military standard
Transcription
military standard
NOT MEASUREMENT SENSIUYE h MIL-STWI05E 10 MAY 1989 SUPERSEDING MIL-STD-105D 29 APRIL 1963 MILITARY STANDARD SAMPLING PROCEDURES AND TABLES FOR INSPECTION BY ATTRIBUTES AMSC N/A AREA Qcil ● ~~~ & Approved for public reiesse; dktribution is Unlimfi !QL-”SI’D105E DEPA~ W DEFENSE Washbgmn, DC 20301 SAT*LDG P~ T I!ND’ZABESFOR INSP=TI@JBYMTNBUES and Jqencies 1. Ttis tilitarystandad is approvedfor use by all Depsmmms of ~~~ of ~f-” . Cemmm&tiom. additions,Wetions) and any 2. Beneficial~.ts peeine.ntdatawhi~ may beef usein~this~ shouldbe addressedto: CnRInancier Dwelopnent Amy AmamE!!!Rem-a, ‘+-king Ckmer M-IN: SK?R-BAC-WBM!J . 6 Picatinnytisenal,NJ 07806-5000 Us. by usi..g the self-a=-essed&.andardizat ion Dmmmt (DD Fom 1426)~L-hq at the md of this docmmt ii and m~ or PrepSal letter. MZL-S’IZ+1C5Z mRE3m*” ms providessawling proce&res and referwm tables for use in on the pxobabiiis.icrecu.+mce 05 e%.ts when a sa~ies of-iots or bat~s produ~ ti a stableenvironmrt. are of an This publicationshouldbe-used to guide the user in the ~kpmnt inspee.ionStratw that providesa co=. eff~ive qroach to attaining ats. The te-&%i~ reqJ cm-:idm~ in pro&t ~liance wi”thca%racaual user is warned of the assumedrisks relativeto the *sem sanple size and w-. ~ifications shouldnot contakn requirement s for use of specific Q.z?s, !23Z shxld “.!y provideAQL’s or H?D’s as a -~rmem. pkns fc= coxinuous, ra’hr than lot inspection,are contm iii M ~L-.STD-lO5E GmTmTs Page Paragraph 1. 1.1 1.2 2. 2.1 3. 3.1 3.2 3.3 3.4 3.5 2.6 3.7 3.e 3.9 3.10 3.11 3.12 3.13 3.14 3.15 3.16 3.17 3.18 3.19 3.20 3.21 3.22 3.23 4. 4.1 4.2 4.3 4.4 4.4.1 4.4.2 4.4.3 SCOPE............................................... 1 ........................................... ....................................... 1 -se *liation ~IxmPEurs- 1 ............................... 1 qplicable .................................... 1 =INITIONS ......................................... 1 Acq.able Qdality Ievel WE) .................... Average Outgo ~Quality(lQ) .................... Averaoe OutqoingQualityWt (AOQIJ ............. Classificationof Defects......................... CriticalDefect................................... CriticalDefective................................ Defect............................................ D@eccive................. ........................ DefectsPer Ru@edUn its... ...................... .................................. ~i~...... ~aim by Attribxes .......................... w&or Batdl...................................... Im or Batch Size................................. Major Defect...................................... Major Defective................................... Minor Defect ..................................... Minor Defeaive. .................................. PercentDefective................................. ~s Average................................... Sanple............................................ Sanple Size COde~tt=v ........................... Salq?ling Plan..................................... unit of Procalct ................................... 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 W. ● ~mxm=’nm 4 . . ... ....... ... ... . ... .. .. ...... 4 4 5 5 5 5 5 ................................ Written ~ NmcVnfozmne .................................... Fonmticm and Itificatim of ~ or =Cks. .. ............................................... ........................ ML use...0...........*... Umkation ........ ............................... choosingAQU ..................................... ● . iv mL-sm-lo5E CcNTmrs Conttiued. - Page Paragraph ~B~ Sarrpling. ........................................ .......................... [email protected] 4.5.1 The of Sanpling.................. .............. 4.5.2 Double or MQtiple Sampling ...................... 4.5.3 .................... ....... 4.6 ~on P~ ............................. 4.7 WitdlirlgP~ .................... Normalto Tightened......0... 4.7.1 4.7.2 ................... Tightto Normal .....0.... .. ..............*.....**...**.. 4.7.3 Normalto ~ 4.7.4 Rduced to Normal................................ 4.8 Disconthtion of~on... ................. 4.9 SanplingPlans................................... 4.9.1 ~ion Wvel .................0............... 4.9.2 Co& utters ..................................... 4.9.3 ~aining San@ing Plan.......................... 4.9.4 TYF= of sapling Pkns .......................... 4.10 Determinationof~ability. .................. 4.lC.1 P~Defective~ion. .................... 4.lC.1.A Single Sanql@ Plan............................. 4.1(?.1.2Double Sa@ing Plan............................. 4.10.1.3 FhltipleSanpling. ....... Plan.......... *........ 4.10.1.4 ~ for Redu*IrqeCtion ......... p~ 4.10.2 ............ DefectsPer ?lundmdt?nit s~ion 4.11 Idniting@ality Protection.. .................... 4.12 ~s .................*......................... 4.12.1 ~t@~merkic ~ .................. A~ge Sanple Size Comes... .................... 4.12.2 ● 5 5 5: 5 ● : 6 6 6 6 ● ● ● “7 7 7 7 7 8 8 8 8 8 8 8 9 9 9 9 9 5. ...............*.. ........... TABES .............*...* 11 I. Sa@e Size Coda Mitters.............. o.......... Single San@ing Plans for Normal~im Naster table)...................... Single Smpliq Plms for Tightewd ~i~ ~=t~le) o..o-oooo= ==oo.=.e.... Single Sapling Plans for ~ ~ia (Mas@rtable)...................... Double SamplingPlans for Normal ~i~ -a~le).. oo......o.BOO....... Dcxble Sapling Plans for Tight~m ~er=e) ...................... Double SamplimgP1.ansfor Reduced ~im (Mastertable)...................... 13 Table II-A. II-B. II-C. III-A. III-B. III-C. v 14 15 16 17 18 19 MIL-STW105E mt’n’mrs- Conthued. Page Table Mltiple Sa@ing Plans for Norml Inspectim M3ster-le) ...................... M.dtipleSanplingPlans for Tightened IV-B. ~im (MastertaMe) ...................... Mdtiple SamplingPlans for ReduOed TV-c. Inspection(Mastertable)...................... IAmit F~s for V-A. Average Outgoinguty lwml~on (Sin@e Zq) .....-...o.. V-B. ~ge Outgo* QualityLimit Fa=ors for TightenedIMpeCtiOn (S=le ~1~).:...-..” %3-A. uting Quality (h Perumt Def-iue) for Wch a Pa = 10% (forNomal Inspemion, S~le Saxrpling) ....................-..-...-*o” LimitingQuality (inDefectsper ~ V3-3. Unks) for which the Pa = 10% (forNozmal Inspection,Single Sanplhg).