6
36 PROCESS VALIDATION – Continued Process Verification John McConnell, Brian K. Nunnally, and Bernard McGarvey [ For more Author information, go to gxpandjvt.com/bios Welcome to “Analysis and Control of Variation.” We have seen many approaches to improving quality, compliance, and productivity during the past 30 years. However, from the approaches of Shewhart, Deming, and Juran to TQM, Kaizen, Kanban, and Six Sigma there is a golden thread that runs through all of these approaches: Understanding and reducing variation. It is axiomatic that if there is no variation, there will be no deviations and no out-of-specification results. Some degree of variation is unavoidable; we can nearly always reduce variation, but we can never eliminate it. Any successful approach to validating a process and then ensuring that it remains compliant must include elements that help us to reduce variation and then to continually monitor and control it. This column is dedicated to revealing weaknesses in existing approaches to understanding, reducing, and controlling variation, and to recommend alternatives based on sound science that demonstrably work. Case studies will be used to illustrate both problems and successful methodologies. The objective of the column is to combine sound science with proven practical advice. Reader comments, questions, and suggestions will help us fulfil our objective for this column. Suggestions for future discussion topics or questions to be addressed are welcome. Case studies illustrating the successful reduction or control of variation submitted by readers are also most welcome. Please send your comments and suggestions to column coordinator John McConnell at [email protected] or journal coordinating editor Susan Haigney at [email protected]. KEY POINTS DISCUSSED The following key points are discussed in this article: σ when they are not Variation—Past, Present, and Future John McConnell, Brian K. Nunnally, and Bernard McGarvey ABOUT THE AUTHORS John McConnell is the coordinator of “Analysis and Control of Variation” and is the owner and direc- tor of Wysowl Pty Ltd. in Queensland, Australia. He may be reached at [email protected]. Brian K. Nunnally, Ph.D., is associate director, Validation, at Wyeth Research. He may be reached at nunnalb@ wyeth.com. Bernard McGarvey, Ph.D., is process modeling group leader, Process Engineering Cen- ter, Eli Lilly and Company. He may be reached at [email protected].

Variation—Past, Present, And Future

Embed Size (px)

DESCRIPTION

Good

Citation preview

  • 36 PROCESS VALIDATION Continued Process Verification

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    [For more Author information, go to gxpandjvt.com/bios

    Welcome to Analysis and Control of Variation.We have seen many approaches to improving quality,

    compliance, and productivity during the past 30 years. However, from the approaches of Shewhart, Deming, and Juran to TQM, Kaizen, Kanban, and Six Sigma there is a golden thread that runs through all of these approaches: Understanding and reducing variation. It is axiomatic that if there is no variation, there will be no deviations and no out-of-specification results. Some degree of variation is unavoidable; we can nearly always reduce variation, but we can never eliminate it. Any successful approach to validating a process and then ensuring that it remains compliant must include elements that help us to reduce variation and then to continually monitor and control it.

    This column is dedicated to revealing weaknesses in existing approaches to understanding, reducing, and controlling variation, and to recommend alternatives based on sound science that demonstrably work. Case studies will be used to illustrate both problems and successful methodologies. The objective of the column is to combine sound science with proven practical advice.

    Reader comments, questions, and suggestions will help us fulfil our objective for this column. Suggestions for future discussion topics or questions to be addressed are welcome. Case studies illustrating the successful reduction or control of variation submitted by readers are also most welcome. Please send your comments and suggestions to column coordinator John McConnell at [email protected] or journal coordinating editor Susan Haigney at [email protected].

    KEY POINTS DISCUSSEDThe following key points are discussed in this article:

    t5IFQSJODJQMFTBOEQSBDUJDFTGPSCSJOHJOHBQSPDFTTJOUPBDPOUSPMMFEBOEDBQBCMFTUBUFBOEUIFONBJOUBJOJOHUIBUDPOEJUJPOPWFSUJNFBSFXFMMEFWFMPQFE

    t"iHPOPHPwBUUJUVEFGPDVTJOHPOQSPDFTTTQFDJGJDBUJPOTJTBTJHOJGJDBOUPCTUBDMFUPJNQSPWJOHRVBMJUZDPNQMJBODFBOEQSPEVDUJWJUZ

    t5IFQIBSNBDFVUJDBMJOEVTUSZTIPVMENJOJNJ[FWBSJBUJPOCFUXFFOCBUDIFT

    t%S84IFXIBSUDSFBUFEUIFDPODFQUPGTUBUJTUJDBMQSPDFTTDPOUSPMJOUIFT

    t"RVBMJUZNBOVGBDUVSJOHQSPDFTTIBTNJOJNVNTUBCMFWBSJBUJPOBSPVOEUIFQSPDFTTPQUJNVN

    t5IF64'PPEBOE%SVH"ENJOJTUSBUJPOIBTSFDPNNFOEFEJEFOUJGJDBUJPOBOEDPOUSPMPGWBSJBUJPOJONBOVGBDUVSJOHQSPDFTTFTJOUIFSFDFOUQSPDFTTWBMJEBUJPOHVJEBODF

