 The Government's rights to use, modify, reproduce, release, perform, display, or disclose these technical data are restricted by paragraph (b)(3) of the Rights in Technical Data--Noncommercial Items clause contained in the above identified contract. Any reproduction of technical data or portions thereof marked with this legend must also reproduce the markings. Any person, other than the Government, who has been provided access to such data must promptly notify the above named Contractor.

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The Art of Effective Modeling Get Beyond Buzzwords to Results

Justin Woulfe

Systecon

Systecon 1911 N Fort Myer Drive, Arlington, Virginia 22209 The Government's rights to use, modify, reproduce, release, perform, display, or disclose these technical data are restricted by paragraph (b)(3) of the Rights in Technical Data--Noncommercial Items clause contained in the above identified contract. Any reproduction of technical data or portions thereof marked with this legend must also reproduce the markings. Any person, other than the Government, who has been provided access to such data must promptly notify the above named Contractor.

© Systecon 2018, Slide 2

Some basic questions

• What is a model?

• Why do we use models?

• What is a good model?

• How can pitfalls be avoided?

A simplified representation of a system or phenomenon

with any hypotheses required to describe the system or explain the phenomenon.

We use specific models to represent something

in the world for a specific purpose.

A useful model can answer the question

accurately and effectively with high adaptability

We will never get perfect input data The model is not a perfect representation Our understanding of the question is not flawless We have a limited time to answer the question The prerequisites, input, question and answer are moving targets

© Systecon 2018, Slide 3

Iterative approach

Data input

Start early

Limit Complexity

Focus on your task

Gradually Refine Data

Challenge the model

Always learn more

Embrace change

Verify model

Some steps to efficient modeling

Gradually Expand Model

© Systecon 2018, Slide 4

Focus on Task, Underground or Tourism

London

• Let the model complexity be decided by needs

• Less is more & More is not merrier • Not to be confused with ”Avoid

complexity”

Focus on your task

© Systecon 2018, Slide 5

Work iteratively Task

Question

Gather data

Input data

Run the model

Select results

Interpret results

Make recomen

dation

Iterative approach

© Systecon 2018, Slide 6

Modeling Process (SIPOC)

M&A OEM/

PSI IPTs

- Lead modeling data VV&A process

Customers /IPTs

- ADCON/ OPCON ▪ Billeting ▪ COR oversight

- Determine project priority

- Manage data validation process

- Modeling data consolidation

- Facilitate access to stakeholders/ SMEs

- Approve release of final results to customer

Systecon

- Assist AO with defining analysis scope/objective/ GR&As

- Identify data requirements

- Develop model/ complete GR&As

- Communicate timeline - Model Iterations/

Analysis/ Results delivery

- CDRLs delivery

- Identify analysis scope/objective/GR&As

- Address RFIs - Determine results

format requirements - Provide analysis

feedback - Assist with data validation

Systecon

© Systecon 2018, Slide 7

Gradually refine, Focus on the important

Get everything right first OR Gradually

Refine Data

© Systecon 2018, Slide 8

Always learn more

• There are always new things to learn

• There are always new things to understand

• It is important to challenge the results in the model to really understand

• Each iteration will uncover new things that you could learn from

• Involve more people

Always learn more

© Systecon 2018, Slide 9

Verify your model

• The model should be verified to know that it does what you expect

• Important to have confidence in the results

• Many things to look at both in input and results – Compare to real world data

– Compare to similar data

– Check with the opinion of people

– Validate assumptions

Verify your model

© Systecon 2018, Slide 10

Good modeling with Opus Suite

• Start early

• Limit the complexity

• Focus on your task

• Work iteratively

• Gradually refine

• Learn more

• Verify your model

© Systecon 2018, Slide 11

SYSTEMS AND LOGISTICS ENGINEERING FUNDAMENTALS

SYSTEM EFFECTIVENESS – E(T, S; O)

ability to satisfy needs/operational requirements needs analysis why do we need the system?

what need shall the system satisfy? extent/character of the need?

air-to-air combat readiness, volume/intensity

to what extent is the need satisfied?