-..--------------XI-A. Unliziq Quality (inP~t mfecti=) fo~ khid. “thePa = 5% (forNom@ ~ionl SingleSawling)................................ LimitingQuality (fiDefectsper Hmdma VII-B. Units) for which the Pa = 5% (f= W* ....*.............. Siwle S=@@ ~m, ~*~1Li,mitNmbersfor ~ Inspection... .......... Auerage SampleSize Cumes for DDuble and IX. FmltipleS.mpliq .............-...--.-......-.c~ltig pl= and cparatirq~amic Cumes (andData) for: San@e Size ~ktter A........................ X-A. X-3 . Sanple Size ~Utter B ......................... x-c. Sanple Size Mkter C ..........e00-00o....... X-D. San@e Size Co& LetterD ........................ X-E. Sanple Size ~Utter E ........................ San@e Size Mletter F ........................ X-F. Sanple Size MUtter G ...............--..-..”x-G . X-H. ~le Size @ckletter H ........................ X-J. qksM-~ J............*..”””””.”.” X-K. Sauple Size MIetter K .......----------------X-L. ~le S~M~ L ........................ x-M. Sanple Size M~M ...........e............ X-N. San@eSizeM E~N . ....................... Sal@esizeM wtterP . . . . . . . . . . . . . . . ..”....”. x-P. ~le S~Mk= Q.......*”+”*.==.*”+”*..= x-Q. X-R. ~le S@ Mk=R ..................=””~”” IV-A. vi 20 22 24 26 27 28 29 33 31 32 “ 33 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 mL-sl’wlo5E , CCN’TS - Continued. Page x-s. ~~e size ~ ~tt~v S ........................ 66 Paragraph 6. 6.1 6.2 6.3 ........*.............................. ● . . . . use................................... (keyuofi) tist~ ................” Issw . . . . . . . . . . . . . . . . . . . . ~fr~P~im v Intf2nckci 67 Subject’I’em 67 mlmsAL. ............................. 67 68 F2L-S’ID-105S 1. ~~~ This ~li=tim establisheslot or bat~ sapling plans and 1.2 Pqse. publi=tion shallnot & irfterproceduresfor ~ion by attributes. ‘1’nis words s. m p.reted to superm3e or confli= with any amtraCtti ~ to the contractor’s use of refer only “a~”, “acceptable”* e tc, “awqX”, ~anddonotinplyana~ W the sanplingpkms Writin this of aqability by the -theGove&mmnt to accept any prcdom. Deterfnination me Sarfpling plans Gwen ‘:=% shall k as desm~ in contractual~ts. *sdhd in Ws standad m awli-le to U’s of .01pe~t or ~~ and are‘the.ref ore not suitablefor ++lications where quality1-1s in the defemive ;az.s per million range m be realiz05. are applicable, items. a. ElrIc b. Cmponents c. Qerations d. Materialsin process. e. Su@ies in storage. f. Maintenance~ations. 9. Data or records. h. Mmbistrative ~Theseplans are intendedprimarilyto be used for a continuingseries of lots The plans may also be used for the inspectionof isolatedlots or 0: batches. Mches, W., in MS latter=, m = K =i~ to ~t ~ ~m characteristicmrves to find a plan whichwill yieldthe desiredprotectim (see4.11). 2. 2.1 N&. -liable. 3. =INITICNS 1 FEL-S’IW105E # ~able QualityLevel (ML) . When a mntinuous seriesof 10Es is 3.1 z considered,the AQiiis tbe qualitylevelfib, for the roses of sa@@ ~.ion, is the limitof a satisfactoryprocessaverage (Se 3.19). NOTE: A sanpl~ plan and an AQL are chosenin accordanm with the risk assured. Useofa@ueoflQL fora a2rtain&!fector group of &fec5s indicam that the pbded the ql~ PM till acoeptthe -t majorityof the lots or bata prooess -X level of ~ defectiwe (or&fects per huxlred units) in these Thus, the AQL is lots or batchesbe no greaterthan the ~ignated value of A& a ckignated value of ~ defective (or&facts per hundredunits) for fich ~re bing used. The btswill~a~+m~oftk timbythesaqlingp of a~ ~liw pl~ prfi~ here~ ~ ~ ~ tit ~ p~i~ty at the ~ignat~ A@ ~ue ~ ~ the sanplesize,~ Z~N ~Xr :0= 1~~ samples -n for mall ones, for a givenAQL. The AQL alone does not idelm=if y the chanoes of aqing or rejectingindividual10Ls or batches M m...-y frun a seriesof lots or batches, dire~ relates to what might be ~ed to prm”i- * steps indi=ted h -s publi~tion aze “taken. lt is ~sary the relative ~ of t.te plan to *texmine =eYer to the operattigdarad.=”iscic risks. 3.3 Average Qxqoing QualityLimit (ADQL). The M(2L is the maximum ACQ fora ML tiues are givm M 9L~ a9L~~ -lW pkn. Factors for ~@? Tabie V-A for each of “~ singlesaqlimg plans for normal irqection and in “on. Table V-3 for each of the singlesmpling plans foz tightened~ of defectsis t!! enumerationof 3.4 ClassifimEion of Defects. A classification of the unit of pxduct classifiedamrdirq to their seri~. pcsstiie defects 3.5 Czlti~ DefS&. A criticaldefect is a ~fect that j~ and ~ri=ce ~mte would result in hazardousor unsafeconditionsfor individualsUS*, ~ ora ~fecttbat~ti --, or ~upontheprodwt, of ttE ~cal fun-on of a indicate is likely to prevent perf~ experim title. major * itm SU* as a Ship, aixuaft # tank, nbsile, or ~ 3.6 Critidl Defective. A criticalckfectiveis a unit of prockt uhi~ contti one or mre criti~ defectsti may also contdn mejor and/or minor defects. 3.7 Defect., A defect is any nonconformanm of the unit of product with specimTEi%@l=mts . 2 laks’m-lo5E 3.8 Def-.ive. A def=~ive is a unit of productwhich containsone or mre defe.s. Defe.s per HunckedUnits. The nwber of defe=s per hundred units of ~Y gim quantityof units of productis one hundredtimes the mm&r of &fects being possible in any unit of product) con=zinedtherein (one or mme *fec&s diviti by the total nunberof units of product,i.e.: 3.5 Defects p“ = hundredunits Nunberof &fects x Nmbar of units ~~ 100 ~gt 3.2C Impaction. Inspectionis the processof ~imt cr o-.?m.isecmparing the unit of pmdu~. with the reqair-nts. testmt T ~io~ by Attribtes. Inspectim by attributesis inspectionwhe~ eizher ‘& unit of productis classifiedsimplyas defectiveor non+ef=eive, or to a givm ~he number of defe~.sti the unit c= prcdue.is courted,with re~st ~~:i~m or set or requirements. 7,1i --- or -t&l. The term lot ox katch shall man “inspectionlot” or 3.12 tit “i==se.ion batcb.”,i.e., a collee.ionof units of product from whi~ a sanple is EC be dram and i~ed md may dif5erfrm a mll-~ion of units designated as a 10= or bat~ for 0“= purposes (e.g., production,shipnent,etc.). 3.13 bt or Batch Size. The lot or ~t~ A a lot‘0:bata. size is the number of units of prtib 3.14 M3jor Defect. A major defecL is a -fact, other than criti-, that is liKelyto resultin failure,or to reducemateriallythe usabilityof the unit of productfor its int~~ajor * f~i~. A major defectiveis a unit of product whid? containSone 0: mre major defects,* may alSO contain rrtiordefecLsbut containsno aitidefect. 