    t"QSPDFTTJTVOEFSDPOUSPMXIFOBMMPVUDPNFTGBMMBUSBOEPNBCPVUBOVODIBOHJOHNFBOBOESFNBJOXJUIJOUIFTUBUJTUJDBMMZDBMDVMBUFEDPOUSPMMJNJUTQJPOFFSFECZ4IFXIBSU

    t5IFDPNNPOQSBDUJDFPGDBMDVMBUJOHQSPDFTTMJNJUTCZVTJOHUIFSVMFPGiNFBOPSwJTMJLFMZUPNBLFFWFOUIFNPTUDIBPUJDPGEBUBMPPLTUBCMFwhen they are not

    t4QFDJGJDBUJPOTBSFBOFDFTTBSZQBSUPGUIFCVTJOFTTMBOETDBQFCVUUPVTFUIFNGPSQSPDFTTBOBMZTJTBOEDPOUSPMPSGPSQSPDFTTNPOJUPSJOHJTXSPOH

    t5IF4IFXIBSUBQQSPBDIJTXFMMFTUBCMJTIFEBOETIPVMECFBQQMJFEUPQIBSNBDFVUJDBMNBOVGBDUVSJOHQSPDFTTFT

    VariationPast, Present, and FutureJohn McConnell, Brian K. Nunnally, and Bernard McGarvey

    ABOUT THE AUTHORSJohn McConnell is the coordinator of Analysis and Control of Variation and is the owner and direc-tor of Wysowl Pty Ltd. in Queensland, Australia. He may be reached at [email protected]. Brian K. Nunnally, Ph.D., is associate director, Validation, at Wyeth Research. He may be reached at [email protected]. Bernard McGarvey, Ph.D., is process modeling group leader, Process Engineering Cen-ter, Eli Lilly and Company. He may be reached at [email protected].

  • PROCESS VALIDATION Continued Process Verification 37

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    INTRODUCTION5IFJNQPSUBODFPGVOEFSTUBOEJOHSFEVDJOHBOEDPOUSPMMJOHWBSJBUJPODBOOPUCFPWFSTUBUFE*OUPPNBOZQMBDFTUIFQIBSNBDFVUJDBMJOEVTUSZIBTZFUto apply approaches that are routinely successful in NBOZPUIFSJOEVTUSJFT3FDFOUSFHVMBUPSZEPDVNFOUTBOEQSFTFOUBUJPOTBEESFTTJOHCPUIQIBSNBDFVUJDBMQSPEVDUTBOENFEJDBMEFWJDFTIBWFCFFODSJUJDBMPGUIFJOEVTUSZTBCJMJUZUPSFEVDFBOEDPOUSPMWBSJBUJPOBUJOQVUTBTXFMMBTJOQSPDFTTBOEKVTUJGJBCMZTP5IFQSJODJQMFTBOEQSBDUJDFTGPSCSJOHJOHBQSPDFTTJOUPBDPOUSPMMFEBOEDBQBCMFTUBUFBOEUIFONBJOUBJOJOHUIBUDPOEJUJPOPWFSUJNFBSFXFMMEFWFMPQFE)PXFWFSUIFQIBSNBDFVUJDBMJOEVTUSZIBTZFUUPXJEFMZBEPQUTPNFPGUIFTFQSJODJQMFTBOEpractices. It is our intent to pursue these issues in TVDIBXBZUIBUSFBEFSTXJMMCFBCMFUPQSPGJUGSPNUIFBQQMJDBUJPOPGUIFQSJODJQMFTBOENFUIPETEJTDVTTFEin their daily work.

    $FOUSBMUPUIJTBSUJDMFJTUIFPCTFSWBUJPOUIBUJONBOZDBTFTXIFOUIFUFSNTiWBSJBUJPOwBOEiQSPDFTTDPOUSPMwBSFVTFEBTJHOJGJDBOUQSPQPSUJPOPGQFPQMFJOUIFJOEVTUSZUSBOTMBUFUIJTUPNFBOiDPNQMJBOUwPSiSFNBJOTXJUIJOTQFDJGJDBUJPOTwPSiNFFUTUIFSFRVJSFETUBOEBSETw5IJTiHPOPHPwBUUJUVEFUPXBSETRVBMJUZBOEQSPDFTTDPOUSPMSFNBJOTXJEFTQSFBEBOEUIJTNJOETFUJTBTJHOJGJDBOUPCTUBDMFUPJNQSPWJOHRVBMJUZDPNQMJBODFBOEQSPEVDUJWJUZ

    A BRIEF HISTORY OF SPECIFICATIONS%VSJOHUIFDSBGUFSBUIBUMFEUPUIFJOEVTUSJBMSFWPMVUJPODSBGUTNFONBEFBMMQSPEVDUT5IFDSBGUTNBOVTVBMMZNBEFUIFFOUJSFQSPEVDU/PUJPOTTVDIBTTVCDPOUSBDUPSTWFOEPSTBOEoutsourcing were hundreds of years away. The CBLFSHSPVOEMPDBMXIFBUDPMMFDUFEBOEQSPDFTTFEUIFFTTFOUJBMJOHSFEJFOUTIFBUFEIJTPWFOXJUIXPPEHBUIFSFECZIJTGBNJMZBOEQSPEVDFEEJTUJODUJWFCSFBE#MBDLTNJUITBOEBSNPVSFSTFWFONBEFUIFJSPXOSJWFUTBOEOBJMT&WFSZQSPEVDUXBTPOFPGBLJOE$PNQPOFOUTXFSFOPUJOUFSDIBOHFBCMFCFDBVTFFWFSZQBSUXBTJOEJWJEVBMMZNBEFUPNBUDIPUIFSQBSUT&BDITXPSEIBEBTDBCCBSETQFDJGJDBMMZDSBGUFEUPNBUDIJU*OUIFEBZTPGNVTLFUTUIFIBNNFSGSPNBCSPLFONVTLFUDPVMEOPUCFSFNPWFEBOEGJUUFEUPBOPUIFSNVTLFUXJUIBEBNBHFEIBNNFS*GBDPNQPOFOUGBJMFEBOPUIFSXBTNBEFUPPSEFSBOEIBOEGJOJTIFEUPNBUDIUIFPUIFSDPNQPOFOUT