© Systecon 2018, Slide 12

type, character, volume, profile, environment of operations

SYSTEMS AND LOGISTICS ENGINEERING FUNDAMENTALS

OPERATIONAL CONCEPTS - O

SYSTEM EFFECTIVENESS – E(T, S; O)

ability to satisfy needs/operational requirements

use study

how will we use the technical system(s) in order to satisfy the needs?

operational profiles peacetime/crisis/wartime

© Systecon 2018, Slide 13

SYSTEMS AND LOGISTICS ENGINEERING FUNDAMENTALS

TECHNICAL PERFORMANCE

P(T; O)

OPERATIONAL CONCEPTS - O

SYSTEM EFFECTIVENESS – E(T, S; O)

TECHNICAL SYSTEM – T (decisions regarding technical system design)

ability to satisfy needs/operational requirements

type, character, volume, profile, environment of operations

functional properties

nominal

systems engineering how do we design/specify the technical

components of the system? which, how many and their

technical/functional properties? (speed, range, load-carrying capacity)

Systems Engineering

© Systecon 2018, Slide 14

SYSTEMS AND LOGISTICS ENGINEERING FUNDAMENTALS

TECHNICAL PERFORMANCE

P(T; O)

AVAILABILITY PERFORMANCE

A(T, S; O)

OPERATIONAL CONCEPTS - O

SYSTEM EFFECTIVENESS – E(T, S; O)

TECHNICAL SYSTEM – T (decisions regarding technical system design)

SUPPORT SYSTEM – S (decisions regarding support system design)

ability to satisfy needs/operational requirements

type, character, volume, profile, environment of operations

functional properties

support requirements (RAMS properties)

support response (support system elements)

nominal actual

logistics engineering what are the support requirements

(RAMS prop) of the technical system? and how do we design/specify the

support-related elements of the system? (reliability, spares, maintenance)

Systems Engineering

Logistics Engineering

© Systecon 2018, Slide 16

WHAT IS NEEDED TO SUCCEED? CORNERSTONES FOR SUCCESSFUL LCM

• management strategy

– what activities are needed to support management objective (in different phases)

– plan, process

• information management

– knowledge of the system (T, S; O)

– capture the alternatives (variable detail dependent on phase)

– monitor status and performance (cost/effectiveness)

• analysis capability

– understand and assess consequence, cost/effectiveness, of alternative design

– optimize and improve design/system

– supported by adequate methods, models and tools

MANAGEMENT

INFORMATION

• Management commitment

• LCM is part of fundamental values

• LCM compliant policy, standards and practices established

• Describe systems, operations and support

• Updated and validated over time

• Monitor cost and performance

ANALYSIS • Optimize and improve

• Predict and understand consequences on cost and effectiveness

• Adequate methods, models and tools

THE OPTIMUM

© Systecon 2018, Slide 17

LCM analysis capability

STRATEGIC QUESTIONS AND ANSWERS ILLUSTRATION

• over time manage the system so as to ensure/reach primary objective

– maximum system effectiveness at minimum cost

• system performance (cost/effectiveness)

– take corrective action to improve

retirement

• type/quantity of products needed?

– high-level requirements specification

• what products shall we choose?

– LCC-based acquisition

• what support-related resources are required?

– spares/resource procurement

conceptual design

development production

acquisition operations and

support

© Systecon 2018, Slide 18

CLOSING THE LOOP THROUGH COST/EFFECTIVENESS ANALYSIS – DESIGN PHASES

SUPPORT SYSTEM – S (design revision/version)

TECHNICAL SYSTEM – T (design revision/version)

support requirements

(RAMS, MTBM, MTTM)

LOGISTIC SUPPORT ANALYSIS

LORA Reliability Analysis

RCM MTA FMECA Maintain. Analysis

Testability Analysis

LOGISTIC SUPPORT ELEMENTS

PHS&T Facilities Personnel Training Maintenance Support and

Test Equipment Documentation

Supply Support

CO

ST AN

ALY

SIS

ite

rati

on

s, in

flu

en

ce, t

rad

e-o

ffs

OP

ERA

TIO

NA

L C

ON

CEP

TS

- O

EFFECTIV

ENESS A

NA

LYSIS

© Systecon 2018, Slide 19

EXAMPLE OUTPUTS (FORMAT ONLY)

