_Reducing the Infrastructure in a PBL Osborne-Part1 -Short Version
Transcript of _Reducing the Infrastructure in a PBL Osborne-Part1 -Short Version
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Reducing the Logistics Footprint within the PBLConstruct - A Winning Strategy
Mike Osborne, CPL, CCDM CAS Inc.,VP Education
Council of Logistics EngineeringProfessionals (CLEP)
SYSTEM ENGINEERING ANDDESIGN TEAM
PRODUCIBILITY ENGINEER SUPPORTABILITY ENGINEER
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Slide 1
IF I HAD KNOWN THAT I HAD TO SUPPORT
THIS THING, I WOULD HAVE DESIGNED IT
DIFFERENTLY
hining
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Slide 2
Proposed Defense Acquisition Executive Summary (DAES-S) Metrics
Part A Narrative
Overall Program Health
Any Operational Impacts
Implementing Program Strategy
Addresses TLCSM and PBL
Part B Outcome Based Assessment Focused on Goalsand Variance from Goals
Forecast/Goal Actual Rating
Operational Availability ___ ___ ___
*ALT: Materiel Availability
Mission Reliability ___ ___ ___
*ALT: Materiel Reliability
Logistics Response Time ___ ___ ___
*ALT: Mean Down Time
Program Funding Status ___ ___ ___
Cost per Unit of Usage ___ ___ ___
Reduction in TOC ___ ___ ___
Safety ___ ___ ___
Goals determined by Services for legacy systems
Established as KPPs for new systems
7 IndicatorsOutcome based
Report issues by exception
Relevant to warfighter
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Ao addressed R&M and ALDT, and really equates to peacetime
as opposed to wartime
The Ao is typically calculated annually and reflects an average
or specifically, a snap shot in time.because the math is so
simple it does not address the dynamics of varying
operational tempos or operations
As a support planning baseline, it has been used in that
context for eonsits been a comfort zone that if the Ao is
good then everything is fine.but so much is missing in the
equation that it actually ADVERSELY affects war fighting
capability.
The result of Ao measurement in an IOT&E environment isalways near to 1.0 ---- its perfect but meaningless. Because in
the real world while the techs are refueling, rearming,
reconfiguring the aircraft/tank/ship, it is NOT really
availablewe need to shorten the DURATION and
FREQUENCY of all support events to make the System TRULY
Available..and the Ao equation does not support this.
What was wrong with Ao??
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Whats the difference between Ao and Ma?
Three big factors influence Operational Availability:Reliability, Maintainability and ALDT (Administrative
Logistics Down Time)
R&M are fixed values in a given point in time, but ALDT is never,ever, constant
The resultant Ao value has no goodness since it totally hinges on
the debatable average ALDT used in the Ao equation
Ma is influenced by measurement of SystemDowntime, both planned and unplanned; Inventory
metrics plus Material Reliability and Total Ownership
Costs associated with material readiness.
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MATERIAL AVAILABILITY AS A
KEY PERFORMANCE PARAMETER
EXAMPLE OF COMPUTATION OF SYSTEM LEVEL Ma
Threshold MTBF= 226 hr
Threshold MTTR= 2.83 hr
MLDT = 4 days = 96 hr
Ma = ____MTBF_____ = 226 _____ = ___226__
MTBF + MTTR +MLDT 226 + 2.83 + 96 324.83
Ma = 0.695749 (0.70)
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MATERIAL AVAILABILITY AS A
KEY PERFORMANCE PARAMETER
EXAMPLE OF COMPUTATION OF SYSTEM LEVEL Ma USING OBJECTIVEPARAMETERS AND REDUCED LOGISTICS RESPONSE TIME
Objective MTBF= 350 hr (from 226; up 55% - high expense)
Objective MTTR= 2.25 hr (from 2.83; down 20% - high expense)
Reduction in MLDT by one day =3 days= 72 hr (down 25% -moderate expense)
Ma = 0.82499 (0.82) from 0.695749
Increasing MTBF only, results in an Ma of 0.7798
Decreasing MTTR only, results in an Ma of 0.6969
Decreasing MTTR and increasing MTBF results in an Ma of 0.7804
Conclus ion: Mean Log ist ics Down Time (MLDT) is th e most cr i t ica lmetr ic in inc reasing Ma. Inc rease of Ma from 0.70 to 0.82 ispredom inant ly due to stream l in ing Log ist ics Respon se.
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New PBL Paradigm
We have to reduce system downt imes and
reduce O&S costs through deliberate
systems eng ineer ing to get r id of the
logistics infrastructure
And apply PBL c r i ter ia to what infrastructureis left
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So How do we reduce Mean Logistics Down Time?
OSD Guidance document Designing and Assessing
Supportability in DOD Weapons Systems, October 24, 2003:
Designing for support and supporting the design
Designing-in the critical aspects ofsupportability through
application of the System Operational Effectiveness model, and
Inclusion of logistics support considerations in detailed designreviews to includecharacteristics such as openness of design,
upgradeability, modularity, and testability, and designing for
producibility
BUT
That is not strong enough PMs and Systems Engineers still
dont get it - the stool now has three legs, Hardware, Software
and Logistics (sustainment) designed- inrequirements.