    &BSMZJOEVTUSJBMJTUTESFBNFEPGUIFJOUFSDIBOHFBCJMJUZPGQBSUTBOEUIJTESFBNDSFBUFENBOZSJDIPQQPSUVOJUJFT*GDPNQPOFOUTXFSFJOUFSDIBOHFBCMFBXIPMFOFXDPODFQUPGNBOVGBDUVSJOHXPVMECFDSFBUFE*UXPVMEBMMPXQBSUTUPCFQSPEVDFEJOMBSHFWPMVNFTBOEUIFOBTTFNCMFEUPNBLFBQSPEVDUCZEJGGFSFOUQFPQMF

    TPNFUJNFTJOEJGGFSFOUDPVOUSJFT1SPEVDUJPODPTUTXPVMECFTJHOJGJDBOUMZSFEVDFEBTXPVMENBJOUFOBODFDPTUT5IFDPTUPGHPPETXPVMEGBMMBOEUIFTUBOEBSEPGMJWJOHXPVMETPBS

    5IFTFXFSFTPVOEESFBNT5IFFWJEFODFUIBUNBOVGBDUVSFSTPWFSDBNFUIFNBKPSPCTUBDMFUPNBTTQSPEVDUJPOWBSJBUJPOJTFWFSZXIFSF5IFCFOFGJUTCSPVHIUUPIVNBOLJOECZUIJTMBDLPGWBSJBUJPOEFGZNFBTVSFNFOU8JUIPVUNBTTQSPEVDUJPOUIFSFXPVMECFOPUFMFWJTJPOPSPUIFSFMFDUSPOJDQSPEVDUTTVDIBTDPNQVUFSTOPSFGSJHFSBUPSTOPQSPDFTTFEPSQBDLBHFEGPPEBOEOPBVUPNPCJMFT5IFSFXPVMECFOPQVCMJDUSBOTQPSUTZTUFNTOPSFUJDVMBUJPOPGDMFBOXBUFSBOEOPTFXFSBHFTZTUFNT

    5IFBQQMJDBUJPOPGUIJTLJOEPGUIJOLJOHUPNFEJDBMEFWJDFTJTPCWJPVT8IBUBCPVUESVHTBOEWBDDJOFT .PTUESVHTBOEWBDDJOFTBSFNBEFJOCBUDIFT5IFTBNFQSJODJQMFTPGNBTTQSPEVDUJPOBQQMZCVUJOBTMJHIUMZEJGGFSFOUXBZ"NPMFDVMFJTEJTDPWFSFEPSDSFBUFEBOEBQSPEVDUJPOQSPDFTTJTCVJMU*OQVUTBSFCMFOEFESFBDUFEPSHSPXOBOEUIFEFTJSFENPMFDVMFJTDSFBUFE6TVBMMZUIJTXJMMCFGPMMPXFECZTFWFSBMNPSFTUFQTUPDMFBWFDMFBOTFCPOEPSPUIFSXJTFNPEJGZUIFNPMFDVMFVOUJMJUCFDPNFTUIFGJOBMQSPEVDU5IFESVHPSWBDDJOFNBOVGBDUVSFSUSJFTUPDMPTFMZSFQMJDBUFUIFQSPEVDUCBUDIBGUFSCBUDI)FSFUIFJOUFSDIBOHFBCJMJUZPSSFQFBUBCJMJUZPGJOUFSFTUJTCFUXFFOCBUDIFT5IJTJTTUJMMNBTTQSPEVDUJPOFYDFQUUIBUUIFNBOVGBDUVSFSJTDPODFSOFEBCPVUESJWJOHEPXOUIFWBSJBUJPOCFUXFFOCBUDIFTSBUIFSUIBOCFUXFFODPNQPOFOUTJOEFWJDFT

    *OMBCPSBUPSJFTUIFWBSJBUJPOPGJOUFSFTUJTGPVOECFUXFFOBOBMZTUTBOECFUXFFOJOTUSVNFOUT*GBCMJOEDPOUSPMTBNQMFQSPWJEFTSFQFBUBCMFSFTVMUTregardless of which analyst conducts the test or which JOTUSVNFOUJTVTFEUSVFJOUFSDIBOHFBCJMJUZIBTCFFOSFBMJ[FE