© Systecon 2018, Slide 20

Spares & Manpower Optimized

© Systecon 2018, Slide 21

Air Vehicle Availability

mmm nnnn

AVA 61.80% 56.43%

NMCS-AVA 16.28% 19.89%

NMCM-AVA 13.71% 16.05%

Non-Possessed 8.21% 7.63%

0%

10%

20%

30%

40%

50%

60%

70%

NMCS-AVA

AVA

NMCM-AVA

Non-Possessed

© Systecon 2018, Slide 22

xxx Flight Hours

F-35 B Joint AVA = xxx %

201x Planned Annual Utilization:

47.70%

26.58%

22.57% 3.15%

AVA NMCS-AVA NMCM-AVA Non-Possessed

Air Vehicle Availability (AVA) Service F-35 x – Base

μ +σ -σ

AVA Mean Value: xxx AVA StDev: xxx

© Systecon 2018, Slide 23

NMCS-MC

MISSION CAPABLE

NMCM-MC

Active Repair Active PM

+

xxx yyy zzz

Mission Capable Rate 48.54% 38.60% 40.05%

NMCS-MC 22.32% 28.41% 27.73%

NMCM-MC (Corrective) 26.14% 29.32% 28.97%

NMCM-MC (Preventive) 3.00% 3.66% 3.25%

0%

10%

20%

30%

40%

50%

60%

Mission Capable rate Multi-System, Multi-Base

© Systecon 2018, Slide 24

Projected Mission Capable rate Service Bases(s)– Risk/Replication Analysis

MC Mean: xxx % MC StDev: xxx MAR18-FEB19 Planned Utilization: xxx FH

MC Mean : xxx % MC StDev: xxx MAR18-FEB19 Planned Utilization: xxx FH

base

Base Base

MAR18-FEB19 Planned Utilization: xxx FH

35 40 45 50 55 60 65 70 75 80 85 900

5

10

15

20

25

30

Number of Systems (%)

Nu

mbe

r o

f re

plic

atio

ns

Available

Number of Systems Available

Units: Total, Systems: AW3; AW4

Available

xxx

MISSION CAPABLE

5.71 %

43

.55

%3

2.6

9 %

3.40 %

12.26 %

5.90 %

46

.48

%

28.62 %

3.67 %

12.84 %

JSF

-Jo

int-

...

JSF

-Jo

int-

...

Total over selected UnitsTotal over all Systems

0 %

20 %

40 %

60 %

80 %

100 %

120 %

Nu

mb

er

of

Syste

ms

On Mission

Mission Assigned

Ready

Awaiting Items

Awaiting Resources

Active PM

Active Repair

System States

Units: AMENDOLA - CTOL; BEAUFORT - STOVL; BURLINGTON - CTOL; CHEONGU - CTOL; ..., Systems: Total

+ +

xxx xxx

MC Mean Value: xxx % MC Standard Deviation: xxx

μ +σ -σ

μ +σ -σ

μ +σ -σ

© Systecon 2018, Slide 25

665.199992 728 7910 %

10 %

20 %

30 %

40 %

50 %

60 %

70 %

80 %

90 %

100 %

Time [days]

Nu

mbe

r o

f S

yste

ms

Active Repair

Active PM

Awaiting Items

Ready

Mission Assigned

On Mission

System States

Units: USAF DSP 2A FORWARD - CTOL, Systems: TotalWeek

MC rate (%)

1 63.52

2 49.08

3 41.33

4 46.64

5 47.79

6 45.20

7 41.91

8 43.77

9 43.33

10 39.52

11 39.21

12 39.14

13 37.48

14 36.19

15 36.79

16 37.48

17 35.58

18 35.52

19 35.10

20 36.50

21 36.57

22 36.26

23 34.29

24 34.20

25 33.76

26 (-) 32.76

January 2019

February 2019

March 2019

April 2019

May 2019

June 2019

System States - Time Base yyy

665.199992 728 7910 %

10 %

20 %

30 %

40 %

50 %

60 %

70 %

80 %

90 %

100 %

Time [days]