3.15 isnot-yto~ 3.16 Minor Defect. Anbm~i.Sa&fti~t materiallythe usabilityof the unit of productfox its intpuzpose~m is e ~WviIgU*~@m tkeffeCtiWUSec fran ~ &par&m operatim of the unit. 3-17 Minor -— . . . Def-i-. — --ox more minor &facts A minor defectiveis a unit of P-a M* no aititi or major *feet. mtamtains 3 ~ ~ !!GL-SB105!2 3.16 Per-m Defective. The percent &femive of any givm quantityof units of produe~is one hur&4 tires the n~of defemive units of prda~. contairEd thereindiviti by the total mmber of units of produa, i.e.: ?ercentDefective = Nmber of &fectives x ~“ of lmits ~ed 100 &fective or 3..19ProcessAverage. The Drocess average is the average~t of product averagenmber of &fects pez hw@red units (whichever is ~li~le) szhitted by the sq@ier for originalinspection. Originalinspectionis ~ firstinspectionof a pa.z.zicula.r quantityof produceas d.istinguis@dfran the ~ion of productwhi~ has been resu&nittedafterprior rejection. 3.2C Sa~le. A sampleconsi=.sof one or mre u..irsof productdrawn fran a 10= to their or &z&, the units of the sem@e being sele~beda= randomwithoutrq~z:icy. ~ nmtx= C: units of product in the sample is the sarplesize. 3.22 SampleSize Coae Utter. ElO.ngWitihthe WA fcr l-tins The sanple size code letter is a deviceused a sapling plan cm a table cf semplingplans. 3.22 A sanplingplan indc!caces the nunt?erof units of product Sa?’@hg Plan. ad (sanplesize or seriesof fromeat’.io= or bat&. which m to be insoect sa@e sizes)and the criteriafor cke.rmi.%ngthe acceptabilityof the lot or batch (acceptan02anc rejectionnumbers). ?.23 ‘Unitof Prodxz . The unit of produ~. is the thing inspectedin o-r to &.emme lts classif~mtion as defectiveor non-def-hive or to count the ~“ of +.fecbs. It my be a single article,a p&ir, a set, a hmgth, an =8 ~ operation,a volme, a cmpcmmt of an end product,or tlw end prociuaitself. SWPIY, The unit of p~GL may or my not be the same as the unit of ~, production,or sh.ipnent. 4. QN=AL RmJIm=m are o~ily davelopedami made 4.1. Written P~ . Written p~ “Ve’s~,lqmnmquast. -avaalablefor * Govemmm ~ writtenp~ indime me of this stmdard, they shall amply with mq’111 raErltsof this stmdard arxlZefermce appropriate~ as ~. ofpro&ct sbaube=rP=4.2 Nonconformance . ‘he extent of nonconf~ titS. eitherin terns Of peroentCkfectiveor in term of ckfectsper ~ MIPST’D-105E 4.3 Fo.mationand Identificationof Uts or Bat&es. Theproductshauke as-led into i-tifiable lots, -lots, batches,or in otkr manneras may be paaibed . Ea* lot ox bat~ shall,as far as is practicable,mnsist of units of prcduct of a singletype, grade, class,size, and composition, . manufacturedunder es-tially the sam renditions,and at ~ythesam tine . The lots or batshall be itified by the contractorand shallbe ke intar.in adequateand suitablestoragespace. 4.4 AQL. 4.4.1 AQL use. The AQL, to@ther with the SaupleSize b& plans p.mcw herein. . the sapling . ~ ln&?Lnc Letter,is used for 4.4.2 Iimita:ion. The selectionor use of an AQL shallm. inplythat the cwcractor has the right to sm@ y any defecEivewilt of product. 4.4.3 Chmshc ?@’&. Diff~t ~Ls IllSy be Chosenfor ~ of &fects cms.ide.red colle.+.ivel y, or for individual&fee&s. An ML for a groupof &fec my be tiosen in a~cion to AQM for individualdefects,or mkqraps, within chat group. AQL values of 10.0 or less my be expressedeither in ~t &fective or *. ~fects ~- hunckd units;those over 10.0 ZhaU be qressed ix defe.s per h!mdmd “ units only. 4.5 Saxlplinq. 4.5.1 Repmsmt ative (Stratified)Satrplinq.When ~ropriate, the rnzr&r of units in the sanple shall & sel~ed in proportionto the size of subletsor -bat-, or -s of tM lot or bat~, idmtified by q rationalcriterior when represemathHaIcpMn giswad,121e units franeaal Sublet,sub-batch or part of the lot or batdi shall be select”ed at ranch. 4.5.2 Time of San’Plhq A samplemay be dram after all the units caprising the lot or batch have bi+enassembled,or sarrple unitsmay be drawn duringassak of the lot or bat~, in uhi~ case the size of the lot or M* till k *te* kefore any ample units are dram. If tk sampleunits are drawn duringas~l~ oftklot or batda, mdif tkrejectionnmb2ris ~m!foreth lotis Curpleted,that pomim of U lot almldy cxmpletedshallbe @ected. m a oftkdefective ~shall bedmermined and ammctive actiontaken,after *. &ichanewl otorbat*shgd.lk 4.5.3 Double or Mltiple Saup1~ WherI&&le or mkiple sauplingis to be used, ea~ qle shall be selecte&Ovar the entire lot or bat~. 5 IaL-s’Iwlc5E ~ion Pr~. Normal inspectionwink-at the startof shall continueundwqed for inspection. Normal,tightenedor redu~ -bion an sumsive lots ox batd7esexq. where the each class of def~s or &fectiws *1 givm klw require -. m swit~ P~? p~ %it~ oz &2f_iveS ~ <Y” be -lied to each class of ckfecSs 4.6 4.7 %?it- P~es . normal inspectionis in effect,ti@tened 4.7.1 Normal to Tightened. ~ *mim shallk institutedwhm 2 ouc of 2, 3, 4, or 5 comecutive lots or “tted lots batches have been rejetted on originalhspection (i.e.,ignoring~ 0: btC!!S fOr thiS Fr~) . 4.?.2 Tig?l:enee to No.mal. When tightened~ion is -b effect,no.mbal inspecuon shailbe instituted*=I 5 consecutive10:s or baccbeshave -n on. co.nsidey-a-ptable on original~ 4.7.3 No.mal to R@xed. When normal inspectionis in effect,reducedir++ion shal1 be -.ituted providedthat all of the followi~ conditionsare satisfied: (ormre, as indicatedby EYW note tc 6. Tne pretig 20 lots ox batTa5~e VIII) have bee!!on no.mal ~ction aiidall have ben acceptedon original inspection;and (orbf~) fi ~ ~~es ~ ~ b. The.total nurber of ckf-i= p.re ceding 10 lots or batches (orSU* Ot&r mmber as was used for condition“a” -) is equal to or less than the a@i-le nmber given in TableVIII. If dable or mikiple smpling is in use, all samplesinspectedshouldbe ~ti-, +les only; imd Pro@cLion is at a steadyrate; and RE!cked~ “on is consi&rr &sirable. 4.7.4 RedWed to Normal. _ ~ ~ion follcwingomu shallbe institutedif any of - is in effect,normal inspection on originalinq3acEcion: a. A lot or bat~ is rejected;or b. A le. Or batd) is comi4.10.1.4,or acceptaMe under the procedueS of c. Productionbecmes -= d. Other conditims ~ant or dela~; or that normal inspectionshallbe instituted. 