    *OUFSNTPGBEWBODJOHPVSNBUFSJBMXFMGBSFBOEPGMFOHUIFOJOHPVSMJGFTQBOUIFBEWFOUPGNBTTQSPEVDUJPOXBTBOBXFTPNFUSJVNQI

    /FWFSUIFMFTTNBOZPGUIFJOJUJBMBUUFNQUTUPDSFBUFJOUFSDIBOHFBCMFQBSUTGBJMFE5PPPGUFOQBSUTEJEOPUGJUXFMMEVSJOHBTTFNCMZSFTVMUJOHJOVOBDDFQUBCMZIJHITDSBQBOESFXPSLBMPOHXJUISBJTFEDPTUT

    5IFGJSTUCSFBLUISPVHIXBTUPSFBMJ[FUIBUFYBDUSFQFBUBCJMJUZXBTJNQPTTJCMF5IFTFDPOEXBTUIFSFBMJ[BUJPOUIBUJUXBTOPUOFDFTTBSZ8IBUXBTOFDFTTBSZXBTUPFOTVSFGPSUIFWBSJBCJMJUZCFUXFFODPNQPOFOUTUPCFMPXFOPVHIUPGBDJMJUBUFBTTFNCMZJOUPBXPSLBCMFQSPEVDU5IFGJSTUQSBDUJDBMBQQSPBDIEFWFMPQFEUPBDIJFWFUIJTFOEXBTUIFDSFBUJPOPGAHPBOEAOPHPHBVHFT*NBHJOFUIFCPSJOHPVUPGXIFFMIVCTUPBDDFQUBYMFT5IFIPMFCPSFENVTUCFCJHFOPVHIUPBMMPXUIFBYMFUPCFJOTFSUFECVUOPUTPCJHUIBUUIFBYMFXJMMGMPQBSPVOEJOUIFIVC*OUIJTDBTFBCBSPG

  • 38 PROCESS VALIDATION Continued Process Verification

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    NFUBMXJUIPOFFOENBDIJOFEUPBTMJHIUMZTNBMMFSEJBNFUFSCFDPNFTUIFHBVHF5IFTNBMMFOENVTUGJUJOUPUIFXIFFMIVCCVUUIFMBSHFSFOENVTUOPU.BOVGBDUVSFSTTPPODPOWFSUFEUIFJSHPOPHPgauges into tolerances or specifications.

    5IJTCFDBNFUIFXBZNBOVGBDUVSFSTEFUFSNJOFEXIFUIFSUIFQBSUTNBEFDPVMECFTVDDFTTGVMMZBTTFNCMFEUPNBLFBTPVOEQSPEVDU5IFGJSTUEFGJOJUJPOPGRVBMJUZXBTCPSOAll parts must remain within the specificationsJFJOPSPVUHPPSOPHP

    MORE RECENT DEVELOPMENTS%FTQJUFUIFFOPSNPVTBEWBODFTNBEFEVSJOHUIFQBTUZFBSTNVDIPGUIFQIBSNBDFVUJDBMJOEVTUSZSFNBJOTMPDLFEJOUIJTHPOPHPNJOETFU*ONBOZBSFBTUIFQSFWBMFOUNJOETFUTUBUFTUIBUQSPWJEJOHUIFUFTUSFTVMUVOEFSFYBNJOBUJPOSFNBJOTXJUIJOTQFDJGJDBUJPOTOPUPOMZEPFTOPUIJOHNPSFOFFEUPCFTBJEBCPVUUIBUSFTVMUCVUBMTPUIBUOPUIJOHNPSFTIPVMECFTBJEBCPVUJU5IJTGVOEBNFOUBMFSSPSMFBETto statistically significant signals that ought to warn PGJNQFOEJOHUSPVCMFCFJOHJHOPSFE*OUVSOUIFTFPWFSMPPLFEPSEJTSFHBSEFETJHOBMTBOEEJTUVSCBODFTFWFOUVBMMZSFTVMUJOPVUPGTQFDJGJDBUJPO004SFTVMUTUIBUTIPVMEBOEDPVMEIBWFCFFOBWPJEFE5IFZBMTPMFBEUPBOVOOFDFTTBSZJODSFBTFJOWBSJBUJPOUIBUJOBDDPSEBODFXJUI-JUUMFT-BXEBNBHFTOPUPOMZRVBMJUZCVUBMTPQSPEVDUJWJUZ"OZBQQSPBDIUIBUCMJOETQFPQMFUPTUBUJTUJDBMMZWBMJETJHOBMTBOEwarnings is poor science.

    *OUIFT%S84IFXIBSUDSFBUFEUIFDPODFQUPGTUBUJTUJDBMDPOUSPMPSTUBCJMJUZ)FXBTBCMFUPEFNPOTUSBUFUIBUBQSPDFTTIBEOPLOPXODBQBCJMJUZVOUJMJUXBTJOTUBUJTUJDBMDPOUSPM.PSFUIBOZFBSTMBUFSXFGJOENBOZDIFNJTUTCJPMPHJTUTBOEFOHJOFFSTDBMDVMBUJOHQSPDFTTDBQBCJMJUZEFTQJUFUIFGBDUUIBUUIFEBUBBSFEFNPOTUSBCMZVOTUBCMF"OVNCFSXJMMCFDBMDVMBUFECVUJOUIFTFDJSDVNTUBODFTJUJTMJLFMZUPCFNFBOJOHMFTT

