{"id":104569,"date":"2026-10-20T19:34:39","date_gmt":"2026-10-20T19:34:39","guid":{"rendered":"https:\/\/skyplanner.ai\/?p=104569"},"modified":"2026-10-20T19:35:32","modified_gmt":"2026-10-20T19:35:32","slug":"first-pass-yield","status":"publish","type":"post","link":"https:\/\/skyplanner.ai\/lv\/resursi\/first-pass-yield\/","title":{"rendered":"First Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi"},"content":{"rendered":"
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First Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi<\/h1>\n\n
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S\u0101kums<\/a> » Resursi<\/a> » First Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi<\/p>\n\n\n

<\/path><\/svg><\/span><\/span>Aptuvenais las\u012b\u0161anas laiks: <\/span>9<\/span> min\u016btes<\/span><\/p>\n\n<\/div>\n

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First pass yield (FPY) ir to deta\u013cu \u012bpatsvars procentos, kuras noteiktaj\u0101 proces\u0101 jau ar pirmo m\u0113\u0123in\u0101jumu atbilst saska\u0146otaj\u0101m kvalit\u0101tes pras\u012bb\u0101m \u2014 bez remonta, labo\u0161anas vai atk\u0101rtotas test\u0113\u0161anas p\u0113c nesekm\u012bga testa. \u0160is r\u0101d\u012bt\u0101js par\u0101da, cik liela da\u013ca produkcijas bija der\u012bga jau pirmaj\u0101 reiz\u0113, nevis cik liela da\u013ca galu gal\u0101 k\u013cuva pie\u0146emama.<\/p>\n\n\n

\u0160\u012b at\u0161\u0137ir\u012bba ir svar\u012bga, ja gatav\u0101s produkcijas apjoms izskat\u0101s labs, bet ra\u017eotne ar gr\u016bt\u012bb\u0101m tiek gal\u0101 ar slodzi. Salabot\u0101s deta\u013cas joproj\u0101m var nos\u016bt\u012bt klientam, ta\u010du to sagatavo\u0161anai ir pat\u0113r\u0113ts laiks, kas bija vajadz\u012bgs citiem pas\u016bt\u012bjumiem. Uzskaitot gan FPY, gan labo\u0161anai ieguld\u012bto darbu, var ieraudz\u012bt to, kas der\u012bg\u0101s produkcijas kopapjom\u0101 nav redzams. Sasaistot \u0161o darbu ar ra\u017eo\u0161anas uzskaiti un grafiku sast\u0101d\u012b\u0161anu SkyPlanner, var lab\u0101k izprast t\u0101 ietekmi uz jaudu un pieg\u0101d\u0113m.<\/p>\n\n\n

K\u0101 apr\u0113\u0137in\u0101t first pass yield<\/h2>\n\n\n

Izmantojiet \u0161o formulu:<\/p>\n\n\n

First pass yield (%) = Ar pirmo m\u0113\u0123in\u0101jumu pie\u0146emto deta\u013cu skaits \u00f7 Noteiktaj\u0101 proces\u0101 ievad\u012bto deta\u013cu skaits \u00d7 100<\/strong><\/p>\n\n\n

Skaitiet katru deta\u013cu tikai vienu reizi, nevis p\u0101rbaudes reizes vai atsevi\u0161\u0137us defektus. Deta\u013ca, kura s\u0101kotn\u0113ji neatbilst pras\u012bb\u0101m, p\u0113c tam tiek labota un pie\u0146emta, ir der\u012bga gala produkcija, ta\u010du t\u0101 nav pie\u0146emta ar pirmo m\u0113\u0123in\u0101jumu. Ar\u012b deta\u013ca ar vair\u0101kiem defektiem \u0161aj\u0101 apr\u0113\u0137in\u0101 ir viena neatbilsto\u0161a deta\u013ca.<\/p>\n\n\n

Pirms datu apkopo\u0161anas nosakiet procesa robe\u017eas. Varat v\u0113rt\u0113t meh\u0101nisk\u0101s apstr\u0101des oper\u0101ciju, test\u0113\u0161anas staciju vai visu ra\u017eo\u0161anas mar\u0161rutu. Skait\u012bt\u0101jam un sauc\u0113jam j\u0101attiecas uz vienu un to pa\u0161u deta\u013cu grupu izv\u0113l\u0113taj\u0101s procesa robe\u017e\u0101s.<\/p>\n\n\n

Piem\u0113rs: FPY ir 90%, gala der\u012bg\u0101s produkcijas \u012bpatsvars \u2014 96%<\/h3>\n\n\n

Iedom\u0101jieties 500 meh\u0101niski apstr\u0101d\u0101tu deta\u013cu partiju, kurai ir zin\u0101mi visi pirm\u0101s p\u0101rbaudes rezult\u0101ti:<\/p>\n\n\n

Pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101ts<\/th>Deta\u013cu skaits<\/th>Kas notiek t\u0101l\u0101k<\/th><\/tr><\/thead>
Pie\u0146emtas bez labo\u0161anas<\/td>450<\/td>Gatavas n\u0101kamajai oper\u0101cijai<\/td><\/tr>
Nos\u016bt\u012btas labo\u0161anai<\/td>40<\/td>30 v\u0113l\u0101k tiek pie\u0146emtas; 10 galu gal\u0101 tiek norakst\u012btas br\u0101\u0137\u012b<\/td><\/tr>
Uzreiz norakst\u012btas br\u0101\u0137\u012b<\/td>10<\/td>Nevar virz\u012bt t\u0101l\u0101k<\/td><\/tr>
Kop\u0101 oper\u0101cij\u0101 ievad\u012btas<\/td>500<\/td>Katrai deta\u013cai ir viens pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101ts<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n