Nu

mbe

r o

f S

yste

ms

Active Repair

Active PM

Awaiting Items

Ready

Mission Assigned

On Mission

System States

Units: USAF DSP 2AB FORWARD - CTOL, Systems: Total

Planned Utilization 12,960 Flight Hours

© Systecon 2018, Slide 26

0 2000 4000 6000 8000 10000 12000 14000

COMBINED

XXX

YYY

ZZZ

Combined xxx yyy zzz

FH Accomplished 6818.35 5705.22 813.28 299.85

FH Not Accomplished 6141.65 3234.78 1946.72 960.15

Total Planned FH 12960 8940 2760 1260

Percent Flight Hours Flown (PFHF)

Flight Hours Not Accomplished

Flight Hours Accomplished

Total Flight Hours Planned

Accumulated System Time [Hours] Percent Flight Hours Flown

(PFHF)

23.80 %

63.82 %

52.61 %

29.47 %

Achieved Utilization per

Aircraft (per month)

54.25 FH

48.50 FH

48.25 FH

44.79 FH

© Systecon 2018, Slide 27

665.199992 728 7910 %

10 %

20 %

30 %

40 %

50 %

60 %

70 %

80 %

90 %

100 %

Time [days]

Nu

mbe

r o

f S

yste

ms

Active Repair

Active PM

Awaiting Items

Ready

Mission Assigned

On Mission

System States

Units: USAF DSP 2A FORWARD - CTOL, Systems: TotalWeek

PFHF rate (%)

1 24.16

2 30.73

3 23.36

4 31.86

5 55.61

6 72.95

7 70.44

8 71.43

9 70.89

10 68.51

11 66.91

12 66.19

13 64.14

14 61.13

15 61.15

16 62.32

17 60.67

18 59.67

19 58.53

20 62.97

21 62.20

22 61.12

23 58.74

24 57.54

25 56.88

26 (-) 54.54

Percent of Flight Hours Flown – Time Base yyy

January 2019

February 2019

March 2019

April 2019

May 2019

June 2019

665.199992 735 8050 %

10 %

20 %

30 %

40 %

50 %

60 %

70 %

80 %

90 %

100 %

Time [days]

Nu

mb

er

of S

yste

ms

Requested

Accomplished

Lower Percentile (95.0 %)

System Time

Units: USAF DSP 2AB FORWARD - CTOL, Missions: Total

© Systecon 2018, Slide 28

System Hours Flown per Aircraft Flown – Time Base yyy

January 2019

February 2019

March 2019

April 2019

May 2019

June 2019

Planned Utilization/ Aircraft 540 Flight Hours

= Hours: 52.5 + 115 (2 x sorties x 23 days) 372.5 (1 x sortie x 149 days)

Days: 1 7 30

Flight +

180

95.028570 106 1170

1

2

3

4

5

6

7

8

Time [weeks]

Nu

mb

er

of S

yste

ms

Requested

Accomplished

Lower Percentile (95.0 %)

System Time

Units: USAF DSP 2AB FORWARD - CTOL, Missions: Total

8

7

6

5

0

4

3

2

1

Syst

em H

ou

rs/

Air

craf

t/ D

ay

3 Sorties/ Day/ Aircraft

2 Sorties/ Day/ Aircraft

1 Sorties/ Day/ Aircraft

© Systecon 2018, Slide 29

0 1000 2000 3000 4000 5000 6000

COMBINED

XXX

YYY

ZZZ

Combined xxx yyy zzz

Accomplished 2880.47 2365.63 378.13 136.71

Not Accomplished 2067.03 986.87 714.37 365.79

Total Planned Mission Hours 4948 3353 1093 503

Accumulated Operation Time [Hours]

21.71 %

70.56 %

58.22 %

34.61 %

Percent Operation Hours Flown Base yyy

Mission Hours Not Accomplished

Mission Hours Accomplished

Total Mission Hours Planned

Percent Operation

Hours Flown

© Systecon 2018, Slide 30

Conclusions

• What is a good model? – A model that can answer the questions asked clearly and quickly

• How can a model be improved? – Through many small iterations focusing on the most important

parts

• How can pitfalls be avoided? – Always challenge your model, embrace change and learn from

your work