olct - dticmr. ken garrison mr. charles tylander westec services, inc. usair airlines 3211 fifth...
TRANSCRIPT
BRMC-83-5078-II
00NEW APPROACH TO AIR FORCE PROVISIONING
Mr. Ken Garrison Mr. Charles TylanderWESTEC Services, Inc. USAir Airlines3211 Fifth Avenue Washington National AirportSan Diego, CA 92103 Washington, DC 20001
14 August 1984
PHASE II REPORT FOR PERIOD MARCH 1984 - JUNE 1984Contract Number F33615-83-C-5078
Approved for Public Release: 3 I
OLCT
Prepared forAIR FORCE BUSINESS RESEARCH MANAGEMENT CENTERWright-Patterson AFB Ohio 45433
/C92 ll,
The views expressed herein are solely those
of the researcher(s) and do not represent
those of the United States Air Force.
Unclassif iedSECURITY CLASSIFICATION OF THIS PAGE
REPORT DOCUMENTATION PAGEIs REPORAT SECURITY CLASSIFICATION lbi RESTRICTIVE MARKINGS
Unclassified2.. SECURITY CLASSIFICATION AUTHORITY 3. OISTRIUUTION/AVAILABILITY Of REPORT
Approved for Public Release.,2b. OECLASSIFICATION/OOWNGRAOING SCHEDULE Distribution Unlimited
4. PERFORMING ORG4NIZATION REPORT NUMBER(S) S. MONITORING ORGANIZATION REPORT NUMBER(S)
BRMC-83-5078-1lGa. NAME Of PERFORMING ORGANIZATION b. OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION
WESTEC Services, Inc. (fAir Force Business Rsch Mgt Center
Be. ADDRESS (City. State and ZIP Coe) 7b. ADDRESS (City. State and ZIP Code)
3211 Fifth Avenue Area B, Bldg. 125San Diego, CA 92103 NPAFB OH 45433
So. NAME OF FUNOING/SPONSORING Sb1. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBERORtGA NIZATION Of(I ppulej
AFBRMC jRDCB F33615-83-C-5078SC. ADDRESS (City. State and ZIP Code) 10. SOURCE OF FUNDING NOS.
Area B, Bldg. 125 PROGRAM PROJECT TASK WORK UNIT
Wright-Patterson AFB, OH 45433 ELEMENT NO. NO. NO. NO.
11. TITLE (ItlncLdaSeeuity Ciastifeation) M 71113 0 011 0New Approach to Air Force Provisioning_____________________
12.Z PERSONAL AUTHOR(S)Ken Garrison
13a. TYPE OF REPORT 13b2. TIM%b%1 ED 402 14. DATE OF R P ~2 r., Mo.. Day) S1. PAGE. CUNT
Phase 11 FROM _ ___TO 84069___ 19916. SUPPLEMENTARY NOTATION
17. COSATI CODES IS. SUBJECT TERMS (Continue Ont rwara.e it Remyad Identify by Mioth Rmum bt)
W) provisioning, requirements, materiel.
1.AtACT (Continue on m~air. iif neeaaal and 4*ideti by black number)
--Fthe principal objective of the first study phase was to define the correlations and/ordifferences between cornmercial and Air Force provisioning methodologies. wppiik- ittk.l;
-~ ~ ~ ~ 4 ,U irHcuaru, ALC Dg&:n, and UBAir P, -okuiing uep Mizzuent 4&Pita was analyzed and significant operational events in the Air Force and
commercial provisioning cycles were Identified and combined with their applicable data elemez~ts toconstruct Event Matrices. These matrices were then Integrated through the identification offunctionally equivalent events and common data into a unified Provisioning Matrix.
The Provisioning Matrix provided schematic representation of the correlations and/or differ-ences between Air Force and commercial methods. World Airline Suppliers' Guide data types wereapplied to data elements to support their organization into five sets of operationally equivalentdata. Matrix elements were represented by codes in order to Indicate how the data elemeni; was,
2& OISTRISUITIO#4IAVAILASILITV OF ABSTRACT 21. ABSTRACT SECURITY CLASSIFICATION
, UNLASSIFIEIUNLIMITED 0 SAME AS RPT. MCOTIC USERS C0 Unclassified K>( 22. AME OP RESPONSIBLE INDIVIDUAL 2212 TILIPHONI nUMOaR 22.. OPPICE SYMBOL
1t Lt Joseph S. Peck (jfi ~ RC
00 FORM 1473, AFF1 IDITIO 1 JAN 73 1 OSSOIVU.__________5SCUMITY CLAU.P1@AION OP THIS fAGE
Unclassified
SECURITY CLASSIFICATION OF THIS PAGE
applicable to event performance. -T*h euits-4gT-e first study phm ae. reeorded In ADA-140494of the Defense Technical Information Center.
The second study phase was directed toward the identification of the most cost effectivemethod of provisioning end items other than major system acquisitions and modifications. A
# decision-tree analysis was progressively applied to each Provisioning Matrix and extracted EventMatrix element to identify efficiencies Incorporated in the commercial provisioning method. Theanalysis revealed that unique Air Force provisioning requirements could be largely accommodatedthrough the application of commercially available ATA data. Use of ATA data was determined toresult in substantial reductions of current Air Force provi Ing data Incidence, particularly forinternal and manufacturer directed data requirements. Redue ions were projected to exceed 27% ofthe current Air Force provisioning data requirement. I
Accession For
NTIS GRA&IDTIC TAB "Unannounced 0Justificatlon
By
Distribution/
Availability CodesJAvail and/or
Dist Special
S'OT
SlICumITY CL.ASS|PICATION OP THIS PAGE/
I - -- - - - .- - - .- - - -- - - /-
(P EXECUTIVE SUMMARY
Completion of the first study phase resulted in the specification of correlations
and/or differences between the commercial provisioning and Air Force provisioning
methodologies. Significant operational events in the Air Force and commercial pro-
visioning methods were identified and combined with their applicable data elements to
construct Event Matrices. The Air Force and commercial Event Matrices were then
integrated through the identification of functionally equivalent events and common
data Into a single unified Provisioning Matrix.*
The Air Force Event Matrix was extracted from the Provisioning Matrix In the
second study phase to investigate the relative efficiency of the commercial provisioning
method. World Airline Suppliers' Guide data types were applied to Provisioning Matrix
data elements to support their organization into five sets of operationally equivalent
( data, The operationally organized Event Matrix revealed the potential impact of
commercially available Air Transport Association (ATA) data on the Control, Applica-
tion, Technical, Procurement and Administrative areas of Air Force provisioning.