6 MIL-SIW105E 4.8 Discontinuation of 1~ ion. If the cumulative nmber of lots not acce~.edin a sequenceof mnsecmive LuLs on originaltightmed inspection r~achesfive,the acceptan~ prm3dures of this standardshall be discontfiued. Inqlm un~- the provisims of *thisstandardshallnot be ~ until mrrective actionhas ~ takZ7. Tigthened~ion shall then be used as if 4.7.1had been invoked. . 4.9 SanplinqPlans. 4.9.1 InspectionM. The inspectionlevel &termines the rela+~onship~ the lo: or &t* size and the sanplesize. Thehspemion levelto be used for any pa.mieti~-re@~c will be as prescribedby the contractor’swritten Three in.spec.ion levels:I, II, and 111, are g:van in Table I for -“-es. P-~ ge-.-erai use (see4.1). Normally,hspee~ion Level II is us-. Hmmmr, In~=.ion @vel I my be used whm less dis=”wtion is needed,or Ievel 111 my be used for greaterdiscrtition. Four additionalspeciallevels: S-1, S-2, S-3, mti S-4, am gimn in the same tabie and my be used where relaciveiysmall sanpiesizesace necessaryand large sa@ing risks can or W. & mlerat~. In the selectionof inspee.im ievelsS-1 tc S-4, ~ must be exercised avoidAQii mm.asistent w“iti. these ~eion levels. Lm OLk” words, the ~ inspemion levels is to keep sanplessmall when ~saxy. For of the special in.stanae, the code iectersunder S-1 go no funk: than D, equivalentto a siql sanpleof size 8, but it is cf nc use to choose S-1 if the AQL is 0.10 ~. f which the mhinm ample is 125. N3TE: Sanplesizes are designatedby wck letters..-Table I shal 4.9.2 Co& Letters. be used to find t& applicableco& letterfor the ~icular lot or batch size and the p~iked impectl“on level. 4.’3.3retainingSallp lillgPlan. TTieAQLandthe m& letter shall be usedto =ain tne sanpl.irq plan fran Tables II, III, or IV. Whm no sapling plan is availablefor a given cabination of AQL and code letter,the tables directthe user tc a differentletter. Thesa@e size to beusedisgLvm bythenew co& letter,not by t& originalletter. If this p~ leads to differentsample sizes for diff~ classesof &fects, t& code letter m ~tothe . ~ sa@e size derivedmay be used for all Classesof defec+s. & an alternativeto a sirqle sauplii plan with an ~ ~ofo, the plan with an a~ ly Mqer sauple size for e m.mberof lwithitscomeqmmbg &signated AQL (wkre available), may be ~. 7 MIL-S’ID-105E 4.9.4 Types of Sanpling Plans. Three types of sapling plans: Single,Double, and Wlziple, are givm h Tables II, III, and IV, respectively. Whe!!several :ypes of plans are availablefor a given AQL and code letter,any one may be used. A decisionu to t= of plan, either single,double,or titipler ~ ~l~le @ * letter, will ~ly & ~ ~ * ~ison bet= for a given ~ diffitity and the ~ge sanple sizes of the availableplans. the administrative 7he averageszmplesize of multipleplans is less than for -Ie (~ M ~ case co.~ to si@e aqance n-1) and both of these m always less than a si~le qle size (seeTable IX). US@lY m ~~a”~ve difficultyfor singlesmpling and the cost per unit of the sanple are lessthan for double or mltiple. 4.lG Daennina:ia of Amsmability. 4.2G.I Pe~nt Defeaive Inspection. To determinea~ ility of a lot or bate!!mder percentdefectiveinspection,the appli-le. San@@ plan shallbe used in accodance with 4.10.1.1,4.10.1.2,4.10.1-3,@ 4.3~.l.4. 4.IC.I.2 Shgie SanpLingPlan. The n-” of sanpleunits inspecxedshallbe qua2 tc the sanplesize givm by the plan. If tk n-v of =f-.if~ the sample is equalto or less than the aqan~ rnmber,t& lot or bat~ shall ‘m consideredaqable. If the nmber of &feccives is equal to or great-”than the mjemion nwker, the 10= or bat~ shall be rejected. 4.10.1.2 Double SamplinqPlan. Anuberof sa@eunkS6S?ud to the first sa@e size giw by the plan shallbe inspected. If the mmber of def=ives found m the firstsanple is equal to or less than the first~ nmber, the lot or bat- shallbe consia~le. If tb ~ of W-W found inthefirst sample is equal toorgmater than the firSt z@eCtim~l the lot or batd shallbe rejected. If tb nmber of &fectives fomd in & firstsanple is betweenthe first~c and rejectionxnzc&rs,a ~ sanpleof the sane size shallbe ~ed. TM ~ of a-i= fin the fixst and secmd aanpks shallbe ammlated. If the ~tiw ~ of mmber, the lot or batd *fectives isaqualto or less thanthesemnda~ shallh cmsickred a~le. If the cmdative rnmber of &fectives G equal toorgreaterthan~~ rejectim~,t&lOtOrk* aballbe = jetted. im. 4.10.1.4 special P~for~xnSJect Xed13=d ~im * Sanplingpmoadura may t~ or rejectionaiteria Withult aith=ac=pt== m--” ~ *l~or=*~~be-acceptable,but normal reinstatedstartingwith the next lot or batch (see4.7.4.b) . 8 . mL-Slmlo5E a-ability of a 4.10.2 Defectsw Hundredunits Inspection. To &temine ~ ion, t& promdure specified k&feCts ~“ hundredunits ~ lot Or batti for pemem 63feGive inapecxionabove shallbe “-, ex~ that the woti “defects”shallbe substitutedfor “ckfectives”. 4.~1 ~i” mg QualityProtection.The sanplingplans and associated~ given m this @liatim were designedfor use _ the units of product are prodmed in a continuingseriesof lots or batches mer a period of tire.~t ‘” the lot or batti is of an isolatedmm, it is ~irable to limit the ML mlw, Z =lec&im of sarrpling plans to those, associatedwith a ck2signated prouidenot less than a ~fied limitingqualitypmtectim -W pldns for this purpose-. be selectedby dmosing a LimitingQuality (L@ and a ~’s risk to be associatedwith it. TablesVI and VII give values of W for the If a the cmnonly used ‘bonsmer’srisks of 10 ~at and 5 ~t ~bively. s risk is recpired,the O.C. cumesandtheirtabutiffe.mc value of co~’ lazed valuesmy be used. The conceptof IQ may also be useful in specify+q the on Levels for a seriesof lots or bat-s, thus fixim mimmm L-L and ~~.i s*ie size-vhere there is saw reason for avoiding (withmre than a-gima corsmer’s risk)more than & Limking p~rtion of def-kives (or defects)in any single lot or bat~.. ● 4.X2 Cum?es. The qerathg ~ctaistic mmes for 4.12.1 @crating Characteristic ~s. shown in TableX, indi~=e the pe.roentage of lots or kt~ normal -~ion, whAti may be ~ed to be acceptedunder the various sapling plans for a given pmoess @ity. The mmes shown are for single sapling; cumes for tile and mlziple saqling are xmtchedas closelyas p-i-le. The O.C. cumes shown for AQIs greaterthan 10.0 are based on the Poisson&ibution ti are ~li~le fo= defectspax hundredunits i.nsp&tion;those for ~ of 10.0 or less and sanplesizesof 80 or less are M on the binanialdistrikmim and azz applicablefor perdefecLive~-ion; those for AQE of 10.0 or less and sarplesizes1-than 80 am based the Poissondistributionand m ~li-le eim- for defeczsper hundredunits hsoection, or for percent de@ctive .Onto the inspection(thePoissm distribution &&g an ~te q~ timid distrih.tim these conditions) . TaMhted mluas, selectedvalues or pmhabilitiesof aqanue (Pa,in ~) are gif= a& ofth CUmes -, an& in addition,for tightenedimpectx“on, and for Mperhundred units for ZoflO. O orlessand sauplesizesof800r less. 4.