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DTIC ADA426683: The Effects of Equipment Age on Mission-Critical Failure Rates: A study of M1 Tanks PDF

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Preview DTIC ADA426683: The Effects of Equipment Age on Mission-Critical Failure Rates: A study of M1 Tanks

THE EFFECTS OF EQUIPMENT AGE ox Misston-CRiTiCAL FarLurg Rares fai Tanks ERIC PELTZ LSA COLABELLA BRIAN WH LIAMS PATRICIA M. BOREN EQurIPMENT AGE on Mrsston-Crr Farure Rates CAL 4 Stusty of fa Tans PRIC PELTZ usa couse cia) WILLIAMS DISTRIBUTION STATEMENT A, Approved fer Public Release Uistribution Untinited 20041008 316 Sepved or RAND hs sane sas i de pat sateen bythe Un Saree My ener Content Ri DASDEDT D.C 003, ‘he RAND Canparacon & 2 woapand:sezarch oegersaton peering djoctive analysis nf effscave aolsiont thar addeee che challenger ng, tae public and priate sssraee around che world. RAND's prc rn sae af a eae ein ves lk ths RAND" ica erga exec BUS Aan lye 2 Vaposgh 2008 RAN Coxpocion AW cightscersved. No part of his boole muy be reprodvosd in ary fa by any ehcemace ov meshanisal mera funclucing phorscopyin rcoiding, a iaforattion sorage and vecieall wirkexe pencil a veing Pan RAND bled 2096 by the HANI) Cargoon Maa Sst, PO, Bae DUBE, Sees Mes, CA SUE 1260 Soa ages Sues Alga VA 22502-5050 Nan.€ 02, Psu PA C32!3.2516 RANTHUR picid Sia, Sake 3 "one ORT decimesss atin aban wich inormliry, ar; ‘isudbution Senco Veleghone 10 3 ‘Sas (10% 451-0925 nl oer PREFACE ‘Due w beget limir, the serves ees eLosuuy Army voupen tems are being extevde. There i 4 widspevtd baie thatthe reaaling Ineraasea in feet ages aro ur will bo-ereuli roading and cost srablems. The Any has Userufore ached a progrars to reba and selectively upgrily dda sper, manyof whieh crrtently es ceed Meet age Lurgots ‘bis program ts knosen aa recapyealialion Brcary, However ital recapitalization nlm combined itt invescments it dust eyuipmeot have strained the Amy Budget, and couple ECAP of eeront syed tees has heen found unsfontable rhs. the Ullice 0° he Deputy Chiet of taf G-8 Uaogiamn), die Oiics a thr Duyuly Chiet nf Sat, G-3 ‘Operations and Plann, ue OM of the Depuly Chief of staf, -< Tagtetes), the Olive of Lc ssh! Se= eure nf Ihe Army tar Acquisition, Logisics, und Technolgy (OASALSIT?, end the Army Materiel Cominmaud (AMC ha: horn “nninicyeeh syareme foe type auld partion of th lsc shoul he ecapituvaed end ening shat thas cenewal proces sul involve id extent af wark foreach “overhaul”, Avcoringly, QASAIAT TV ia Sponstring RAND strove Center iesearch cat bow eye age alfoecs readiness and tesoultee uxquiseinents, un ail avalysen in supper oF HEGAP decisions, This repart device one euzngonent of is say: an assesir ant the relationship be.weun lah ago ace the minsion-criiel fale tae for the MIL Alums 20k Hud:ngs skovld be of ierest to eo some planes layislics analysand weapon mestem analyst, teat goon ent la ate ‘his wesceschs has eos cyuuductod lo the Miitaey Cagis Program of RAND array Gunter a Zeal funded research arc evelog- ‘ens eanterspamnred be Hue United Skies uns or ee nforeaallun up WAND Avaya Caner, coreart ihe Direc of peruciuus(lephaiie 40 308 OUT, extension 611 TRAX ATO-I81-602;¢-trl Marcy _Agenoneeand arg, ae itch: srmya Center's Wel soa, hfpsonne an organt CONTENTS Prete Hi Vignes vii sable, a Smunacy Aekaorstedgrents si ‘aasery ai hapa One TSTRODIICTION 1 ChaprerTiso MTTODOLOGY 8 Tawa Sources 8 Sample Chases 4 Measures n Tank Study Varabtes 1 System Falhures " Aue M ‘Accumulated Veage Doing the Suay Peri ica ‘pings : "7 eatin 18 Suheyseem Staak arables Me ‘ea fetinement Tecluiquss 9 Tecusion nf Observations 19 Imputatint 19 Amaljaee 2 “Tam Snes Analysis Subsyatens Stay Analyte Chapter zee RFAUITS Tak sty Tesh Sebsystert Stud Resets ‘ivexpretavon of Susie els Rehnild Wrscs Ungrade Candidates