The second study phase was directed toward the identification of the most cost
effective method of provisioning end Items other than major system acquisitions and
modifications. Each Provisioning Matrix and extracted Event Matrix element was
captured in a hierarchical data structure constructed on an Intelligent micro-processing
device. A decision-tree analysis was progressively applied to each hierarchical level to
identify efficiencies Incorporated In the commercial provisioning method. Provisioning
* alternatives provided by the procurement of commercially available ATA data were
rigorously evaluated.
C?*Reported in Defense Technical Information Center ADA-140494.
The Provisioning Matrix and Air Force Event Matrix provided the basis for the)
identification of cost efficiencies through the reduction of the number of separate
operational events, applicable event data, and extraneous data flow between the
manufacturer and the buyer. The decision-tree analysis revealed that unique Air Force
provisioning requirements could be largely accommodated through the application of
commercially available ATA data. The analysis indicated that event data would be
reduced, even with the addition of the recommended commercial Buy-Back event, by
over 25 percent.
if
-( Table of Contents
Section Page
EXECUTIVE SUMMARY I
I - INTRODUCTION 11. Objectives 1
V - METHODS AND APPROACH 2
1. Background 22. Decision-Tree Analysis 2
Figure 1 - Tree Structure 3Figure 2 - Data Disposition/D220 Processing 5
I - DATA PRESENTATION 91. Air Force Data Specification 92. Air Force Data Compatibility 23
3. Air Force Event Matrix Compatibility 33
4. Matrix Element Designation Codes 45
5. Air Force Event Matrix Designation 47
6. Air Force Event Matrix Data Type 597. Air Force/ATA Data Compatibility - Common 668. Air Force/ATA Data Compatibility - Major Algorithm 68
9. Air Force/ATA Data Compatibility - Minor Algorithm 7010. Air Force/ATA Data Compatibility - Unique Condition 7211. Air Foree/ATA Data Compatibility - Unique/Recommended 7412. Air Force/ATA Data Compatibility - Unique/Not Recommended 76
13. Air Force/ATA Data Compatibility - Unique/Delete 78
14. Proposed Air Force Event Matrix Designation 8015. Air Force Event Matrix Designation - Efficiency 9216. Proposed Air Force Event Matrix Data Type 94
17. Air Force Event Matrix Data Type - Efficieney 101
iii
Table of Contents (continued))
Section a-
IV - CONCLUSION 1031. Analysis 103
Figure 3 - ATA Benefit Analysis 1062. Results 107
V - APPENDICES 109Appendix A - Provisioning Matrix 109Appendix B - Air Force Event Matrix 122Appendix B1 - Air Force Event Matrix
- Unique Elements or Element Conditions 128Appendix B1.1 - Air Force Event Matrix - Unique Elements 132Appendix B1.2 - Air Force Event Matrix - Unique Conditions 136Appendix B2 - Air Force Event Matrix - Similar Elements 138Appendix B2.1 - Air Force Event Matrix - Major Algorithm 140Appendix B2.2 - Air Force Event Matrix - Minor Algorithm 142)
Appendix B3 - Air Force Event Matrix - Common Element 144Appendix B4 - Air Force Event Matrix - Infrequently Used Elements 146
Appendix C - Proposed Air Force Event Matrix 148- Including Infrequent Elements
Appendix Cl - Air Force Event Matrix
- Unique Elements or Element Conditions 154Appendix C1.1 - Air Force Event Matrix - Unique Elements 158Appendix C1.2 - Air Force Event Matrix - Unique Conditions 161Appendix C2 - Air Force Event Matrix - Similar Elements 163Appendix: C2.1 - Air Force Event Matrix - Major Algorithm 185Appendix C2.2 - Air Force Event Matrix - Minor Algorithm 167Appendix C3 - Air Force Event Matrix - Common Element 169Appendix D - Proposed Air Force Event Matrix
- Excluding Infrequent Elements 170
Appendix E - Briefing Package 175
Table of Contents (continued)
Section Page
DATA TABLESTable 1 - Air Force Data Specification - Notes 18Table 1 A - Control Data Type 10Table lB - Application Data Type 12Table 1C -Technical Data Type 14Table ID - Procurement Data Type 16Table 1E - Administration Data Type 17Table 2 - Air Force Data Compatibility - Summary 25Table 2A - Control Data Type 26Table 2B - Application Data Type 27Table 20 - Technical Data Type 29Table 2D - Procurement Data Type 31Table 2E - Administration Data Type 32Table 3 - AF Event Matrix Compatibility - Summary 34Table 3A -Control Data Type 35Table 3B - Application Data Type 37Table 30 - Technical Data Type 39Table 3D - Procurement Data Type 41Table 3E - Administration Data Type 43Table 4 - Matrix Element Designation Codes 46
Table 5 - AF Event Matrix Designation - Summary 48Table 5A - Control Data Type 49Table 5B - Application Data Type 51Table 5C - Technical Data Type 53Table 5D - Procurement Data Type 55Table SE - Administration Data Type 57Table 6 - AF Event Matrix Data Type 60Table 6A - Manufacturer Data 82Table 68 - Buyer Data 64Table 7 - AP/ATA Data Compatibility - Common Data 67Table 86- AF/ATA Data Compatibility - Major Algorithm 69
V
Table of Contents (continued)
Section Page
Table 9 - AF/ATA Data Compatibility - Minor Algorithm 71
Table 10 - AF/ATA Data Compatibility - Unique Conditions 73
Table 11 - AF/ATA Data Compatibility - Unique/Recommended 75
Table 12 - AF/ATA Data Compatibility - Unique/Not Recommended 77
Table 13 - AF/ATA Data Compatibility - Unique/Infrequent (Delete) 79
Table 14 - Proposed AF Event Matrix Designation - Summary 81
Table 14A - Control Data Type 82
Table 14B - Application Data Type 84
Table 14C - Technical Data Type 86
Table 14D - Procurement Data Type 88
Table 14E - Administration Data Type 90
Table 15 - AF Event Matrix Designation - Efficiency Summary 93
Table 16 - Proposed AF Event Matrix Data Type 95
Table 16A - Proosed Manufacturer Data 97
Table 16B - Proposed Buyer Data 99
Table 17 - AF Event Matrix Data Type - Efficiency Summary 102
V()vi
C 1. INTRODUCTION
1. Objectives
a. Under the direction of the Air Force Business Research Management Center
(AFBRMC), WESTEC Services, Inc., and USAir have conducted a joint study to provide anew approach to Air Force provisioning. The WESTEC/USAIr approach was based on
the examination and evaluation of provisioning methods used by the Air Force andcommercial aviation. The possibility of applying commercial techniques in the military
environment was investigated through correlation of provisioning techniques used in theAir Force and in the commercial world. Toward this end, the New Apprer to AirForce Provisioning study was broadly organized into two separate phases.