~2-2 Amage Sqle SizeOzrves. Averageample size mrves for ~le @ show the averagesa@e sizes wMA may mltiple sanplingam in TableIX. = levelsof prooess be qed to omzr un&r the varioussa@ing plans for qcumailmnt of ~im aml are ~roximte quality. The the m-t tha-m e= upon the Poissondistribution,and that the s&e sizes for double and multiplesamli.ngare assmed to & 0.631n and 0.25n size. respectively, where n is the MIL-SlW105E / SEXZIC)N 5 TAW3SANOG7E7VES u . <ma <4< Vvu C=W =aa” 9 CODI LETTEN 1.3 SINGLE NORMAL 14 ? s w G H we la P o n 9 SW m .. ns L u M ao II J — #w to r — o n Ii a s a c 4 e Ialu do. b. 0 12 r) 1? 01 ldJ M@ — — )4 11-6 — Single n 01 TABLE 0.40 satnpling /or tighened 01 ! km . I.e ‘plans itlspeclitm (Muster table) (s0? 4.9.3 and MO — 4.9.4) I MIb~105E SINGLE REDUCED 16 -SK)-105E 17 DOUBJ NORMI I — ? ? *V*? l,+ . ---l= _LL Idle, I . m c-- e Ilu Il.. II* hew,+1., PI., e-a~w .,.aI, h,,,*,+ ’., ,1,. - n,,.~,rw. ● 8d94 - — ,Iti+, ..I,, I VI ● .“ .w,I.-. .h.m.11..l, 11s*w1..*I. ?! 6: — : 1. Il. 441. . ...1..,+ A I,,,b,. . ..l ,..,..,,,”8 .h. w . ..4.!1.1 tm ,.. ,., ,.,, -, ,,,. $, 1....1. 1-1.. .,,...1. l.. e. tn. wh.,,. I 4. A,.,sl.l.l. 1,..,1. n n ● ( .. . I n * — I — 1. IIW pha h, l-k,. urn*I,,,., me l:. t. II ,I,lbl , It 1, — * — . II ( II . I l 61 13 I — b 1- . h ● b I — — .“ i t: II . . ;> 11 ,, I (5ee4.9.3.ml 4.9.4) DOUBI mua u MULTIPLE NORMAL 20 KUF~105E .1 I 1 ? “. .: I .. G -”--* 1.- ”----- ; I .8 -----}!-! H’ sl~l””----1 9 ~ -.--.w.ei z “*----” ------- + .. *+.-.. C.. --. s ““----- .* ----- * -“------ -.o===~ Z=Z: i - *- *-..: ‘------ . 9 .0 .--- m-. ***- .. -”--- ----- - - 9 .. -.--” .0 ----“..”---?! . . i n----- - .-- . . .. ---t ✍✍✍✚✝✝✚ D- “------ ””1----””l ----””.- o-a.. 4 -00 --------● ✍✍☛✍✎✍ ✍✍✍ -m-:= ..- ““----- f— r a---=:~ ..- -*j..-* .* .0--- - .----~~ --.--*3 ..0--- =m . ------ r. .. -.. . ..0---1 1“ .. 21 .-- . ..----1.*-”*-. ““* I I I1.-”---- ----- . “------ ------- *.- I II !I --1===---=1A -o=:~== “aa -,- i 1= o.”.-gn --- *--0--------.-------- 0-...=: .- l=lsl”=”l 2 i :.- t ...= E’” m jz d . -------I..-----1------- ----.-~ ------I ------- a a : .-- ”-.* i-----=: ------~ .- ”---0 ‘~ ---=:== --.==== 0“--.-- =1=1 +1::::::: ::::::: :::::::1::::::: -------1-------, -----:=1--”-;2 !-,. 10” ~ ;:::::: : i:i + -: I I 2 l+” II - .“-..”.,.- ● 00---. ‘-----51------- ● 0---.- 1‘------ --”” ”-0 i------- . . ..- 0 “.0.=: I‘-”---q . d = e.i Iiit :010 [11 ecw. :. .. MULTIPLE TIGHTENED 22 MULTN TIGHTEN 23 . 1 •! r : = . MULTIPLE REDUCED 24 MULTI mu 25 . 20 1? r 3is Soo Wo 12s) mo N P Q w m 1% K L M 32 30 20 9 13 22 s 3 2 SkO TABLE — 1.02! — ).014 Ju .01 1.1? 0.1! — — — — .097 I. 16 .(M 041 — — 1,73 1.% — 1.2 O.ai 1.2 1.0( 1.4 — — 0.9( 1,3 ).22).33L41 L56 1.6 1.7 l.? 2.0 1.( 0.91 1.6 1.1 1.1 — 1.0 — — Q& — ~.~: — L40 1.44 ).62 — — ).39 ).63 ).42 ).69 ).6? 1.2 — ).60 — Lhd ).s2 — ).24 )21 ).27 — L74 02s — Qwdity ).46 — — 1.16 MS — 1.17 ).11 . ).11 ).10 .061 — 074 ).12 — — 1.29 L10 — — 1.04( I06s — — Otdgoiug ‘.02! — V.A — Average I.B 1.9 2.1 — 2.2 2.5 2.4 2.? 2.6 46 1.s Factors 2.9 3m 33 3.6 4.4 3q 4.3 — 4i 74 2.s — 4.7 — C.7 5.2 5.6 — 6.3 6.1 6.9 — 6.S 12 — 4.0 — /or J 7.3 7,s 9.0 a.2 — 9.9 9,7 —. 11 II 10 — 6,5 — Ntmnd — 12 12 — 13 14 16 — Is 17 Ii — — to — — 10 — 19 21 22 — 24 24 — 27 23 — 1s — — n 29 33 — 34 4Q — 39 46 42 22 — — — 46 47 — 60 M — 63 65 69 40 fwspecjion — 73 — 72 w — 9a 12( — m — Iw 22( m — 332 — 23( — — ml ml 47q 4ot — 410 — ● — — . 6(M 7a 73 6s — — (see — Jam@iwK) 31a m — — — la M 270 Iia t7am la 10I — Ila Iw 91 — 62 — (Single — in — 1m 1la — 3.3) lmPslwlo5E I I I 3- ~ I 1“ : Z38 I Ss: I I -. I 0. ==- 1 Id I A( TWITEI . . d 8 13 20 32 50 no 125 200 31s 500 8W 0 r% F G II J u L w N 1’ () 2UO0 1250 5 c II 2 3 size Ntw A Smple :O& 0.18 0.29 0,53 0.46 0.20 0.27 0.33 0.70 0.31 0.43 I.2 IS(’I 0.065 0,10 !mpeclht!, percent 0,67 0.73 0.040 Norma! Qua[it y (in 0.49 0.46 0.015 0.025 (/or VI-A — Limiting 0.010 TAULE 1.0 0.77 0.59 1.5 I.9 2.1 2.7 3.1 6.9 0,40 0.9,4 1,2 I,2 I.3 1.7 2,0 4.s 0.25 1.4 1.6 1.9 2.4 2.9 2.3 3,1 2.5 3.7 4.6 5,4 4,3 3.3 6.5 7.6 4.8 11 16 0.65 1.0 w~~ich P& = sdmi)hg) for 0,74 o.a4 1.1 I.2 2.0 0.Is i%t~fp de/atirv) 3.5 4.0 4.9 5.9 77 , 13 16 10 37 2.5 14 18 S.6 6.4 7.7 9.0 10 14 16 19 22 27 T 24 29 34 42 30 25 20 44 54 58 10 36 41 68 6.5 (Sr?r? 4.11) 27 54 4.(J 9.4 12 8.2 11 10 12 25 1.5 10 Percent r& Wo 1220 P v Jam Soo Y u L 125 m 31s a J N — ).10 — ).29 — ).20 ).46 1.2 — 0.61 — — - 0.?1).33D.44 D.5Y D.71 — 1.0 12 — — 14 1.6 — 1.9 2.4 — 2.9 I .9 33 27 43 49 — 21 — 3.1 1.2 I .s 1.3 17 — 20 0.14 0,94 — — D84 D.7m II 0.31).43D.W — — — )49 1.2 I .0 2.9 - )6 — 2.J — 2.s 3.1 37 — 46 54 6.7 — 78 w so w — 90 — 10 12 Is — 19 !1 — 14 }6 — 23 25 — 31 24 19 — 37 29 46 . G /7 — 33 — 20 !’ 2 — 71 51 41 ul 13 2? 18 04 35 — - 40 48 59 — — 56 63 71 — 91 120 130 — I 10 — 67 100 G 25 — IJO 49 — Is — a f7 Z 10 22 — 65 78 — — — to — l.cwl — Accrpldll? (JUdily s 7.2 — ).65 I .0 — c — 040 — — 3 — 0.2! — 42 0.73 — — 10 1 Is — — — Lti! ) — 2 ).011 ).01! ‘.02! w — — — — A tuer — — M 100 — 120 150 190 — 220 z 40 — 220 MI — — 230 ml 3W z 310 — 140 — — — m 350 — 410 w w — 610 Slo 400 — iii Z’io — G la) 150 — 24a — 310 RI 65 — 61( 77( — 94[ 13M m — — — lot — w iii MO — — Iw xi I-MO — w o g = & 00 12s 200 315 500 800 1230 m u L M N P 0 R 20 F J 13 E so 0 D H s c 32 3 8 G 2 Qlze semph 0.24 0.010 0.30 0,015 TABLE Vii-A— A leuet Q ~ m n’ g z Qwdity 0.24 O.tw o.