Our logisticians either dont know how to do this, or dont have
the detailed backing in directives and policy.
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What is missing from all this is
Needs of the Maintainer
We discuss everything about PBL EXCEPT how to design-insupportability and producibility; therefore:
If we are ever to reduce the logist ics in frastructu re, we must
def in i t ize the Log ist ics requ irements to the Systems Engineers
pr iorto pro duct design start , and enforce equal design
con siderat ion w ith hardware and softw are requirements.
Our PMs must understand that, our systems engineers mustdo that, and logisticians need to insist on it.
SYSTEMS ENGINEERS ARE STILL FOCUSED PRIMARILY ONHARDWARE AND SOFTWARE, NOT SUPPORTABILITY AND
PRODUCIBILITY.
Logisticians must drive themselves into the process early as partof the design team to define the requirements that may affect thedesign in a PBL product support/sustainment environment.
PBL has yet to integrate into the Systems Engineering function
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How do we meet that need with PBL?
We apply analysis to meet system performance
objectives Do the homework
We formally interface with design via calculated
Supportability-Design-to-Requirements (SDTR)and Producibility-Design-To-Requirements (PDTR)
We, logisticians, mustdesign the support system
to meet allocated Operational Requirements
We must design the support system into the end
item design
We, Logisticians, must test and evaluate against
ourdesign criteria
PBS-72
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Definition of Supportability
Supportability elements - major
Operational suitability
Readiness
In-flight and Operational sustainability
Survivability
Mobility/transportability
Reliability and maintainability
Human Factors
System Safety
Energy Management
Standardization
Interoperability
Vulnerability
Affordability
Life-cycle cost, and lest we forget
Availability (AO)
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And This
Subordinate Supportability elements :
01- 09 support general codes - Work Unit Code reflectssystem data definition for historical data collection or for new
systems
2) Preventive maintenance
3) Corrective maintenance
4) Resource consideration
5) Personnel requirements
6) Support equipment and facilities
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WHAT ARE SUPPORTABILITY DESIGN CRITERIA?
Guidance says that success will be achieved if supportability
and producibility requirements are embedded in the design -for example:
Unit cost/weight
MTBF/MTTR
Maintainability
Skill level Reduction
Preventive maintenance reduction
Hardware and Software documentation levels
Reduced Training requirements
Automated Testability/diagnostics/prognostics criteria
Reparability at least cost - actually best value
Designing Support equipment using Aircraft Standards, ETC.
BUT WHERE DO WE START?
PBS-58
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Availability
Availability is a measure of the degree to which an item is in anoperable state and can be committed at the start of a missionwhen the mission is called for at an unknown (random) point intime. Availability as measured by the USERis a function of:
how often failures occur and corrective maintenance is required,
how often preventative maintenance is performed,
how quickly indicated failures can be isolated and repaired,
how quickly preventive maintenance tasks can be performed, and
how long logistics support delays contribute to down time.
(DoD Guide for Achieving Reliability, Availability andMaintainability, August 3, 2005)
P
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IPT ROLE IN PBL
Develop a Design that is Independent of the
Logistics Infrastructure SELF-SUFFICIENCY
Establish Logistics Infrastructure Performance
Requirements in initial Requirements DefinitionEstablish performance metrics that provide a
knowledge base for process, training, hardware
and software Improvements
Provide a Contractor incentive program that isacceptable and do-able, such that the contractor
has a profit incentive to improve readiness.
PBS-96
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ForanyProgram: Development or Legacy (via ECPs)
Development of Supportability and Producibilityrequirements must focuson reducing the logistics
infrastructure (performance at best value) and should be:Substantive
UnderstandableFeasible and rational
Traceable and tes table
Timely and integrated earlywith design tools(CAD,CAM,CAE)
Relevant to Cost as an Independent Variable (CAIV)
Requirements are NOT metrics, metrics are derived fromthe specifications, as legacy systems discovered
The PBL IPT does this
Requirements are Fundamental
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PBL IPT
Establishing an IPT leadership role for the supportability and
producibility engineers ensures each of the support disciplinesand considerations for Support are balanced and cost effectivebefore Systems Engineering and Design are involved.
This significantly reduces possible requirement contentions betweendisciplines.
Empowered by decision support models, the supportability andproducibility engineers can quickly ascertain the potential ofproposed design improvements before stimulating a design response.
The result of this process is a supportable design that enhances theprime mission system or equipments mission capability, but is alsoquite cost effective in reducing the support system and its
infrastructure with increased capabilities.
An additional and non-trivial benefit is that the producibility andsupportability engineer can synergize their requirements in areas ofmutual interest.
P
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IPT must determine Performance Metrics
Evaluate existing and potential system/product option
operation at intended level, i.e., whats wrong and how to
improve performance?