Phase one initially focused on the 'specification of Air Force wa c mercial
provisioning through separately constructed arrays of operational events a..- applicableevent data termed Event Matrices. Event Matrices were then integrated to form a
Provisioning Matrix to illustrate the correlation and/or difference between Air Force
and commercial provisioning.
The second study phase applied a decision-tree analysis to the Provisioning Matrixto determine the most cost-effective method of provisioning selected end items. Each
major analytic branch focused on the evaluation of benefits and/or penalties associatedwith alternative provisioning techniques. A well defined measure of savings wasconstructed based on the event, event data and event data flow associated with
alternative provisioning strategies.
b. This report marks the conclusion of the second and final study phase. Themethods, techniques, and procedures employed In the performance of each study
activity are defined herein. The Provisioning Matrix and the Air Force Event Matrix
providing the analytic baseline for the decision-tree analysis are included in Appendix A 4and B in report Section V.
II. METHODS AND APPROACH
1. Background
Completion of the first study phase resulted in the specification of similarities,differences, advantages and disadvantages of the Air Force and the commercialprovisioning methods. Event Matrices constructed for the Air Force and commercialaviation were integrated into a Provisioning Matrix to show the correlation and/ordifferences between the respective methodologies. The Provisioning Matrix revealedthat commercial provisioning was particularly efficient concerning the flow of informa-tion from the manufacturer to the commercial buyer. Similarly, the availability ofprovisioning data standardized in accordance with Air Transport Association (ATA)specification 200 was determined to significantly reduce data flow requirements fromthe buyer to the manufacturer.
The approach of the following sections will focus on the applicability and utilityof commercially available data to Air Force provisioning. A decision procedure isspecified where each Air Force MIL-STD- 1552A and Addendum data element isprogressively analyzed and evaluated according to its role in the provisioning process.The decision-tree ultimately provides a well defined measure of the benefits orpenalties resulting from final element AT A data disposition (see Figures I and 2).
2. Decision-Tree Analysis
a. Provisioning, Matrix - The basis for the provisioning cost analysis wasprovided by the Provisioning Matrix constructed in the first study phase. Efficienciesbetween Air Force and commercial provisioning were explicitly illustrated by thenumber of separate operational activities (events), applicable event data elements andthe extent of data flow between the manufacturer and the buyer. In this regard,commercial provisioning was depicted to include fewer events, reduced data volumes,and significantly less interaction between the manufacturer and the commercial buyer.
b. Air Force Event Matrix - The Air Force Event Matrix was extracted fromthe Provisioning Matrix to investigate efficiencies incorporated in the commercialprovisioning method. The fundamental role of provisioning data within the respective
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methods was analyzed through the construction of a hierarchical data structure on an)IBM-XT micro-processor. Events were represented by data sets and event transition bythe associated data flow. Compatibilities between Air Force and commercial provision-ing were identified through the development of refined relations between Air Force andATA data elements.
C. Data Element Specification - The applicability of commercial data to AirForce provisioning Is strongly dependent upon the relation between readily availableATA data and required Air Force provisioning data. ATA data restricted to represen-tations unique to commercial provisioning Is clearly not applicable to Air Force needs.
Comparisons between Air Force and ATA provisioning data were based on detailedspecifications contained in MIL-STD-1552A, Addendum, and ATA Specification 200.Results achieved in the first study phase were expanded to comprehensively identifyeach commercial data element and element combination correspondent to Air Force
provisioning data.
d. Data Element Compatibility - Based on Event Matrix content, relationsbetween Air Force and ATA data elements In the Provisioning Matrix were refined to)measure element compatibility. Unique elements were broken into those elementsrepresenting unique conditions in conjunction with compatible conditions and uniqueelements entirely composed of unique conditions. Data from the two provisioningmethods potentially compatible following revision were termed similar in the first studyphase. These elements were refined to elements analytically determined to requireminor versus major algorithmic revision. Element revision was classified as minor incases where available ATA data could comprehensively represent Air Force elementconditions. Major algorithmic revisions were determined to require ATA data,supplementary tables, and cross-reference files to represent Air Force data.
Compatible data elements were partitioned Into two element sets, Air Force dataidentical to ATA data and Air Force data Identical to ATA data following diecconversion. Identical elements were determined to have the same number ofcharacters, the same format type 'and content while conversion data Included minorlength, type and content variations.
6
0* Operational Data Type -Air Force provisioning data was characterized inthe first study phase through membership in five sets of operationally equivalent dataspecified in the World Airline Suppliers' Guide. Each Air Force data element wasclassified according to one of the following data types: Control, Application,Technical, Procurement or Administration. The notion of data type has beenmaintained in the final study phase to support the presentation of Air Force provision-ing efficiencies within related operational areas.
f. Data Element Classification - Each Air Force provisioning data element wasclassified according to its operational data type and ATA data compatibility. Dataelements contained in each of the five operational data types were organized into oneof the six mutually exclusive compatibility relations.
As a result, Air Force provisioning data was partitioned into 30 separateclassification data sets. For example, technical data is separated into technical datacompletely unique to Air Force provisioning, technical data representing conditions incommon with commercial provisioning and unique to Air Force provisioning, technical
(S data in common with commercial provisioning following the development and executionof major algorithms based on available commercial data, etc.
g. Data Element Application - Each classification data set was evaluatedaccording to its applicability to the Air Force provisioning cycle event performance.Particular attention was placed on the Identification of totally inapplicable data, thatis, unused elements, and infrequently used provisioning data. These elements were
flagged as prime candidates for deletion from Air Force provisioning and benefitprofiles were constructed to evaluate efficiencies achieved through their elimination.
h. Internal Element Designation - Provisioning event data transfer betweenmanufacturers and the Air Force was evaluated for each data element applicable to AirForce event performance. Internal Air Force data (designation code B) was segregatedfrom elements supporting information exchange between manufacturers and the AirForce (designation codes MB and BM). Profiles were constructed for these control andmanagement elements to quantify inefficiencies associated with their application. Theevents, applicable data and data transitions were separately quantified for theseelements in each of the five data types.