% 2.4 0.10 0.62 0,53 0.50 0.39 0.32 0.59 0.79 1.5 0,065 ● 7.7 3.4 2.7 2.4 2.6 2.1 1.8 2.1 1.6 1.6 0.97 1.3 O.ty 1.1 0.66 o.rL5 1.1 1.5 4.2 3.3 2.5 2.0 1.4 5.3 1.3 14 31 I .s j 3.8 4,4 5.4 6.6 8.4 9.4 9.1 12 21 1.0 S.o* 6.2 5.8 14 0.65 3.9 3.fl 8,9 0,40 E 3.2 5.8 0.25 Pa 2.4 1.s - 3.7 0.15 lAvel dtfeciil’e) \nr which Shgle $dmplivlg) Acceptable Quality Inspection, (iti fwcmt 0,30 0.95 0.025 0.040 (for iVoWnal Limiting 6.1 7.0 8.S 11 13 15 18 22 45 2.5 Percent 9.6 11 14 16 26 23 28 32 63 4.0 15 18 20 2s 30 34 41 47 m 6.5 24 32 26 37 46 so 60 66 10 (:;W7 4.11) 3 5 8 13 20 32 so 60 IS m 31s Soo Wo 12s0 ~ B c D E F G M J K L M N P Q II 2 ●IU Imtt A Saaqh Lkde 0.24 0.011 — — 0.36 — k24 0,60 ).01sm! — — — 0s0 — 0.s9 1.5 0.6, — 0,71 0.9! 2.4 0.06!0.1( — — — L32 0.39 B.sj Mm — L9S — — I.ol{ — 1.3 1.6 — ),66 — M O.(M 1.1 — — 0,9 1,3 1.s 2.0 — — 2.6 6.0 0.2s — 3.8 — — 0.1! — .. 1.1 1.4 1.6 ?.1 2.s 3.2 3.0 9,4 0.40 1.s 1.8 2,1 2.6 3.3 3.9 S.o S.9 15 0.6.5 2.4 2.7 3A 4.2 3.8 4.4 5.4 6.6 8.4 6.2 5.3 9.7 13 Is 36 1.5 Odity 7.9 9s 23 I .0 Accqmble 6.1 7.0 8.5 II 13 16 20 24 “ 60 2.5 I.?vrl 9.6 < II 14 16 21 24 32 31 100 4.0 . is 18 2t — 26 33 39 — 46 S9 Isa — 6.5 — — i 24 27 — 34 41 !i3 — — — M 44 S3 66 — 81 97 79 144 IM — u) — 61 66 6s — . 100 lM 160 — 210 260 Is a — — — % — — 10 — — — I10 1s0 — — 9s Im 164 21C KM S30 m 270 340 3s( 449 39( — 6s — 210 26a — — 2tM J2a 40 — — — .310 ua 3na sla 44a 610 — — 1s0( Ooo — 14a — 710 — 8]0 IIa moo — IWO m — T 4006M Ma Ilm — s7fJ m 66a — l!ilm — — ● ● ● ● 1?44 e o — e — Q —I 4 — i t o — b b ,oom. IMW 1.320. law ● ● ● ● Ym. m ● ● ● mo . w ● ● ● . ● 6 ● moo. wQ Iao .1440 Wo . $n.lw 2n.4w . * ● ● ● ● ● ● * ● ● ● ● S4. n ● ● ● ● 28.4Q b * ● ● n.m Q4. 12? IJO .194 200. m — Ion I01s Boa — — — * — 0 t ? — 8 —@ . ● ● ● * * ● ● ● ● ● IN — . — t 0 o ● ● ● ● ● * ● s 14 — o — . ● ● 16 N — 1 — 2 t — Q o ● 24 — ?J 1 ? IJ — s t — 0 ● . . ● . . ● . ● — . 0 I 0 ? 0 11s 106 —..— — m Ill 40 bl )2 1$ . . ● * ‘. # 0M u 0? 14 9 4 1 0 0 9 ● ● 9 * ● ● 00 N m It 20 ? Y 4 o 0 4 ● . . ● ● * * 0.1$ 0.8 — Vlfl — I.;mh ● ● . . ● ● ● . * — ● B.10 r as — — — TAfJI.E 1 — . ● . — I*1 a )10 — It /or 1 1 1 o 0 .- . 10$ 1$* — — — Its Iw * u — % It — 8 4 8 o 0 — ● — 4s — — 191 110 w 4s — la — 4 1 It — o 1 e — 10 — @ 2s — — M 110 * — 1 1 1 14 — — 2s — Redr~ced ltt~pection Ac’[email protected]* f)uolll~ bd IJ 2? ?4 24 — — m 6) — 1 4 o o — ● ● ● ● . — 1.0 — * ● - — 1.s Ntimbws — — M 113 — u $1 t4 — 4 1 84 — 40 — — la — 11s 13 41 a — 8 11 — 42 — — — — 44 11s 101 It n u — — m — In 10$ n $) — n 100 IJO — — — — — 101 ml 4?1 40 u I 10 — m — — — WI n? 42 18s 191 — — am — — .ml — 118 11s m — — — 1s1 m — Moo — (see 4.7.3) ii2 t! Q o o 1?s ? ,1.LiJz .2% t .Srln lb It LILLJr 008 n B prqorllon Odatlvo 1 I)SM L_l_.IP o (WC 4.12.2) w an * m ml Doe -., S02 100 246 31s 420 Is$ (41.9 11} I*! ?1) 11? 4n N.? 6? ) 11s NO 2w x 241 !nO w.b ??s 250 1470 30 I II 4AI 1% 320 314 2S -~ UN 127 Mt 134 91: 68) 409 S51 412 ?t R no 6s 1!6 I 114 o 7so I 521 ?41 11a %6. n s 13 I I t ml 10; i. .+frrt. Ilm P CURV[S 8n9 464 ,$0 6s5 m ; x 4m 1141 1001 nlll ‘“” w? 4448 n2 650 ?10 311 Sw TM. 651 S40 – 4n4 284 ‘iii ?33 I* ‘w x ?710 mls m ‘m x- ‘mm J7M x 184!7 .— . 1512 1s29 JJli .— I 1716 I ?48 12.M I 4W . I%m 124n I .354 1111 Ilal 1?14 I lnl —. 914 Izm 1122 977 IImo Ioml I07J 97s w Iw 7W5 ]~] lc- *yJ 4JJ4 14’1 *2V PIJNS Iml 812 622 $17 SAMPLING >101 1272 ln&- taut 810 612 571 m 431 21I w 51s 3s1 342 212 2.IY 4A2 In I 4:1? 314 Zoa J(I5 ?M fur hmrlrwl mile) 4,U 2.1s I 7s 4. I-K Iw 145 p Iin Iwlx12:a&1400]xJm JR3 I I.*wI* Ietwfndimqwrtim) CMRACTIRISIIC Ha WIl!s fw Wt.’, 14m FOR SINGL[ hwdd ml Isa Ill W J 110 Arrtfwdtlc 4Jdltf 900 65 tm I.1, VII ‘* < 1,nl “ . . . . . w 4,..~.&t, 4),.11..I ..*I. tmgl,.11. .*W1 l..p* ,1.. FOR OPERAllNG t t~.. - TAWt.ATEO VAtUES ● O.*) 2s2 ; m 4-II A1.11\ IIF SIIIWI f IWO I IITS 10 in I#w.rII ddwtw osol ?M @WI pmml# M.clid 6% TA91,[ X-A-t m Wo 4s0 P. 1* 35 , !$! 1s4 3T0 n.s 2s0 10 6.$ @n 4s2 20.6 Wo 6s )?.0 SS9 Ml 2s.t *14 2s 231 1?.1 150 99.0 Ml I 3CS 6.W Is mo I 1.11 11.0 Oe I .r@ ! 9s0 be 0,33s I I - lAftUWIO 0.334 P. TAM.E X-O-1 @ m ~-., W-14 a )35 110 131 CMRACI’UIISTIC 11? ~ ml d,d$m,--e 1. ~.., SM 321 M Iw 1ss w ;L 4.1..,1 . ..-..,-,, : P,,.- Ml ?41 w tli WI al 2W 3S6 341 m Zm ?.1$ 2ii— 2s 1s9 I. &l-,. ~ u m 409 p ~ 6S0 1392 100 m ??2 623 la 8s2 116 W 41? S41 4s4 419 w 124? 1131 Iml x 1513 11s? low 19$1 1s0 1021 tsw W3 w m 6s1 SAMPLING PLANS INS bhd ..11, 400 1019 124 4?2 w 4s4 3L1 40s 41s 34s KIR SINGLE m m CURWS mQ 101 131 -x? 94.* 100 lxl’”.lxl~[x]mlx[’”lxl 411 241 141 Iao *.S 123 W,6 10s ml !UJ.Y n.? 4$.s W.1 ?13 w 3 a ?7.6 w FOR CWRAIMJC 1$s 2s VAIUIS ~ lwb~ 1s44 14s? 1344 12ii— t 1s2 m? woo Uulliple Onubk Slnglc Tppe e4 99mplin# phm 11? 6.5 es, than v v 2 4 v c 3 silt ●nple Ietiw Cml. 6S * ● — c — — — A .*WI — 114 c nl 65 — 40 — — — 10 — n ala Cd@ w? r It x — — TAOL[ Is — c ,euel do U** . X- B-2 n 2s +4. 12 02 12 Ic Is - — 40 +4. 14 )3 — 25 — 100 61 Accepabtc — 6S * Is 2s 5.6 14 14 — — * B9 1. 1 100 nl — — — t 50 — 44 — r x -4+ 4 15 50 c 16 ++ 6 21 1 14 x +4- 11 3 1? 2’ — F UxtfJ ++ 12 5 ‘3 ++ 6 S1 s .11 44! 11 # \c 16 1000 10 3 n x lx k 6S0 — 65o x — — B — c h CODE UTTER: +t- II 3 B’ Cn x “FOR SAMPLE SIZE ouohty i.ru@t9 hiRht@ntd inq!rrtitln) c II 65 PLANS — 40 SAMPLING . 4 2 I . 8 I WI 4,0 ~ 4.0 1$ 7s 166 ?2,t ??.0 40? I .0 !3J w.? 6s.? as.I S.o I?n n.o -.—. Inn 40.1 10.0 w.? $3.9 ?il 4s.4 50.4 ?4.3 n.? 25.0 M4 40 m 1$s IJ4 }01 11.6 S1.s 22.6 IJ.9 31,4 3.29 19.4 C*15 19.? n.o 12.9 w.? 345 ?.11 50.0 ??.3 34.9 :2.0 10,6 I.OJ ?.~ M.a Lo? m 2.W ?.li 90.0 a.n 2.9? 0.201 I sample ]* 6s Ybf 210 10s )40 113 04.4 &s.o $?.3 37.s 4n 9). } x m 2h.1 2 fs IV4 1s3 IOU 346 269 -&f 116 I 73 IJ? MB n.6 119 70.1 W* so. I x M M4 Jf16 WI 21I t 72 m 12s 9s.4 —. —— . : M9 MO J04 ?sJ m 17J 1s4 In ; 6s6 4fIJ J48 P) 24s mo 10s 1s0 p 1111 ddwts P? hwdmdWI-) px+n[xIKOixlzsolx14@J letter: : s]< 495 4,s5 373 Me nJ Z4* ml ; FOR SINGLE code CURV[S $ize IinnI CNARACIER ISTIC /or Atcrp*bfrUusliqI.rda Owrmtfkpr VALUES FOR OPIRATING woo I - TABIMTEO fh 4 J.?) 0.201 P lb wucm A?fwlhd 2.s 09.0 f’, I TAOLf X-C-I a 10 m 40 al w w m w $0 la .... ... .. . . . n IP.) hct.trtr ‘rArJLE x-c — “raf!les 40s $64 m 41s m 400 ON 74s & 621 S’IJ 46s 429 m m la 34) m SAMPLING C x w mf4 166 ml 6tJ 542 401 449 Jw PUNS 6s0 1171 m64 1010 92J au 149 bl? 6s9 $46 p+o x 1741 I f .11 ...— lff16— * 891 606 13J 691 61S w W Mllph MI* slqh Pho 6 3 s #- * 4+ * 51 61 21 -w — 01 d Is 6s — — x — — — x * — 621 1 16 — 250 — — — * — !? 2 d! x l.EIWR: ‘C +$- — — x — — ++ 89 II L.J — CODf b.