_Reducing the Infrastructure in a PBL Osborne-Part1 -Short Version

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    Slide 0

    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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    Slide 3

    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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    Slide 4

    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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    Slide 5

    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

    P

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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

    P

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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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    Slide 22

    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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    Slide 23

    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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    Slide 24

    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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    Slide 26

    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