7
I. External Element Designation - Air Force provisioning data commonly usedfor communication between manufacturers and the Air Force were determined to have a
dramatic impact on provisioning efficiency. The Air Force Event Matrix was used toidentify data elements representing significant data interchange throughout the provi-sioning cycle. Particular attention was paid to elements 'with designation codes
indicating repeated guidance provided to manufacturers in conjunction with informationreceived from the manufacturer, that is, designation code BM followed by MB, etc.
I. AF/ATA Data Disposition - The Provisioning Matrix provided detailed
correlations and/or differences between the commercial and the Air Force provisioningmethods. Results achieved in the first study phase revealed that the principalefficiencies associated with the commercial provisioning principally relate to theavailability of standardized commercial provisioning data. Manufacturers are accus-
tomed to providing provisioning data in accordance with ATA Specification 200 with anabsolute minimum of guidance from the commercial buyer. As a result, this branch of
the decision-tree analysis focused on the potential for the application of commercial
ATA data to Air Force provisioning. Figure 2 Illustrates the method for each of seven
Air Force data categories. Each category is presented in descending order of increased
compatibility between Air Force and ATA data. Air Force elements representing)conditions completely peculiar to Air Force provisioning appear at the top left of
Figure 2. These unique elements do not currently relate to any ATA data. They cannot
be calculated by or converted from currently available ATA data. The only way they
could be provided is through their addition to ATA Specification 200. The decisionmethod was next applied to Air Force data determined to have at least some conditions
in common with the ATA. These unique condition elements represent circumstances
where additional conditions must be incorporated in ATA data in order to accommodate
Air Force requirements. Efficiencies available to Air Force provisioning through theincorporation of Air Force requirements in ATA data were specified in the decision
analysis. Each data category in Figure 2 was separately investigated to determine the
reduced number of events, event data, and event transition resulting from the
incorporation of the applicable Air Force data into the commercial ATA system.
Ill. DATA PRESENTATION
1. Air Force Data Specification
a. Specifications for each of the 85 Air Force data elements and their relatedcommercial provisioning data elements are presented in Tables I-A through l-E. E :-hdata element specification includes the element name, MIL-STD-1552A and Addendumand ATA Specification 200 block code (the columnar position of each data element inthe standard format), element field length, Alphabetic (A), Numeric (N) or Alpha-numeric (A/N) format type, principal element designation code and appropriateamplifying remarks. Element designations include data flow from the manufacturer tothe buyer (MB), the converse transition (BM), and data produced by the buyerexclusively for their internal use (13).
Each table is dedicated to a particular data type where Table I-A lists the AirForce Control elements; Table 1-B, Application data; Table I-C, Technical data; TableI -D, Procurement data;, and Table I -E the Administrative data elements.
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2. Air Force Data Compatibility
a. A major concern of the cost-effectiveness study is the relation between Air
Force provisioning data elements and commercially available ATA data. If commercial
data was identical to Air Force provisioning data, then manufacturers could provide
identical data sets to commercial buyers and the Air Force. Table 2 summarizes the
relation between Air Force provisioning data elements and their ATA counterparts.
Elements are organized by each of the five provisioning data types, i.e., Control,Application, Technical, Procurement and Administration. Air Force element relations
to ATA data are grouped into three categories: Unique, Similar and Compatible. In
general, Air Force elements are termed unique when they have been determined not to
be obtainable from available ATA data. The unique category was refined to separately
identify Air Force provisioning data nearly obtainable from ATA data with the
exception of one or more element conditions. It is important to note the distinctionbetween a totally unique element and an element including unique conditions. A truly
unique Air Force data element would require the addition of a completely new data
element to the ATA data set in order to satisfy Air Force provisioning needs. An Air
Force element with unique conditions could be accommodated within the current ATA( data structure by simply expanding the condition domain of already existent com-mercial data.
Air Force data elements are considered to be similar to ATA data when they can
be constructed from one or more currently available commercial data elements-.
Element similarity has been partitioned, according to the complexity of the construct,
into major and minor algorithm compatibilities. Major algorithms typically represent
conditions where several commercial data elements must be combined with supplei'
mental information to represent a particular Air Force element. Air Force elementswere assigned a minor algorithm compatibility when it was determined that they could
be directly derived from available ATA data. When an Air Force element is either
ubtainable through direct conversion of an ATA element or is identical to an ATA
element it is assigned to the common compatibility category.
b. The summary results of Table 2 were expanded and separately presented to
support analysis within each of the five operationally equivalent sets of provisioning
data. Table 2-A provides a detailed breakdown of Air Force and ATA compatibility for
23
each of the Air Force control elements. Elements are listed with the part ,ular
compatibility applicable to obtaining the element from commercially available ATA )data. In several instances Air Force elements were identified to fit into separate
compatibility categories. For example, an Air Force element might wel be derivable
algorithmically from a single commercial data element with the exception of one or
more unique conditions, i.e., a compatibility assignment of unique condition and minor
algorithm.
Analogous results are provided for Air Force data elements in the Application
data type in Table 2-B; Table 2-C, Technical data elements; Table 2-D, Procurement;
and Table 2-E, the 12 Air Force Administration data elements.
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3. Air Force Event Matrix Compatibility
a. Each event identified in the Air Force provisioning cycle is examined in
Table 3 according to the relation of initial data appearance and the subsequent
application of applicable event data to ATA data elements. Results are summarized for
each of the five data types over the six unique, similar and common element
compatibility relations. Table 3 provides a concise overview of difficulties associated
with the performance of Air Force provisioning within each of the five operationally
equivalent data types through the application of commercially available ATA data.
b. Provisioning data applicable to the performance of each of the 28 Air Force
provisioning events is specified according to the unique, similar and common data
compatibility relations. Table 3-A contains the detailed disposition of Control data
compatibility over the Air Force provisioning cycle; Table 3-B is focused on Application
data; Table 3-C, Technical data; Table 3-D, Procurement; and Table 3-E, Adminis-
trative data. Each of these tables, within their particular data type, provides a well
defined measure of the complexity involved in the application of ATA data to the Air
Force provisioning cycle. Appendix B and Its associated extracts specifically identify
the data elements and manufacturer - Air Force data flow tabulated for each event.
The unique element extract is provided in Appendix Bl.l for each of the five data
types. Unique Condition elements are listed in Appendix BI.2; Major Algorithm
elements, Appendix B2.1; Minor Algorithm, Appendix B2.2 and Direct Conversion and
Identical element extracts are presented in Appendix B3.