    *O%S5BHVDIJXPOUIF%FNJOH.FEBMGPSBOBQQSPBDIXFOPXDBMMUIF5BHVDIJ-PTT'VODUJPO&TTFOUJBMMZ5BHVDIJDSFBUFEOFXTUBUJTUJDBMUPPMTUIBUEFNPOTUSBUFEUIBUFWFOXIFOBMMPVUDPNFTNFFUTQFDJGJDBUJPOTMPTTJTJODVSSFE)JTNFUIPETTVQQPSUFE4IFXIBSUBOE%FNJOHXIPIBEDMBJNFEUIBUSFEVDJOHWBSJBUJPOXBTBMXBZTBTPVOEFDPOPNJDBQQSPBDIFWFOUIPVHIBMMEBUBXFSFXJUIJOTQFDJGJDBUJPOT

    *OUIFFBSMZTBOFOHJOFFSGSPN.PUPSPMB.S#JMM4NJUIDBNFUPUIFTBNFDPODMVTJPOT4NJUIVMUJNBUFMZMBJEGPVOEBUJPOTGPSUIFDPODFQUPG4JY4JHNB4NJUITUBUFEUIBUBMMDSJUJDBMUPRVBMJUZ$52DIBSBDUFSJTUJDTTIPVMEPDDVQZOPNPSFUIBOIBMGUIFTQFDJGJDBUJPOSBOHF*ONPSFTQFDJGJDUFSNTIFTUBUFEUIBUUIFOFBSFTUTQFDJGJDBUJPOGPSBOZ$52DIBSBDUFSJTUJDNVTUCFBUMFBTUGSPNUIFOFBSFTU

    specification (1).'SPN4IFXIBSUBOE%FNJOHUP5BHVDIJBOE4NJUI

    GSPN52.BOE,BJ[FOUP,BOCBOBOE4JY4JHNBUIFSFJTBDPNNPOUIFNFUIBUSFGVTFTUPHPBXBZ0VSKPCJTUPVOEFSTUBOEBOEDPORVFSWBSJBUJPO6OGPSUVOBUFMZNBOZJOUIFQIBSNBDFVUJDBMJOEVTUSZSFNBJOMPDLFEJOBOBODJFOUNJOETFUUIBUTBZTUIBUQSPWJEJOHPVUDPNFTNFFUTQFDJGJDBUJPOTBMMJTXFMM5IJTNJOETFUDBOCFEFNPOTUSBUFEUPCFGBMMBDJPVTBOEUPCFMJLFMZUPJODSFBTFEFWJBUJPOTBOE004SFTVMUT5IFNPTUVQUPEBUFEFGJOJUJPOPGRVBMJUZJTMinimum, stable variation around the process optimum.

    THE CHANGING FDA THINKING5IF64'PPEBOE%SVH"ENJOJTUSBUJPOJODSFBTFEUIFQSFTTVSFPOUIFQIBSNBDFVUJDBMJOEVTUSZUPCFUUFSVOEFSTUBOEBOESFEVDFWBSJBUJPOXIFOJUSFMFBTFEJUTESBGUQSPDFTTWBMJEBUJPOHVJEFMJOFUIBUTUBUFTUIFGPMMPXJOHJOQBSU

    t2VBMJUZTBGFUZBOEFGGJDBDZBSFEFTJHOFEPSCVJMUinto the product

    t2VBMJUZDBOOPUCFBEFRVBUFMZBTTVSFENFSFMZCZJOQSPDFTTBOEGJOJTIFEQSPEVDUJOTQFDUJPOPStesting

    t&BDITUFQPGBNBOVGBDUVSJOHQSPDFTTJTDPOUSPMMFEUPBTTVSFUIBUUIFGJOJTIFEQSPEVDUNFFUTBMMEFTJHODIBSBDUFSJTUJDTBOERVBMJUZBUUSJCVUFTincluding specifications.

    "OPUIFSTFDUJPOPGUIJT'%"HVJEFMJOFTUBUFTUIBUNBOVGBDUVSFSTTIPVMEEPUIFGPMMPXJOH

    t6OEFSTUBOEUIFTPVSDFTPGWBSJBUJPOt%FUFDUUIFQSFTFODFBOEEFHSFFPGWBSJBUJPOt6OEFSTUBOEUIFJNQBDUPGWBSJBUJPOPOUIFQSPDFTTBOEVMUJNBUFMZPOQSPEVDUBUUSJCVUFT

    t$POUSPMUIFWBSJBUJPOJOBNBOOFSDPNNFOTVSBUFwith the risk it represents to the process and product.