TheTin Beran Age-Falare Relationships ad Pat Senstely Analy Resale “Atesnati Inputafion Appraach ‘Audlanal Canteal Variable or Odamecsr Rese ‘Atesuathe Regression Techniques inthe Tank Seudly ‘Rtoutstive Regesaton Teshniqpes nthe Stosesrem ‘sluly soos Chapter Pour TPLICATIONS, Appendic A. GFNFRA, DRSCRIPTIONS OF SIATISIICS USELI B,DISTRIRUTION OF ATURE DATA . CkOSS VALIDATION OF TANESTHDY MODEL D, PLUIS DF SUBSESTEMS PRFTACTRD MEAN RATIUIRES BYAGLAND USAGE biblingraphy FIGURES 11. Llszard Functions with Peammmeed Wear ou Heyions. nr 12 Llczard Funedioas Wchout Pronannesd Weaedul Regions. 1 21. Nuuber of Santis af Usage Data por Tauk by Lneation 12 22. Disutberion of ank age by Teal 12 23. MIAT Age Histagiam, 3 24. MIA2 Age Hisingram 1B 25. Diwbvrion of nk Voge by Lacativa Is 2A Dir bevien ofTalia MIAL Glumoier Reading te Age 6 22. Die betien Toil 142 Gdumnouer Readinga tae Age + 1, Predicioe Muanabailurcrfover 180 days) hyTanke Age | 28 83, Prolilu! Mean Haines hy gear Fastin J vel 98 perce Camfience Rava 1A dey, tote = 5 hum) 2 23, Prodictee tea Failore fw 1tidigs) Uy au Usiue 0 34, Proliciee Maan Failoree at Second Tier Subsystum: by Age Laearion 1, 18 days) 8 35, Predicted Mean Tive CoitolFalusus by fae fr the MIA‘s, WI ADa, ard Conuiliut of MALS and W1A2¢ T 9eaon 1, Leda) “ BA. Predicted Moa Tuiluaes uf Socomd-tise Subayarenna bby Hsoge Locaiou 1 = dns 6 prey 1 Age eon oe eis Rat Tora Pars Desogrd lucy Study Period) per Bulbeystem hy ge Pazis Domand per Pav Type by Age Prudievel biaea Part Flutes Versa Tank Age {haestion 1,780 ys Prednced Mean Faoree by Ago for Mdsoulic ad Power Tie Subsystems, Rased am Maleple Inpunation stodel ocatont 1, 16a) Preaned Mea Failures by Usage 0 Tiedusle ane Phaser Tain Sumpstoms sed om eaeliple Smpiretinn Models Teeatian 1-160 days) Contin Tngerwal Wes mye fr tuple Impuarinn and Mesn Impatation Sveral! Tank Stacy ce? ‘GAM Pavelotel ean Feinios 0 Charis. Hire Gouuel Harsave, and Poseer Train Sohaystems by Hetiug 1 10 days) 2 Pesce fdeatve Baus Fy Pose Trin GAM Cane 115 Perec baie Wats Fo Chass GAM Can ‘Ns Perea: nf Katt fou ie Canta) Gant cmv a5 Pereers Ganev: Rares ir Pes Fa GAME Carve, vith Eerapalatian Pest Age I 5 Poccont Gantider oe Rer cs Chassic GAM Cus 2x kxttapolatoe Past Sep | 85 Pescosn Conde. Rare fr Fire Conirul GAM ‘Gusve, sith Laciapoltion Past Age 15 Aureate Plo of Hedloted Mean Feihires af Second Her Sapystemts by Age Location |, 180 days hats nf Faluse Cata Gvespersion organic uf allalion FaBure Distdbnaions 3d Tosa Diaribution in (st Ganaliy Dhslon Cernparisen uf Talalion Faikie Disttbusions sud Poicsan Diiburion nit fanuy Cidston Cornpirisnm of Raration Fuihure Distebutions aud Poteson Thiam in Ct Taniry wud TstALNOS Lisieions re hiey wo Comparison of Baltalon haley Disetbutiona and Peiswu Distdbuvon iu nd lofanire Division 2» Coreparison of Button Face Distrhations and Voisin Dissbution in 3rd Infantry Dizon —-— Comparison of Raration Failare Dietritntions aad Tofaeem Ditriariny in Jet fanny aad se Azmor Diisions:Euope Pardiived Bean Hull dadlures by Pack Age Piedvel Mean Ill ¥ailures by Tack Urge Predivel Meat Chassis Falanes by Tank Age Predicted Mean Chassis Fares by'Tank Usage: relied Mean Power Train Flares hy Tank Age Predictod Mean Povir'rzta Kaila hy Tank Wrage Bredictnd Mear Torr Fatimea yTenk ge Predicted Maw TurnetFathtes by Tank Usege Dresited Mear Gun Failures hy Tass ge Dresicted Mear Gun Pailures hy Teas Usage Dresieted Mear Fire Cpoual Talla uy lik ge Predicted Mest Tire Conch Failuves Uy Lau Usage DPreddeted Mes, Le sia ball ues Punk ge Predicted Mes: Leesa bull ues by Tank Usage Predicted Mest: Hardstare Failun by'lank Age Prodiclad Mest Hfardare tailunes by Tak Tage Prodicled Meer Hydraute Fai ris hy-Tank Age Prodiciel Meer Hyeiantic Ft cies ny Tak Usage

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