33
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4. Matrix Element Designation Codes
a. The flow of information between the manufacturer, the buyer and internal
to the buyer is specified in the Provisioning Matrix and the Event Matrices through well
defined data element designation codes. The symbolic code conventions employed in
the Event Matrices are expanded to create 14 additional conventions necessary for
Provisioning Matrix specification.
Table 4 presents each designation code, identifies the applicable matrix type, and
defines the code convention in terms of data flow, data element relation and matrix
event equivalency.
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c - .40 4 U 4 ~ 4 0 4 4 U 4
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5. Air Force Event Matrix Designation
a. Designation codes assigned to the major data element compatibility rela-tions are summarized in Table 5. Each data type is depicted according to the totalnumber of applicable data elements and their distribution over designation codes withinthe Unique, Similar and Common Air Force/ATA data relations. Event matrixdesignations representing the flaw of information between the manufacturer and thebuyer (MIB, BM) and internal (B) buyer data are quantified in order to assess the utilityof available ATA data to Air Force provisioning.
b. The summary results of Table 5 are based on detailed matrix designationsprovided in Tables 5-A through E. Each table is restricted to a particular data type andspecifies the applicability of data element designation code/compatibility relation tothe performance of each Air Force provisioning event. The Air Force Control dataelements are addressed in Table 5-A while Table 5-B provides the Application datatype; Table 5-C, Air Force Technical data; Table 5-D, Procurement; and Table 5-E, theAdministrative data type. Appendix B and its associated extracts specifically identifythe data elements and manufacturer - Air Force data flow tabulated for each event.
] The unique element extract is provided in Appendix Bl.1 f or each of the five datatypes. Unique Condition elements are listed in Appendix B 1.2; Major Algorithmelements, Appendix B2.1; Minor Algorithm, Appendix B2.2; and Direct Conversion andIdentical element extracts are presented in Appendix B3-,
EnJwY
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6. Air Force Event Matrix Data Type
a. The distribution of data elements applicable to event performance over the
Control, Application, Technical, Procurement and Administration data types is sum-
marized in Table 6. Values tabulated In Tables 5A-E are combined to establish an
overview regarding the importance of each data type to each Air Force provisioning
element.
b. Provisioning data provided by the manufacturer with a minimum of buyer
direction and participation represents an extremely efficient circumstance relative to
the overall provisioning process. Table 6-A is focused on the contribution of manu-
facturer data (designation code MB) to the performance of each Air Force provisioning
event. The total contribution of manufacturer provided data to Air Force provisioning
is partitioned into the separate data types to explicitly Identify Its role within each of
the five major operationally equivalent data types.
In contrast to manufacturer data, provisioning elements requiring extensive
manufacturer direction and interaction represent time consuming and expensive con-
ditions within Air Force provisioning. The application of Air Force provided data
_( (designation codes BM and B) to the performance of each Air Force provisioning event
is presented in Table 6-B. The total contribution of Air Force provided data to Air
Force provisioning is once again specified for each of the operationally equivalent data
'9
I3I
a.1C or-
ift o- an 44 t% I% q% .40 4 10 pi -0 M
44
00
w m
v,
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63
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II f9L
4
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a..65
7. AF/ATA Data Compatibility - Common Data Elements)
a. Table 7 provides a list of those Air Force data elements determined to be
identical to available ATA data or to be identical following the direct conversion of
available ATA data elements. Each of the compatible elements is analyzed according
to its impact upon applicable Air Force provisioning events and Air Force direction
(codes BM and B). In the advent that provisioning data common to Air Force andcommercial provisioning is obtained directly from the manufacturer, proposed eventreductions and element designations are specified to quantify provisioning efficiencies
and associated cost savings.
Currently applicable events and element designations are specified in
Appendix B3. Appendix C3 contains proposed events and designations obtained throughthe application of ATA data to Air Force provisioning.
I q - ' I Ihic +
0
taon % 4 C4
OMO
4m Ic
Ic 2
A Ck 4C-C 4 0
0
4~~~0 C ~ IN I- -
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44 IL*I 0
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o oou on
C U 4C67
8. AF/ATA Data Compatibility - Major Algorithm Data Elements
a. Air Force provisioning data obtainable from currently available ATA data
following the execution of major algorithms is identified in Table S. The impact of
purchasing the compatible ATA elements, exercising the algorithm and generating the
required Air Force elements is presented in the form of reduced provisioning event data
applicabiity and reduced Air Force and manufacturer interaction. Appendix B2.1
identifies the events and element designations pertinent to current Air Force provision-
ing. Proposed events and their applicable element designations are presented in
Appendix C2.1.
68i
____ ___ __ _ ___ *~*-- *
V V
4c0 U
4 41
04C)O C4
.C I
4c .4 CIt 9 1 :. 0. N m
4, -
9. AF/ATA Data Compatibility - Minor Algorithm Data Elements)
a. Air Force provisioning data replicable through the application of a minorconversion algorithm to commonly available ATA data is presented in Table 9.Efficiencies achieved through the purchase of the compatible commercial elements, theexercise of required algorithms and production of the Air Force elements is displayed
according to reduced event performance and reduced Air Force and manufacturer
interaction (designation codes BM and B).
Appendix B2.2 identifies the events and their applicable designations currentlypertinent to Air Force provisioning. Savings proposed through the application of
currently available commercial ATA data are provided in Appendix C2.2.
70
u r
414
4 04
4 V4M WIO - - - I IN W In U% I I.
-go
4 4101 -00 ' qI0 4D N vA vI 4I s 0 -P iA. c8I-
1- 61- - - - I IA I A m
2 4,
Le M co 4D 91 91 N "n go 4 D co .4 o ID co UA I
a- 41
c- 41
N. a, NN
0 41 N
.9 4. s
vu c. --c 2N -c
4'~71
10. AF/ATA Data Compatibility - Unique Condition Data Elements
a. Air Force provisioning data elements determined to be obtainable fromcommercially available di.ta with the exception of one or more element conditionspeculiar to Air Force provisioning are listed in Table 10. These elements represent thefirst instance of actual revisions to currently available ATA data in support of requiredAir Force provisioning activities. Efficiencies potentially achievable through selectiveATA data revision and the implementation of associated data conversion are presentedaccording to reduced provisioning event performance and reduced dependenciesbetween the Air Force and their manufacturers.