    6OGPSUVOBUFMZUIFSFJTOPTIPSUBHFPGTDJFOUJTUTJOUIFJOEVTUSZXIPCFMJFWFUIBUUIFZNFFUUIFTFSFRVJSFNFOUTXIFOUIFZEPOPU

    5IF'%"HVJEFMJOFGVSUIFSTUBUFT

    i"GUFSFTUBCMJTIJOHBOEDPOGJSNJOHUIFQSPDFTTNBOVGBDUVSFSTNVTUNBJOUBJOUIFQSPDFTTJOBTUBUFPGDPOUSPMPWFSUIFMJGFPGUIFQSPDFTTFWFOBTNBUFSJBMTFRVJQNFOUQSPEVDUJPOFOWJSPONFOUQFSTPOOFMBOENBOVGBDUVSJOHQSPDFEVSFTDIBOHFw

    5IJTCFHTUIFRVFTUJPOIPXTIPVMEXFEFGJOFUIFTUBUFNFOUiNBJOUBJOUIFQSPDFTTJOBTUBUFPGDPOUSPMw %VSJOHUIF.BSDI1JUUDPODPOGFSFODFUIFPQQPSUVOJUZXBTUBLFOUPBTLNBOZTDJFOUJTUTXPSLJOHJOUIFQIBSNBDFVUJDBMJOEVTUSZUPQSPWJEFBEFGJOJUJPOPGUIJTUFSN5IFNBKPSJUZSFTQPOEFECZTUBUJOHthat a state of control existed if all results fell within specifications.

  • PROCESS VALIDATION Continued Process Verification 39

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    5IJTJTOPUDPSSFDU"TUBUFPGDPOUSPMFYJTUTXIFOBMMPVUDPNFTGBMMBUSBOEPNBCPVUBOVODIBOHJOHNFBOBOESFNBJOXJUIJOUIFTUBUJTUJDBMMZDBMDVMBUFEDPOUSPMMJNJUTQJPOFFSFECZ4IFXIBSU

    *UJTXPSUIZUPOPUFUIBUUIFDPNNPOQSBDUJDFPGDBMDVMBUJOHUIFMJNJUTPGBTZTUFNCZVTJOHUIFSVMFPGiNFBOPSwJTMJLFMZUPNBLFFWFOUIFNPTUDIBPUJDPGEBUBMPPLTUBCMF5IJTNFUIPEPGDBMDVMBUJOHMJNJUTBTTVNFTUIBUUIFEBUBBSFDPOUSPMMFEPSTUBCMF8IFOUIFZBSFOPUVQTFUTXIJDIJODSFBTFWBSJBUJPOXJMMDBVTFMJNJUTDBMDVMBUFEJOTVDIBXBZUPXJEFOBOEUPNBLFUIFEBUBMPPLTUBCMFFWFOXIFOUIFZBSFnot.

    'JOBMMZUIF'%"HVJEFMJOFTUBUFT

    i8FSFDPNNFOEUIBUBTUBUJTUJDJBOPSQFSTPO

    XJUIBEFRVBUFUSBJOJOHJOTUBUJTUJDBMQSPDFTTDPOUSPMUFDIOJRVFTEFWFMPQUIFEBUBDPMMFDUJPOQMBOBOETUBUJTUJDBMNFUIPETBOEQSPDFEVSFTVTFEJONFBTVSJOHBOEFWBMVBUJOHQSPDFTTTUBCJMJUZBOEQSPDFTTDBQBCJMJUZ1SPDFEVSFTTIPVMEEFTDSJCFIPXUSFOEJOHBOEDBMDVMBUJPOTBSFUPCFQFSGPSNFE1SPDFEVSFTTIPVMEHVBSEBHBJOTUPWFSSFBDUJPOUPJOEJWJEVBMFWFOUTBTXFMMBTBHBJOTUGBJMVSFUPEFUFDUQSPDFTTESJGU1SPEVDUJPOEBUBTIPVMECFDPMMFDUFEUPFWBMVBUFQSPDFTTTUBCJMJUZBOEDBQBCJMJUZ5IFRVBMJUZVOJUTIPVMESFWJFXUIJTJOGPSNBUJPO*GEPOFQSPQFSMZUIFTFFGGPSUTDBOJEFOUJGZWBSJBCJMJUZJOUIFQSPDFTTBOEPSQSPEVDUUIJTJOGPSNBUJPODBOCFVTFEUPBMFSUUIFNBOVGBDUVSFSUIBUUIFQSPDFTTTIPVMECFJNQSPWFEw

    *OUIJTQBSBHSBQI'%"TUBUFTDMFBSMZXIBUJTSFRVJSFE5IFJOEVTUSZOFFETUPVTFTUBUJTUJDBMQSPDFTTDPOUSPM41$UFDIOJRVFTUPFWBMVBUFCPUIQSPDFTTTUBCJMJUZBOEQSPDFTTDBQBCJMJUZ5IJTSFRVJSFTUIFVTFPG4IFXIBSUDPOUSPMDIBSUTUPEFUFSNJOFXIFUIFSPSOPUBQSPDFTTJTJOBDPOUSPMMFETUBUFCVUXIZCFTPQSFTDSJQUJWF

    SHREWHART CONTROL CHARTS"TJHOJGJDBOUQBSUPGUIFBOTXFSDBOCFTFFOJOUIFFYBNQMFJO'JHVSF5XPDIBSUTGPSUIFTBNF$52characteristic are displayed. The top chart shows SFTVMUTDPNQBSFEXJUITQFDJGJDBUJPOTBOEUIFMPXFSDIBSUVTFTMJNJUTDBMDVMBUFEVTJOH4IFXIBSUTDPOUSPMDIBSUJOHUFDIOJRVFT5IF.PWJOH3BOHFTDIBSUJTPNJUUFEGSPNUIF4IFXIBSUDIBSUGPSTJNQMJDJUZBOEclarity.