@ — 10 — D — — o u — — SIZC — 6.S r. 6 1: x — MO — FOR SAMPLE — ● — D: a7 Lam z ● — — — la — 6s — u — 60 PIANS 7m CUB — 10 - SAMPLING 1: CC* x 6.S X-C-2 ) k-l M — 1A(I[ x * .. H5 31 600 — ++ — x — — x ++ 6s 5 31 166! ~ 6s0 U* law n I.otla CO* It J Km 6 3 s r I D 40 . e b= Ae w He m A. v. Muhlpfc Zkbb 64+ tbw — 4.0 — x — 10 23 M 15 4s 3s 13 2s 61 46 36 2s 03 14 12 2s 45 14 34 03 03 2s PUNS 40 9 10 19 so 31 16 Is 84 6? 25 S6 AC nt Ac fle Is ● 2 #3 34 03 23 24 02 *2 01 12 02 )2 13 F 10 k Re Ac k 6.S 10 c Am mlItl — the It e RI m x — — — — 2.s — 14 2.s BI !.s SAMPLING 01 ,.s thm v v 1.s !Bo - 8 6 4 z 10 s “o w+ hthe GM. TABLE X-D-2 6 10 7 II 12 13 lb Is 12 0 I.1 II x a’ 3 MIS 11 1 14 10 29 17 1319 lb 17 17 20 222s 1~ x 3? 3? 36 31 21 1$) 6 17 27 6 16 36 29 3’+ 25 15 S5 Q2S2 “)146 4049 40 49 34 27 ?6 19 lb )2 . x 2s0 ~ 400 x 54 12 73 7178 N 33 40 43 4s 47 61 64 6S 66 2s29 II 4 24 Iv t7 10 2531 17 36 S2 $1 % s? . 32 33 )1 36 49 49 H 14 14 17 la 20 21 23 2729 Is 4 M 10 19 21 2? 2s 26 M I 4 to 6 121 17 4(M3 u 22 27 28 m 31 41 42 44 L5 n 13 Ml Is 12 11 16 22 1? 2s 24 1? II II 39 06 6 10 7 30 0s 13 ta % — 4 Ivl ~ 9 M II 16 is 20 17 23 ?3 n la 2s0 ‘I& A A A H( h hrt 1~ *n Ic n?Ac R? Ac f4r Ac 11? Ac N* Ac no ~ 12 12 13 15 16 10 19 23 24 /627 59 to 1! x Ac f’hAc fk 100 2 9 6 49 27 04 t 31 89 fh AC lb ~ ~ it [It Ar x SIZE CODE UTTER: D 012 1 II s 10 la )6 04 09 17 78 — NC nt 40 FOR SAMPIf t4 12 10 8 6 4 2 to 5 8 1 1 E — x — x — z x — x -w :- s a $ : w iii ~ R 0 42 I : u b Ihhlpto 0419 (JM mat ● ● — o #ltu te41 ha : n — — 2.s (i co& x — — du.edoIellef b 1.s pNc’an96 0+0 21 19 15 12 9 6 3 v v 1.0 — lrutb Lo 2<s Utxpmm ,. 4s 23 d 10 1s 13 6.5 3 24 1 3 14 ●** u, Wdldllo. x 13 37 ~ 42 ~~ ~ Ae no Rc 2939 49 n 16 s? x 13 n 54 12 = 64 6s46 4161 70 49 35 5326 37 46 a 2636 17 15 6 19 16 Z 12 6 56 n 2329 23 31 31 41 42 444s n. Ar W n 3440 36 46 40 53 )2 61 3231 29 31 33 #43 100 II 22 19 % 24 11 2734 ?7 mph, 30 At 10 4 1017 46 6 14 3 2S S29 IS N 11 13 19 17 24 19 12 7 8 29 K 36 2s II 14 03 02 1 6 0 na At m 16 6“ 20 l? 22 % ~ 73 24 26 n 34= 31 36 529 14 11 19 21 la 9 k Ae 100 k x CODE LEITER: E 03 SIZE 2 03 s~f’u # 83 4s Rt Fm 2 92 34 lb S4 l!? k 10 PUNS # la z 03 2 23 I m Re k 6S k m TABU)(-E-2 - SAMPLING A A 21 10 Is 12 9 6 3 ei Ikmbh TTP d OMlpllw pk 20 low. lb~lo 9h4 Cnw v v v 01 ● & CO* Un x E Is N L?*IWLMIH Ce68 w I .0 Ie TABLE X-F-2 Is bb “t 9 4 40 6.5 b? 46 3s 13 $s 3. 24 13 f 2s 14 03 03 ● lb 2 45 14 34 Ac 6.s 03 03 ● 34 03 23 40 02 ,. 2 11? ● 12 02 12 Ic 25 6 3 IS x 11 1s II x Is 9 14 3 0 IS 9410 617 16 1$ I . 40 2225 x . . 26 20 )2 N3 2729 2225 31 22 17 1? x 1? 31 2.5n 19 II 7 2 — 24 26 311 33 25 19 14 9 21 16 2? A “$ — A A N* 4C N? 65 l~;fy 44 17 17 14 10202123 Is 12 10 1? f6 II 6 18 19 23 II 21 4C 6$ T 13 14 610711 12 1 =-b- 10 ?12011 II n? lb n 14 10 12 9 1 10 I.1 IQ II It ? n s 9 0 s 7 J 10 6 30 0s 38 )1 6 II 31 10 tc 2 04 8* Rr 23 16 4 ? 53? 15 CODE Lt71fR:f s I ● 6 2 I 670 T 5 * lb AC R, Ac Jo - SAMPLING PLANS FOR SAMPIESIZE M .10 25 20 Is 10 5 26 11 —— m —— IM+ ●i w lalt.r [:Um” L&“ 46 m s - v Ac no RI I .0 1.s Me)actha WmbW. Accepttnw ●*. . ...”. wmplo SIW code ktter fat tchkh ucQptsmw ond ttltcliao 2.s M&rt 4.0 ut 6S 67 23 S6 45 46 3s J 1’ 49 ●vcilsblt. 10 9 79 se 36 24 13 40 )7 2s l{ 03 32 26 14 # 67 2s 4 to Sm Is 93 4s 14 34 n~ 6.S \c Ill At 6.0 4’ 6 30 s 10 e 6 x IS x 11 14 19 3 16 22 Re 7 29 627 I !1 k 40 Xbo 22 !S 263233 z 7 It S29 925 36 33 1 720222s 20 ‘1232724 11 2.s 19 11 Is 10 11 II 10 15 2171622 lb 13 )4 I 1 t10612 1?18 1 12 0 Is 14 J3 10 39 5 06 17 10 12 11 11 9 30 4 0 10 12 12 14 14 9 27 16 1 11 13 16 12 II 12 12 13 IS 11 He Ae W x 10 10 Ac Is G 39 37 89 Ac h 0 It x 04 a~ 31 71 \c 10 FU? SAMPLf SIZE CODC LETTIR: 03 03 ● ’2 02 B 34 12 21 Ac Ik 03 2 m 02 12 e 2.s 24 x Cti on RI 1.s PWS 03 F coda I@tet Un ie it nt 1.0 - SAMPLING 02 0.66 01 k x 0.64 X-C-2 M 9 v v 20 a v R* 32 Uac mtmto&mptM 24* Ie O.a TA8L[ y 40 A A A % a 40 32 26 16 a 40 20 32 Cum9. l*lle* lum~le ●IW i . 48 r , 1 I 1 1 1 1- I fbblt MO* RI 1.0 I .5 $5 13 w 0.65 3s I.J 10 0.40 24 13 6S PD9Ihu 040 14 !t3 52 13 03 34 03 23 m2 12 )2 12 Ie 39 J .*lltr Co40 m 03 u Codl Lctt& k c 2 25 40 61 Q r 46 1 2 1 ● a 2 5 k 5 3 % 65 6.S 7 II 10 v 6 4 to x 13 14 lb 8 6 15 14 x Ill 14 12 II II Q 39 0s 12 12 6 12 7 3 o tv 17 2t N 1s lb 13 10 10 H Is 9 ‘o Is 2s ?1 17 12 I I 19 13 1 2 29 31 25 2s 22 11 12 n 24 26 lb II M 29 21 16 22 nt 25 — “x 12 )1 J? 38 4 !7 12 17 16 13 a 12 6 4 I 9 T Ac 19 21 Ie lb 19 !1 11 Is m ~ I :0 7 4 Ic Is 6 16 10 13 Ac N? x 13 IS . II fh 10 $9 10 n* At 10 21 04 II 37 Q 10 12 12 8 5 Jn 6 7 16 Ot fJ9 37 10 s t 1 5 6 09 x II* Ac n? k 4.0 FOR SAMPLE SIZE CODE KITER: 36 2s 14 03 m 4s 14 -— 34 k PIANS 1.s -2 x n use c I .0 26 ● ● RI x 065 # v v ml k 0.40 $AMPLING C2 64 32 v Ck 02s TAW X-t+2- k A A A M* ●ite scmfdr Iollvt cum.. Em R 0 w :l=j=lgl~l.~ 1 . s Is o 1)(1 . 51 0.262 Q.u$ 0.7W 0.s023 0.230 0.sss 1s.0 9.0 2s.0 11.4 u.? W.* O.u 10.3 2.s 6.20 8.04 1.s 5.03 6. ?2 1.0 J.w 9.1$ o.b9 t.s? 2.09 3.02 0.1s 10.0 S.O to x 4.0 11.s 18.3 10.s 129 M.S to 103 6.$ 13.6 \6 I z ?1.4 1?.$ 1S.6 x 19.8 M.t 14.2 12.3 106 0.64 1,42 B*M 10.4 1.75 $94 4.W ~tb 4.30 2.1s 3.11 Llt 9.22 14.9 11.T 10.1 8.$3 6.92 6.14 4.s2 2,94 2.14 1.22 12.7 9.?? 0.32 6.90 s 61 4,70 3.W w Lzoz 10.9 t.32 0.24 9.9s 7<bo J.71 6.92 0.26 I Xpo 5.9$ M 2$2 I SAMPLING PLANS K .1.40 S.oz 6.1s e.w J 76 J.10 Xpolx 403 I 9.81 UI.Q — 1 II A( Ml 2.W 1.s I .W I 0.6s4 1s 0.292 .——. I 0.0$10 oalwl 1.0 H.* - I ?!Jl @t kold 0ss La * Mom I 0.6$9 &2wtlw 0.00 O.zw prmu I size code letter: CttARACTtRISTIC CURWS F(HI SINCtf mi p (h 0.10 lAtltE X-K-1 - IAO(RATID VAtU[S FOR WRAIINC O.= I #or s~mpfe W.o P. X-K — Tabfes CM4RT K -OPIRATING CNARACIIRISTIC CURVIS WR SINW SAMPLING PLANS (Curwo f- &No ad ●.lllplo Su+lq m ●otcbd 90 Cloml? QBpmdcwt) TABLE G ?4.2 22.3 200 1?3 14.9 130 11.9 10.1 4 1 I I ~105E 1 I I ● ,, !53 9BQB I ?fIL-sID-lo5E 1 54 tbde S4+ A o to t W thl 0.10 x 01$ .. 0.40 9 is x Acr?pttblr Qlrslilr Levels (Ilfimvl 065 45 23 M inspvclion) 2.s lb 10 I 10 13 14 14 Is M 12 x 22 n26 21 19 4.0 20 21 18 t? 17 11 14 15 II 10 12 12 19 21 k 200 2.s0 25 29 6.S M(I 1s0 19 so 100 A 250 12s 200 14 9 2? A A NC 32 26 k 6S .uto 1? 12 8 24 16 22 ne - 23 2? 20 22 17 lb 12 7 10 6 1 t9 23 13 11 4 v 3 Is 11 19 3s 13 m 9 15 18 0 1? 16 10 6 0 15 10 II 13 lb 13 1 x R* Ac n? Ac R. 4.0 6 10 7 2’;9 lb II 12 Ic x e 59 24 13 2W II 6 10 5 31 lb 10 6 s 49 o 30 04 II 12 37 a R* 25 3 04 $V 37 ?8 k x 2? 