The results of Table 10 were achieved through comparison of Appendix 81.1 andAppendix CI.2. The role of the Unique Condition elements in current Air Forceprovisioning is specifiled in Appendix BI1.2 while their proposed role is displayed inAppendix CI .2. Reductions in applicable event data and the revised manufacturer-buyer data flow were quantified according to these appendices.
72
141 m a. ON
4u ca I r
0
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o, 41
sb. 0 P 0* 4 .a I
41 I
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44
ca v
0 4
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- 41
-1 41 41 :.
I-. 3u . ~ I . I * C IL 0 -0 N0 CN .4 06
c a' a. '- -l " 4
aa U 41 41-3 A0 u 00 0
r. COa uo4, 44 a C) 0 .*441 . . 1 . .- C 414
44 %40 - 4 4 Q Q. 4" 0h.. 41
Ai U- 'L X t IC44 1 It M 3 0 x F
U4 Is4 40 41 uC u ' .
o ~ 73
11. AF/ATA Data Compatibility -Unique Data Elements Recommended for ATA
Addition
a. The peculiar requirements of Air Force provisioning necessarily incorporate
a large number of data elements completely unique to currently available ATA
provisioning data. The unique Air Force elements have been determined to generally
complicate Air Force provisioning. Instances where efficiencies could be sensibly
achieved through the introduction of unique Air Force elements to the ATA data set are
specified in Table II. Eight unique Air Force provisioning elements are recommended
for addition to ATA data. Efficiencies potentially achievable through selective ATA
data addition are quantified by reduced event performance requirements and reduced
Air Force and manufacturer data dependencies.
The results of Table 11I were achieved through comparison of Appendix B 1. 1 and
Appendix CI1. 1. Reductions in applicable event data and the revised manufacturer-
buyer data flow were quantified by contrasting the current disposition of unique Air
Force data in Appendix B 1. with the proposed role of Appendix CI1.
74
40
2 S
orn
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0 .
ix P
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4, I
43 a s 4
L) 4 'IL 0U) aV 0.))
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*3 71
12. AF/ATA Data Compatibility - Unique Data Elements Not Recommended for ATAAddition
a. Thirteen unique Air Force data elements integral to Air Force provisioning
have been identified to primarily suport internal Air Force provisioning management
and control (designation code B). Whereas these elements do not contribute to the flow
of information between the manufacturer and the Air Force buyer it would be
inappropriate to consider them as viable candidates for ATA addition.
76
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0'0
zC 0 b. A
'CC
@41
V'CC
14. Il-
WIL
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40*~~I I- 4' N. .
13. AF/ATA Data Compatibility - Infrequently Used Unique Data Elements.
a. Twenty unique Air Force data elements were determined in the first study
phase to be infrequently used in Air Force provisioning. These elements have been
validated and confirmed in the second and final study phase and their deletion from Air
Force provisioning is thereby recommended.
Efficiencies obtainable through the elimination of these elements are quantified
by reduced event performance requirements and reduced Air Force and manufacturer
data dependencies.
78
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to In 1 1' 9' 4 4w - I I 1 4 9') m ) I ) 1
4 041
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a- 41 'V - .4 0I44 41 C4110-. 40 41?
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Is NA. 41
4.79
14. Proposed Air Force Event Matrix Designation
a. Designation codes MB, BM and B recommended for the Unique Element,Similar Element and Common Element relations are summarized In Table 14. Each data
type (Control, Application, etc.) Is depicted with the number of applicable data
elements within each of the three compatibility relations. Table 5 provides analogous
summary information for current Air Force provisioning.
b. Tables 14-A througch 14-E present detailed breakdowns for data element
designations proposed within the Unique, Similar and Common element relations for
each Air Force provisioning event. Appendix C and its associated extracts specifically
identify the data elements and manufacturer-Air Force data flow tabulated for each
event. The unique element extract Is provided In Appendix C1.1 for each of the five
data types. Unique Condition elements are listed In Appendix C1.2; Major Algorithm
elements, Appendix C2.1; Minor Algorithm, Appendix C2.2; and Direct Conversion and
Identical element extracts are presented in Appendix C3.
so
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15. Air Force Event Matrix Designation - Summary
a. The current disposition of unique, similar and cornmon Air Force provision-
ing data presented in Table 5 Is summarized and provided with the proposed Air Force
designations of Table 14 In Table 15. The difference between current results and
results achieved through the implementation of recommended procedures is provided by
the number of reduced data element applications. Hence, efficiencies achieved through
the application of ATA data to the Air Force provisioning method are quantified within
each of the five operationally equivalent data types for the flow of information
between the manufacturer, the Air Force, and Internal to the Air Force.
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16. Proposed Air Force Event Matrix Data Type
a. The distribution of data elements proposed for event performance over theControl, Application, Technical, Procurement and Administration data types are
provided in Table 16. for each Air Force provisioning event.
b. Provisioning data provided by the manufacturer (designation code MB) in the
proposed Air Force method is presented In Table 16-A while Table 16-B identifies the
associated Air Force data requirements (designation codes B and B M).
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17. Air Force Event Matrix Data Type - Efficiency Summary
a. The current and proposed disposition of Manufacturer and Air Forceprovided data within Air Force provisioning is specified in Table 17. Results providedby Tables 6 and 16 were combined to illustrate provisioning efficiencies achievedthrough the reduction of applicable manufacturer/buyer data in the Control, Applica-tion, Technical, Procurement and Administrative data types.
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a, 102
TV. CONCLUSION
1. Analysis
a. Correlations and differences between the Air Force and the commercialprovisioning methods were determined in the first phase of the Air Force provisioning
study. Commercial provisioning was identified to achieve substantial efficiencies
relative to the Air Force method in two important and related ways. First, the
availability of provisioning data standardized according to ATA specification signif-icantly reduced the flow of data between the manufacturer and the commercial buyer.
Furthermore, the ATA data included factors necessary to the modeling of provisioning
requirements commonly performed by manufacturers in commercial provisioning. Thisprocedure ultimately results in the performance of the Buy-Back event at the end of
the commercial provisioning cycle. Buy-Back was the single commercial eventidentified as completely unique to commercial provisioning in the first study phase.
Hence, the second major cost-effective characteristic of commercial provisioning
occurred as a direct result of the availability of requirements determination provision-Ing data with a minimum of manufacturer/buyer interaction.