    *O'JHVSFUXPSFTVMUTBSFSFQPSUFE004POFBUCBUDIBOEPOFBUCBUDI#FDBVTFJUJTBOJTPMBUFETQFDJBMDBVTFFWFOUJUXBTDPSSFDUUPTUVEZCBUDIJOBOBUUFNQUUPEFUFSNJOFDBVTBMJUZ5PUBLFUIFTBNFBDUJPOGPSCBUDIJTBNJTUBLF5IF4IFXIBSUDPOUSPMDIBSUTIPXTBTUBUJTUJDBMMZTJHOJGJDBOUVQXBSETIJGUJOUIFNFBOBUCBUDIThat is a signal to which the scientists should react. #BUDISFQPSUFEBT004OPUCFDBVTFBOZUIJOHDIBOHFEEVSJOHUIFQSPEVDUJPOPGUIBUCBUDI*UJTBSBOEPNQPJOUJOBTZTUFNPGEBUBUIBUTIJGUFEBUCBUDIXIJDIJTXIFSFUIFSFBMSPPUDBVTFTPGUIFTFDPOE004FWFOUXJMMCFGPVOE/FWFSUIFMFTTJONPTUDPNQBOJFTXIFOTJNJMBSDJSDVNTUBODFTFYJTU

    150

    200

    250

    300

    350

    400

    450

    500

    550

    0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80

    Batch release data as a Shewhart control chart

    Batch release results against specications

    150

    200

    250

    300

    350

    400

    450

    500

    550

    1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77

    Figure 1: Two approaches to displaying variation.

  • 40 PROCESS VALIDATION Continued Process Verification

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    XFGJOETDJFOUJTUTTUVEZJOHUIFGBJMFECBUDISBUIFSUIBOUIFQPJOUJOUJNFXIFSFUIFQSPDFTTDIBOHFE

    "TJNJMBSQSPCMFNDBOCFGPVOEXIFOTDJFOUJTUTBSFTUJMMVTJOHUIFPMEiNFBOPSwBQQSPBDIUPDBMDVMBUFMJNJUTXIJDIJTJMMVTUSBUFEJO'JHVSF"HBJOUXPDIBSUTBSFTIPXO#PUIDIBSUTTIPXB$52DIBSBDUFSJTUJDJOBDIFNJDBMDMFBWFQSPDFTTGPSBCJPMPHJD5IFUPQDIBSUVTFTUIFiNFBOwBQQSPBDI5IFMPXFSDIBSUJTB4IFXIBSUDPOUSPMDIBSUBHBJOUIF.PWJOH3BOHFDIBSUJTPNJUUFE

    5PPNBOZTDJFOUJTUTDPODMVEFUIBUUIFDIBSUVTJOHUIFiNFBOw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the process.

    Analytical Processes "OZTUBUJTUJDBMBQQSPBDIDBOCFOPCFUUFSUIBOUIFEBUBJUVTFT*NBHJOFBQSPEVDUJPOQSPDFTTUIBUJTJOTUBUJTUJDBMDPOUSPMCVUUIFBOBMZUJDBMQSPDFTTVTFEUPNFBTVSFJUJTVOTUBCMF*UJTQPTTJCMFUIBUUIFEBUBXJMMFYIJCJUJOTUBCJMJUZ5IJTJOUVSOXJMMDBVTFBOJOWFTUJHBUJPOGPSDBVTFTPGFYDFTTJWFWBSJBUJPOJOUIFQSPEVDUJPOBSFBBIVOUUIBUJTBMMXBTUFEFGGPSUBOEUIBUJTEPPNFEUPGBJMCFDBVTFUIFQSPCMFNTBSFJOUIFBOBMZUJDBMBSFB5IJTTVCKFDUBMPOFXPVMEGJMMTFWFSBMWPMVNFTBOEJUJTFBSNBSLFEBTUIFTVCKFDUGPSBGVUVSFUPQJDGPSUIJTDPMVNO'PSOPXJUXJMMTVGGJDFUPJMMVTUSBUFBTJNJMBSBOBMZUJDBMJTTVFXJUIUIFUXPDIBSUTJO'JHVSF5IFUPQDIBSUTIPXTUIFMBCPSBUPSZDPOUSPMTXJUIMJNJUTQMBDFEBUNFBO and the lower DIBSUTIPXTUIFMBCPSBUPSZDPOUSPMTBTB4IFXIBSUcontrol chart. The hunt for the trend factory people TBXJOUIFQSPEVDUJPOEBUBXBTOFWFSHPJOHUPSFWFBMSPPUDBVTFTCFDBVTFUIFUSFOEXBTJOUIFMBCPSBUPSZTanalytical processes.