4 n? 1.s 16 03 so 20 ● 67 2s 56 k 26 2 R? I .0 03 2 34 03 23 RF k 0 6S 02 12 02 12 k 060 1s0 0.22 — II( 0,2s 1$ N Ceti Ltuw Umo ,C o. Is 03 II l.% u., x # n 010 100 ● ● 01 k o 06s 9 v v v 0.66s ,?*O - SAMPLING PLANS F(XI SAMPLE S 17E COO[ LEITIR: L 92 2s0 12s 200 aiae ●al+b hllvc cumu. rABIE X-L-? b ● Q,ls I I .s1 2.21 02s 0.1s1 0.9s1 1.46 o 06s as.o 10.0 ●qllna S.o 1.0 J Iv ok% 261 040 I .0 4.16 3.34 1.46 Zm 2.36 1.9C 1.62 1.s0 1.34 I (judh~ ?.12 1.69 124 0.0ss la 0.640 1.17 0.s49 O.m 0.220 So.o 040$ 0.$40 O.ms 04913 n.o Imo W.e 0.})6 0.169 0.0)2s %0 O,no 0.020 0.43? 0! 240 0.11$ 0.0103 O.* 0.56? I 0.261 mild 0,40 Aw*!*M* O.IM bwmkf I *O 0,0411 p o.2s S* &tM* ‘&d m,hipk so 6n ● V* drIwlI 0.0 . prudc*bld *.O letter: SAMPLING size code FOR SINCII UQ mcwhd ●t CHARACIER IS TIC CURV[S for ~ample PLANS M 100 : 4It 3.76 —. .9.01 2.43 1.69 1.48 1,26 0!?2Y }.0 2,-..19 —- 4.13 3.43 2,1s 2.17 1.72 1.4? 1.11 x in.pwlk.o) I.!i 5.5? .— 450 I (m-of I “ ~s ~ $.64 4.W 4.02 ; 6<9S 6.39 552 4.66 3.8? 2. M u 3.Z7 1.44 ?.11 2.94 1.94 X1251X 611 ?,24 I SW 640 4.m 4.13 3,,39 1.74 2.23 1.96 1.51 f.$ y_, 9fAl .—. 10v R.4r 971 40 n.% 7.9? ..— 660 S.9J 5.f6 4.73 3.W .0 Id 7.n6 6.W 5.9) SM 4.34 3.9s 3.29 VAtUtS FOR OPERATING CNARACTIRSTIC CURV[S FOR SINGLE SAMPLING PIANS ?0 lot O,WI? * I p (h fwwd &fcellw @ h *f*l* 0.040 10 - TAWUTED 7!7 n? Iruwo - OPIIIATING W.o” P* o I* m m a w a m m w Im CNART M m Or I.o?l TAME X-M-I mf:fm “’$ w “fAl?Ll! X-M — Tables * 57 Ii! 010 I 01$ I 0.?s I 0.s2s 0104 I.M 1% 14n 02s am 0.s3s o.m o ?49 1.39 0 !s o In o 2?? 0401 0s?s 0921 0040 2s0 10.0 so I.0 01 mm., Ml ..1-0 .I-. 040 f I 55 IJ4 102 O,lw 0.0s?s 1$.0 Soo o so? o )4s 0.N2 b +“ I ,*IO *“4 k~-bl? 0 6S 26? 110 1.05 1.4s 1.13 0044 0620 “o34$ 0.220 0.10s 0.0211 Wo o s?.! o ?11 0.1*4 0.?11 00103 9s.0 o Ml o 16s o do kcrpmblt ‘o 348 209 2W 2M 1.13 I Jt “ ●d-4101 .lb*l.. “ - *.. 01AII% I.CWIS Mphtwwd : 2 t3 2 IS I w 1s3 1.1? 10s o 9M 0 ml O.rol !-$ I.. ,. lb Dld*l in,prrtimd 2 3.3? 3.0s 260 2 D I lZ Iw I.zl 0.%4 1.s 4s6 3.69 3% 304 3s2 2.W 1.73 1.s9 !32 X]’opc]lslxl?s o M I CURVES FOR SINGll (manwl Im(wrtiea) o sol 065 (JUOIW L-wI. F(III OPIRATING CNARACIEfllSllC 0!0012 0.0s0? 0,00s01 \ I - TAOUATtO VAIUIS ?{10 PmCal d?kctiah4dwlD pot hdfd wild 0.02s X-N-I W.o P. TAIM x s.w 42s 4.03 3 as 2.?3 Its 2.06 10s I .9 2s 6.12 su 49s 4.1s 3.73 310 2.73 2.49 20? SAMPLING PIANS x, 6117 605 S.u 4W 4 u 314 32s 2.W t St d . in — x — o — x — z o II P I .:!. ,! -,., #1,:, ,., w, .. !. T“] Gz;- 1 .! I 1. I . I 1 4D4i.e*- . m to 0.314 e.424 0.?1s O.M1 0.W9 0.!21 0.04s 0.111 0.1$4 0.240 O.w 001s 2s.0 10.0 S.O I .0 \ o. Iw 0.10 a- All 4- #m b A- 0 Is o.no4 o 67? 0.10 O.w 0.ss4 (!I+I*w4 -- Arrr@ahlc (&olhf Lcwl. @lb bm*4 - W- 4*. IMI- 040 x Ozs I.w 1.29 IC6 -Iti- 1.1s I .0s I .04 0.664 0.942 0.11s OS* 0.40s 004 0641 0.614 04ss 0103 0.s4? 0.42s 0.3?6 0.281 x 1.61 1.26 1.2s I.@ M ,b B$*I O6S 1.0.3 1.s6 La 1.22 1.01 0.034 08s3 O6W 0!61s 0.498 Xpqx O.m I o SW 0494 0 3s? 0.40 int ~ tie.) x I isc~tid 0.742 0.416 0.294 0.372 03M I LWOISkmo~ 2j2 0310 0 0,2s 0.2s2 0.2W I 0.140 0,142 0.1s 0.- I 0.10? O.sol 0.216 0.016? 0,0sss no w, 0.124 o (m? @.o@# 000W2 O.mw Oow I Actrptmbk~dhf ~, Ida 1.61 1.39 1.1? 0.9?9 0024 0140 0.SQ8 ;. 2.16 ; 2.b2 22s 200 1.74 I.w 1.13 1.49 In 1.19 I Ot 1.49 Ill 1.04 0.s9s O.am [’” VALUES FM OPERATING CHARACTERISTIC CURVES FOR $lNGIE 5AAlPLlNG PIANS kdm’d dlo $0. e ems ~ o rm 0.0204 u Mm- I 0.011? *IV* O.MO o.oosto I O*W ~ (h mm 0.010 - TAWIATIO W.o i X+ 9s.0 P* TAMI . Wl$49 ft 0.066 3 no 0.10 45 13 Eos 0.02s).040 3s 13 1020 0.01s Z4 13 1s?s 0.010 14 )3 l= 31s 03 34 03 ?2 12 02 2 13 us R * buet I Ae 0.0ss “o %. Re Uee — Ie he no 0.040 qt ● ● R{ x 0.0s 020 k 0.01s 92 n Lam@ Uee Ic x 0.010 — 0.1s 4s 14 0.10 o.% 9 1012 2 101314 r ) o.% ~ 7 ~ Is la 14 14 14 22 20 11 0,6s 19 21 17 18 12 11 Is 0.40 4 11 9 o 1.0 r 29 22 2s29 19 2S ~ B* }.0 ~ 3233 32s 4 J R@ “/#’ A A ● A Ae lb- t4i+w 14 11 13 19 11 8 24 2427 14 11 16 19 21 32 N n 2729 31 33 nn 11 M 11 20 Is 10 Is 6 11 8 n ) 10 13 II 0 6 1 1 11 11 ~ 9 10 6 49 11 to t9 7 10 16 10 11 10 4 06 13 IS $ 13 14 i x Ro AC no Ac h 0.6s Aa Ro he 11 12 m x Q 39 30 0s 27 04 T s 59 10 Ae 0.40 11 12 12 31 09 ) 30 It 04 99 31 70 6 s 6 ? s t ? 1 9 6 2 5 k ,Ib x S12[ CO(M WIERt Ie RO AC Rc 0.1s - SAMPLING PLANS F(M SAMPll U2 1- 600 I%o etn 1A, C9a. TABLE X+2 m% low 1s7s 12s0 94s w 31s Moo 600 13!M : : t. a ill },!, ! ,,, I i 1! ,, .1,, et w MI* $IU19 T7?C d x 3 3 I 2 mo m O.wo J t m z z 1 3 O.oa 23 0.10 O.MS 9 10 4 37 II x 0.% 14 14 II x Is la 14 16 12 12 o 10 6 R, At a ~ 11 is 12 1 ● ✟ x I 11 o 1 29 2621 14 II 19 21 n. AC 06 n 29 11 32 2729 222s M N 31 31 2s29 ?2 19 13 11 1? 13 10 4 2!334 21 It 12 0 4 1? 9 )9 n24 II Is 10 k Ac ne 14 x 0.40 R 16 It I 10; 13 Ih 0.40 19 21 it It Is 14 13 ,0 1 39 06 13 IS b 11 12 6,10 30 21 49 05 04 12 II II ? 59 10 12 12 9 R? Ac o,~ ~’ ? 10 0 6 4 9 11 7 8 @ 5 3 I 0 o 3 1 Re At 0.1s~ RI k 0.1s ?9 50 31 26 15 ● 61 15 56 k 0.10 (wmel IMPA-) SIZE CODE lEIER: Accoptcbh Ucdil? I#doMzhtwlcd Iwpcctbw) O.m 4s 3s 24 14 03 03 *3 2 34 0 0 IWO 0.04s O.oto 2 03 2 mw m I 0 I low s 0.0E4 Acmpmblr QudltT k+ - SAMPLING PIANS FOR SAMPlf R Ic he Ac nc cede talc! on c x c o t%m Ua 0.015 300 MO 01 m k k nc 0.010 x — TAl)lE X-R-2 36 33 23 19 14 Id n R? IS(UJ 1(CM * Wo Mm m ‘mo —- m 12s0 mm - — — — I 66 . 6. NvrEE 6.1 .Mtended use. sapling p~ and tables for ~i~ by aztrh.es are titendedto be used in the acquisitionof Defensematerial. 6.2 subject -able Tam (Key word) Wzing . QualityLeVel (AQL) AverageWtgoing Quality (J@) Defect Lo: or Eat&. %-s Average San@e SaTph’lg Plan 6.3 Changes from PreviousIssue. Verticallines or aste=isksare not used in this revisionto identify-ges with respaGLto the previous issuedue to *theextensivenessof the ~. 67 MIL-STW105E mum.% MATERXAL PreparingActivity: Army-Al? Cus’mdiam : Amy - m Na\’y- CS fir Force - 23 Review ?kcceivities: ~MI, EA, TE, AV, ER Navy - As, ECr FZ, CM, S& Slitm, YD DW - Es, Gs, Ss OSD-IP, SO (Pro- User Ac+.i\-ities: ArTIT’-m DLA - Es, Ss 68 CCIC-0085) imu )EPARTMEN7 OF u - w) THE ARMY 111111 p UWTEO -AT, , >FFOCtAL SuEt~ WNALTV ●OR ●RIVATE USE ~ BUSINESS FIRE? CL- REPLY MAIL PERMtT No ts WASHINGTON D C ● PO=AGE WILL SE ●AtD BY THE DEPARTMEN7 PICATnwY ~, NJ OF THE ARMY 07806-5000 . STANDARDIZATION DOCUMENT (&e Inmucn’ms IMPROVEMENT PROPOSAL - RmwxSi&) Iu . VEUOOR