4b. The applicability of ATA data to Air Force provisioning was carefully
analyzed in the second study phase. The rationale for emphasizing the potential role ofcommercially available data within the Air Force was twofold; through the reduction ofinefficient data management and the potential incorporation of a buy-back provision in
Air Force provisioning.
c. Tables 1, 2 and 3 provide compatibility relations between data elements inthe two provisioning cycles. While data completely unique to Air Force provisioning isseen to comprise 48% of the total Air Force elements (40 of 84), 18 of the unique
elements were determined to be virtually unused by the Air Force (Table 13). In termsof their applicability to event performance, unique Air Force elements were seen to
account for approximately one-third of the total data instances (213 out of 624).
A considerable portion (101 of 213 total) of unique Air Force data application wasdetermined to be internally directed toward the management and control of Air Forceoperations (data designation code type B). Thirteen unique elements Identified In
103
Table 12 were not recommended for addition to ATA data because of their virtutiJyexclusive application to internal Air Force processing. Hence a total of 9 unique r aForce data elements were determined as viable candidates for ATA inclusion. These
elements include: Three control elements (C7) PIUN-SPIUN, (C10) Provisioning ContractControl Number and (C14) Reference Number Justification Code; two application
elements, (A9) Physical- Security Pilferage Code and (Ai0) Precious Metal Indicator
Code; a single technical element, (T7) Not Repairable this Station; a single procurement
element (P3) Production Lead Time; and two unique administration elements, (D2)Control Data and (D6) the Long Reference Part Number Code (Table 11).
d. While unique Air Force requirements initially appeared to constitute the
single major obstacle to Air Force use of commercial ATA data, elements common toAir Force and commercial provisioning appeared to offer the greatest opportunity.
Seven data elements were identified in the second study phase to either be identical to
or identical following direct conversion to available ATA. Interestingly, these elements
were determined to play a relatively active role in Air Force provisioning. Results
presented in Table 7 reveal 82 instances of those common elements, almost all of which
involve the flow of information from the manufacturer to the Air Force (designation
code MB).
e. Between the extreme of the unique Air Force *and the common ATA
elements, Air Force provisioning could essentially be accomplished through the applica -
tion of currently available ATA data. Tables 8, 9 and 10 contain specifications for 37Air Force data elements determined to be algorithmically derivable from ATA data.
Fifteen of these elements, termed unique condition elements, would ultimately require
the addition of unique Air Force conditions to the ATA in order to fully support Air
Force requirements. These elements were found to represent over half of the currentdata instances applicable to event performance in the Air Force provisioning cycle.
f. Based on the results achieved in the second study phase, it Is stronglvrecommended that ATA Specification 200 data be expanded to include the required
unique Air Force elements and the conditions necessary to satisfy processing peculiar to
Air Force needs. In conjunction with ATA revision, the Air Force should introduceprocessing to perform the algorithms/conversions for the transform of currently
available ATA data into MIL-STD-1552A and the Addendum compatible elements. The
0104
Air Force would then be in a position to take advantage of the efficiencies inherent to
the use of ATA data. Requirements determination would still be performed by the AirU Force, but it would be largely based on manufacturer provided data. It Is anticipated
that this technique could be effectively employed by the Air Force to enforce Buy-Back
provisions designed to further enhance cost-effective provisioning.
g. Figure 3 illustrates the benefits of incorporating ATA data into the Air
Force provisioning cycle. The addition of unique Air Force elements to currently
available ATA data combined with the elimination of unused elements unique to D220
processing would result in a 15% reduction in data applied to provisioning event
performance. The addition of unique data element conditions to amplify currently
available ATA data representations would result in an additional 6% decrease in Air
Force provisioning data application. The conversion of available ATA data to
accomodate Air Force requirements would achieve an overall 6% element reduction.
h. Total Air Force provisioning data requirements would be reduced by 27%
where the application of manufacturer provided data (Designation MB) would decrease
by 11%, Air Force data provided to manufacturers (BM) down substantially by 87%, and
internal Air Force data (B) down 35%.
L. It is further recommended that the findings of the New Approach to Air
Force Provisioning study be Implemented Independently of modification to the D220
Provisioning system. Conversion logic and algorithm development should be incor-:porated in front-end processing designed to effectively transform procured ATA data
into MIL-STD-1552A and the Addendum compatible format. In this manner, D220
would not be effected as it is currently configured.
6 105
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2. Results
a. Appendix A contains the fundamental analytic tool developed In the firststudy phase to represent the similarities, differences, advantages and disadvantages ofthe Air Force and commercial provisioning methods. The designation codes of Table 4were used to represent the Air Force and commercial provisioning data applicable totheir respective provisioning method. World Airline Suppliers' Guide data definitionswere employed to segment data elements into five operational categories to emphasizethe similarities and differences between the commonly applied operational data.
b. An extract of Air Force provisioning events and their applicable dataelements from the operationally organized Provisioning Matrix Is presented inA22endix B. The 14 symbolic Provisioning Matrix designation codes were reduced tothree primitive codes depicting the flow of information from the manufacturer to theAir Force (code MB), from the Air Force to the manufacturer (code BM), andmangement/control data internal to'the Air Force (code B). The resulting Air ForceEvent Matrix was determined to contain 28 events and 85 provisioning data elements.
C. The Air Force Event Matrix was restricted in Appendix BI to those data
elements determined either to be totally unique to Air Force provisioning or to Includeunique conditions as well as conditions commonly available from ATA data. Tables 10,11, 12 and 13 characterize the Impact of these elements on Air Force provisioning.Appendix 131.1 contains an extract of Appendix 131 for the unique elements whileAppndix B1.2 depicts a unique condition extract.
d. Appendix B2 presents an extract of the Air Force Event Matrix for dataelements related to ATA data through the formulation of major or minor algorithms.Major algorithmic elements are specified exclusively In A~dxB. while the minorelements are presented In Appendix B2.2.
e. Air Force provisioning data elements determined to be Identical to ATAdata or identical following direct conversion are extracted from the Air Force EventMatrix in Appendix B3 while Appendix B4 Is restricted to Air Force provisioning datadetermined to be Infrequently applied throughout the provisioning cycle.
£ 107
f. A series of "C" Appendices were developed to correspond to the type B)
appendices for the proposed Air Force Event Matrix achieved through the successiveapplication of cornmercially available ATA provisioning data.