    CONCLUSIONS*OPSEFSUPDPNQMZXJUIUIF'%"HVJEFMJOFTBOEUPCFUUFSHVBSBOUFFRVBMJUZBOEQSPEVDUJWJUZDPNQBOJFTJOUIFQIBSNBDFVUJDBMJOEVTUSZIBWFOPDIPJDFPUIFSUIBOUPVTF41$UFDIOJRVFTUPCSJOHBMMUIFJSDMJOJDBMUSJBMTEFWFMPQNFOUBOBMZUJDBMand production processes into a state of statistical DPOUSPM5IFHVJEFMJOFTTFFNUPMFBWFMJUUMFSPPNGPSJOUFSQSFUBUJPOBOEVOEFSTUBOEBCMZTP#FDBVTFBOVOTUBCMFQSPDFTTIBTOPLOPXODBQBCJMJUZXFDBOOPUDBMDVMBUFUIFQSPCBCJMJUZPGFJUIFSQBTTJOHPSGBJMJOHTQFDJGJDBUJPOTJOBTUBUJTUJDBMMZWBMJEXBZ

    0

    5

    10

    15

    20

    25

    30

    35

    40

    1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96 106101 111

    0

    5

    10

    15

    20

    25

    30

    35

    40

    101816141211

    1-P

    oin

    t Ave

    rag

    e

    Data with Shewhart control limits

    Limits set at mean 3Figure 2: Two approaches to calculating limits.

  • PROCESS VALIDATION Continued Process Verification 41

    John McConnell, Brian K. Nunnally, and Bernard McGarvey

    0SJHJOBMMZQVCMJTIFEJOUIF4QSJOHJTTVFPGThe Journal of Validation Technology

    VOUJMUIFQSPDFTTVOEFSFYBNJOBUJPOJTLOPXOUPCFTUBCMF0VSDPOTVNFSTIBWFBSJHIUUPFYQFDUUIBUUIFNFEJDJOFTUIFZUBLFDPNFGSPNDPOUSPMMFEBOEQSFEJDUBCMFQSPDFTTFT0VSTUPDLIPMEFSTIBWFBSJHIUUPFYQFDUUIBUXFXJMMOPUUISPXBXBZUIFJSJOWFTUNFOUXJUIVOOFDFTTBSZWBSJBUJPOBOEEFWJBUJPOT0VSFNQMPZFFTIBWFBSJHIUUPUBLFQSJEFBOEKPZJOUIFJSXPSL1SPEVDUJPOQFPQMFIBWFBSJHIUUPFYQFDUUIBUUIFBOBMZUJDBMTZTUFNTPOXIJDIUIFZBSFTPEFQFOEFOUBSFTUBCMF#SJOHJOHPVSprocesses into statistical control will help us to satisfy all these needs.

    4QFDJGJDBUJPOTBSFBOFDFTTBSZQBSUPGUIFCVTJOFTTMBOETDBQFCVUUPVTFUIFNGPSQSPDFTTBOBMZTJTBOEDPOUSPMPSGPSQSPDFTTNPOJUPSJOHJTBSFDJQFGPSUSPVCMF5IF4IFXIBSUBQQSPBDIJTJEFBMGPSUIFTFpurposes. It is a tried and true approach that has TUPPEUIFUFTUPGUJNF"MMUIBUSFNBJOTJTGPSUIFQIBSNBDFVUJDBMJOEVTUSZUPVTFJUXJEFMZBOEXJTFMZ

    REFERENCES#,/VOOBMMZBOE+4.D$POOFMMSix Sigma in the

    Pharmaceutical Industry$3$1SFTT#,/VOOBMMZ%'/VOOBMMZBOE+4.D$POOFMM

    i"WPJEJOHUIF1BJOPG0VUPG4QFDJGJDBUJPO3FTVMUTwBioPharm International+VOF

    8"4IFXIBSUEconomic Control of Quality of Manufactured Product7BO/PTUSBOE

    8"4IFXIBSUStatistical Method from the Viewpoint of Quality Control5IF(SBEVBUF4DIPPMPG"HSJDVMUVSF8BTIJOHUPO

    884DIFSLFOCBDIThe Deming Route to Quality and Productivity$&&1SFTT

    8&%FNJOHOut of the Crisis.*5'%"(VJEBODFGPS*OEVTUSZProcess Validation: General

    Principles and PracticesDraft GuidanceJVT

    ARTICLE ACRONYM LISTINGCTQ Critical to QualityFDA US Food and Drug AdministrationOOS Out-Of-SpecificationSPC Statistical Process Control

    15

    11-A

    pril-

    04

    14-A

    pril-

    04

    17-A

    pril-

    04

    20-A

    pril-

    04

    23-A

    pril-

    04

    26-A

    pril-

    04

    29-A

    pril-

    04

    2-M

    ay-0

    4

    5-M

    ay-0

    4

    8-M

    ay-0

    4

    11-M

    ay-0

    4

    14-M

    ay-0

    4

    17-M

    ay-0

    4

    20-M

    ay-0

    4

    11-A

    pril-

    04

    14-A

    pril-

    04

    17-A

    pril-

    04

    20-A

    pril-

    04

    23-A

    pril-

    04

    26-A

    pril-

    04

    29-A

    pril-

    04

    2-M

    ay-0

    4

    5-M

    ay-0

    4

    8-M

    ay-0

    4

    11-M

    ay-0

    4

    14-M

    ay-0

    4

    17-M

    ay-0

    4

    20-M

    ay-0

    4

    20

    25

    30

    35

    1-P

    oin

    t A

    vera

    ge

    12

    17

    22

    27

    32

    37

    Data with Shewhart control limits

    Limits set at mean 3

    Figure 3: Trending laboratory controls.