Decompose requirements to establish system design
parameters
Determine which design parameters drive supportability
and producibility metrics, based on an objective analysis of
existing issues
Establish objective and threshold values for each critical
design parameter
A Systems Engineer ing Ac t iv i ty
PBS-40
P
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Pareto Analysis
A Pareto analysis of existing supportability and maintainability data
on the system/product/service we are replacing or improving gives
us definition of logistics down time high drivers
Weighted or relative importance of elements for system being
replaced or modified - Comparison Baseline
Weighted or relative importance of elements that we want to
see in the new system- The New Project
THE PRIMARY FOCUS OF THE PBL IPT, THEN, IS TOCLEARLY IDENTIFY WHAT WAS WRONG AND WHERE WE NEED
TO PLACE DESIGN EMPHASIS
PBS-58
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Performance Requirement Sample
Old design criteria resulted in removal and replacement ofan aircraft break assembly to take 18 hours to accomplish.
Pareto Analysis shows this to be one of the heavy hitters
weighted criteria
PBL IPT establishes a requirement to accomplish this sametask on the new aircraft in six hours with four tools
Customer bias provides input to do better
Final requirement (design criteria) established is for the
task to take only three hours with two tools Design criteria catalogued and provided formally to the
Systems Engineer
PBS-80
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PRIMARY SUPPORTABILITY DRIVERS
Reduce TOC:
By reducing the cost to acquire, operate,
sustain, and dispose of the system
Increase REAL Equipment/System Availability:
By increasing the percent of time that the end item is
available (Ma KPP) toperform its intended function whileaccomplishing a reduction in Support Event Frequency (f ),
Duration (d )and Cost (c )
PBS-32
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Supportability (S) defined
Supportability must be optimized for maximum availability (KPP),
reliability (KSA) and minimum Total Ownership Costs (KSA).Supportability is defined as :
The frequency of the support event where f= support event
frequency (also includes reliability); i.e., how of ten w i l l i t occur?
The duration of the event where d= support event duration (also
includes maintainability); i.e., how long is the event?
The cost of the event where c= support event cost (support
system costs per event, e.g. all ILS elements); i.e.,how much w i ll
i t cost?
SUPPORTAB ILITY IS AT ITS OPTIMUM WHEN S IS MINIMIZED,
I.E., AS FREQUENCY, DURATION AND COST APPROACH ZERO.
PB
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SYSTEMS ENGINEERING APPROACH
1Requirements
Definition
ProductProduction
SupportSystem
Production
ProductDesignSupportSystemDesign
Design inCriteria
Product Support
PerformanceMetrics
Product Support
Evaluation &Improvement
Product Support
CustomerNeeds
2
35
4
6
Supportability and Producibility
are designedin, not analyzedin.
BS-16b
PB
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A NEW LOGISTICS PARADIGM
Supportability is now defined (a shift in the
paradigm):
A metric that addresses every support event
within the domain of the Integrated LogisticsSupport Elements, with respect to support event
frequency, event duration, and event cost.
Reflected in a composite, quantitative and
qualitative characteristic of the supportedsystem (project) to meet specified operational
requirements for its intended life cycle, and is
optimized for Total Ownership (TOC).
BS-2
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Slide 25
Design-to Data Base for STDR and PDTR is Pivotal
to SuccessTraceable
Data base captures SDTR and PTDR requirements as codedelements
Each element tracks with each specific STDR and PDTR and must
be traceable from concept through fielding and sustainment
Coded elements are tracked and assessed at system design
reviews along with, and equal to, hardware and softwarerequirements
SRR
PDR
DRR
CDRTRR
Assessment of design status to meet SDTRs and PDTRs is
considered as Entry and Exit criteria for the design review
Failure to meet anticipated status is grounds to delay design
reviews or to result in unacceptable design reviews
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Design-to Data Base for SDTR and PDTR is Pivotal
to Success
Testable
STDRs and PDTRs are included in the Test and Evaluation Master
Plan (TEMP) and Supportability Strategy (SS)
Assessment of development status to meet SDTRs and PDTRs
should be considered as Entry and Exit criteria for any test event
or evaluation:
Life Cycle Cost Evaluations
Reliability Demonstration Tests
Maintainability (BIT/Prognostics) Demonstrations
Supportability/Logistics Demonstrations
Initial Operational Test and Evaluation
Each coded element is evaluated for acceptable performance indevelopment, test and evaluation, and operational assessment
Failure to meet anticipated status is grounds to delay test events
or to result in unacceptable and unsuccessful testing
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Enhanced IPT Interaction to integrate producibility
and supportability into the design - the PBL IPT funct io n
System performance and cost are typically driven by a few
subsystems and components - the Pareto An alysis
Uniform Design Metrics are now embedded to evaluate
relationships between performance, design and cost - us ing
Supportabi l i ty Design-to requirements (SDTR) and Producibi l i tyDesign-to requirements (PDTR) algor i thm s
Integrated Information to reduce support and production event
drivers - the design data base
THE SYSTEM ENGINEERINGAPPROACH