Appendix Cl corresponds to Appendix Bl for the application of proposed AirForce unique and unique condition provisioning data elements. Similarly, Appendices
C1.1, C1.2, C2, 02.1, 02.2 and C3 respectively correspond to Appendices B1.1, B1.2,B2, B2.1, B2.2 and B3 proposed for Air Force provisioning.
g. Appendix D represents the most efficient method determined for Air Force
end item provisioning. This proposed Air Force Event Matrix was obtained through the
elimination of infrequently applied provisioning data elements. Table 12 provides a listof these elements in support of their removal from Appendix C.
h. Appendix E contains the briefing package presented for the final study
phase.
1001
I
SECTION V.
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Appendix E
NEW APPROACH TO AIR FORCE PROVISIONING BRIEFING
Section Page
I - BRIEFING REVIEW 1771. Results 177
Figure 1 - ATA Benefit Analysis 179
11. - BRIEFING RECJMMENDATIONS 1801. ATA Provisioning Data 180
2. Data Element Compatibility - Identical 1803. Data Element Compatibility - Conversion 180
4. Data Element Compatibility - Unique Condition 1805. Data Element Compatibility - Unique 1806. Data Element Compatibility - Unused Unique 180 ,37. MIL-STD-1552A and Addendum Format 181
8. Requirements Determination 181
Ill. - BRIEFING DATA PRESENTATION
1. Air Force/ATA Data Compatibility 182
2. Air Force Event Matrix Compatibility 1893. Air Force Event Matrix Commonality 191
4. Air Force Benefit Analysis 1935. Air Force Benefit Profile 194
6. Event Matrix Disposition 1957. Air Force Data Disposition 196
175_ - ~---__--.-.--O
f Appendix E (Continued)
NEW APPROACH TO AIR FORCE PROVISIONING BRIEFING
Section Pae
BRIEFING DATA TABLES
Table 1 Air Force/ATA Data Compatibility,Study Revision Summary 182
Table 1A Air Force/ATA Data Compatibility,Control Data Refinement 183
Table 1B Air Force/ATA Data Compatibility,Application Data Refinement 184
Table 1C Air Force/ATA Data Compatibility,Technical Data Refinement 185
Table 1D Air Force/ATA Data Compatibility,Procuement Data Refinement 187
Table IE Air Force/ATA Data Compatibility,Administration Data Refinement 188
Table 2 Air Force Event Matrix Compatibility,Summary 189
Table 3 Air Force/ATA Event Matrix Commonality,Event Rank 191
Table 4 Air Force Benefit Analysis, ATA ReducedElements 193
Table 5 Air Force Benefit Profile, ATA DataApplication 194
Table 6 Event Matrix Disposition 195
Table 7 Air Force Data Disposition, Summary 196
Table 7A Air Force Data Disposition, RecommendedATA Addition 197
Table 7B Air Force Data Disposition,Not Recommended ATA Addition 198
Table 7C Air Force Data Disposition,Recommended ATA ConversIon/ApplicatIon 199
(ITS 17/6
K--- - . - -
SECTION I 3BRIEFING REVIEW
RESULTS
a. The New Approach to Air Force Provisioning Study focused on the
applicability of commercial provisioning to the cost effective provi-
sioning of Air Force end items other than major system acquisitions and
modifications.
b. The first study phase defined the correlation and/or difference betweenthe Air Force and the Commercial provisioning methodologies.
c. Nearly one-third of the Air force provisioning events and one-half ofthe applicable provisioning data was identified to be unique to AirForce provisioning.
d. Internal buyer data and buyer produced manufacturer data requirementswere determined to have a significant impact on the complexdty of AirForce provisioning.
e. Commercial provisioning data standardized according to ATA speciffea-tlora virtually eliminated buyer data requirements In the commercial
provisioning cycle.
f. The decision-tree analysis performed in the second study phase revealedthat unique Air Force provisioning requirements could largely beaccommodated through the application of commercially available ATAdata.
g. Nearly 50 perent of the Air Force MIL-STD-1552A and the Addendum
data requirements were Identified to be currently available from algo-rlthmlcally converted ATA data.
,)1 ',
h. Analysis verified that unique Air Force data provisioning requirementswould be completely satisfied through the addition of eight data ele-ments to the ATA system.
1. The majority of the data elements unique to Air Force provisioning
were determined to be virtually unused in the current Air Force pro vi-
sioning cycle.
j. The deletion of infrequently applied data elements from the D220 AirForce provisioning system was analytically projected to improve Air
Force provisioning efficiency.
k. The retention of unique D220 data exclusively used for purposes ofinternal management and control was revealed to have minimal impacton Air Force provisioning efficiency.
1. The application of commercially available ATA provisioning data,including the addition of the commercial buy-back provisioning event,
to the Air Force provisioning cycle was identified as the most costeffective methiod of provisioning end items.
M. The decision-tree benefit analysis revealed that ATA data would signif-
icantly reduce Inter~nal Air Force management and control and virtually
eliminate data requirements from the Air Force to the manufacturer.
n. The analysis Indicated that Air Force provisioning event data would be
reduced, even with the addition of the recommended buy-back event, by
over 25 percent.
178
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SECTION 11
BRIEFING RECOMNMENDATIONS
1. ATA Provisioning Data
a. Purchase Available Commercial provisioning data standardized accord-ing to ATA Specification 200 for Air Force end item provisioning.
2. Data Element Compatibility - Identical
a. Extract ATA data Identical to Air Force. data for eventual D220 system
input.
3. Data Element Compatibility - Conversion
a. Develop automated ATA data reduction algorithms for data transf or-mation according to MIL-STD-1552A and Addendum standards.
(.4. Data Element Compatibility - Unique Condition
a. Extract ATA data identical to Air Force data with the exception ofunique Air Force conditions to investigate Its potential for D220 input.
b. Work with the Air Transport Association to exiand Specification '200 toinclude the additional required Air Force element conditions.
5. Data Element Compatibility - Unique
a. Work with ATA to expand Specification 200 to include the eight dataelements unique to Air Force provisioning.
6. Data Element Compatibility - Unused Unique
a. Delete unused Air Force provisioning data elements from D220 systemprocessing logic.
IS
7. MIL-STD-1552A and Addendum Format
a. Integrate compatible data from ATA and format according to currentD220 system standards MEL-STD-1552A and the Air Force Addendum.
This will support the application of ATA data to Air Force provisioning
without modification of the D220 Provisioning system.
8. Requirements Determination
a. Perform requirements determination based largely on manufacturer
provided data. Investigate the viability of manufacturer buy-back pro-
visions in this provisioning mode.
SECTION III
BRIEFING DATA PRESENTATION
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