First pass yield ir:<\/p>\n\n\n

450 \u00f7 500 \u00d7 100 = 90%<\/strong><\/p>\n\n\n

P\u0113c labo\u0161anas ir pie\u0146emtas 480 deta\u013cas: s\u0101kotn\u0113j\u0101s 450 un v\u0113l 30 veiksm\u012bgi salabot\u0101s. T\u0101tad \u0161\u012bs partijas gala der\u012bg\u0101s produkcijas \u012bpatsvars ir:<\/p>\n\n\n

480 \u00f7 500 \u00d7 100 = 96%<\/strong><\/p>\n\n\n

Abi procentu\u0101lie r\u0101d\u012bt\u0101ji ir noder\u012bgi. FPY raksturo pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101tu. Gala der\u012bg\u0101s produkcijas \u012bpatsvars par\u0101da, k\u0101da da\u013ca galu gal\u0101 tika pie\u0146emta, ieskaitot veiksm\u012bgi salabot\u0101s deta\u013cas. Uzr\u0101dot tikai 96%, paliek apsl\u0113pts darbs, kas bija vajadz\u012bgs \u0161o 30 deta\u013cu labo\u0161anai.<\/p>\n\n\n

Ar\u012b atliku\u0161ie 10% FPY apr\u0113\u0137in\u0101 nav br\u0101\u0137a \u012bpatsvars. \u0160aj\u0101 piem\u0113r\u0101 galu gal\u0101 br\u0101\u0137\u012b noraksta 20 deta\u013cas, t\u0101p\u0113c gala br\u0101\u0137a \u012bpatsvars ir 4%. V\u0113l 6% no s\u0101kotn\u0113j\u0101s partijas k\u013cuva der\u012bgi p\u0113c papildu darba. At\u0146emot tikai br\u0101\u0137i, ieg\u016btu gala der\u012bg\u0101s produkcijas \u012bpatsvaru, nevis first pass yield.<\/p>\n\n\n

Pirms uzticaties procentiem, sak\u0101rtojiet uzskaites noteikumus<\/h2>\n\n\n

Pats apr\u0113\u0137ins ir vienk\u0101r\u0161s. Vair\u0101k uzman\u012bbas prasa tas, lai uzskait\u0113 saglab\u0101tos j\u0113dziena \u201cpirmais m\u0113\u0123in\u0101jums\u201d noz\u012bme, \u012bpa\u0161i tad, ja ra\u017eo\u0161anas un p\u0101rbau\u017eu dati n\u0101k no da\u017e\u0101d\u0101m sist\u0113m\u0101m.<\/p>\n\n\n

1. Izv\u0113lieties vienu procesu un sal\u012bdzin\u0101mu produktu grupu.<\/strong> Pie\u0146em\u0161ana ar pirmo m\u0113\u0123in\u0101jumu meh\u0101niskaj\u0101 apstr\u0101d\u0113 v\u0113l nenoz\u012bm\u0113 visa mezgla gal\u012bgo pie\u0146em\u0161anu. Skaidri nosakiet mar\u0161rutus un pie\u0146em\u0161anas pras\u012bbas, lai izmai\u0146as produktu sortiment\u0101 nerad\u012btu mald\u012bgu iespaidu par kvalit\u0101tes uzlabo\u0161anos.<\/p>\n\n\n

2. Sasaistiet proces\u0101 ievad\u012bto deta\u013cu grupu ar t\u0101s rezult\u0101tiem.<\/strong> S\u0101ciet ar partiju vai citu izsekojamu grupu, kurai ir zin\u0101mi pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101ti. Dalot \u0161odien pabeigto un pie\u0146emto deta\u013cu skaitu ar \u0161odien ies\u0101kto deta\u013cu skaitu, var sajaukt da\u017e\u0101das deta\u013cu grupas, \u012bpa\u0161i tad, ja ra\u017eo\u0161anas uzdevumi turpin\u0101s vair\u0101k\u0101s mai\u0146\u0101s.<\/p>\n\n\n

3. Saglab\u0101jiet s\u0101kotn\u0113jo rezult\u0101tu.<\/strong> Atsevi\u0161\u0137i uzskaitiet pie\u0146em\u0161anu ar pirmo m\u0113\u0123in\u0101jumu un v\u0113l\u0101ku pie\u0146em\u0161anu p\u0113c labo\u0161anas vai atk\u0101rtotas test\u0113\u0161anas. Ja p\u0113c salabot\u0101s deta\u013cas pie\u0146em\u0161anas p\u0101rraksta s\u0101kotn\u0113jo neatbilst\u012bbas rezult\u0101tu, uzskaites v\u0113sture izskat\u0101s lab\u0101ka, lai gan notiku\u0161ais nav main\u012bjies.<\/p>\n\n\n

4. Noteiktaj\u0101s procesa robe\u017e\u0101s katru deta\u013cu ieskaitiet vienu reizi.<\/strong> Vair\u0101ki defekti, atk\u0101rtoti testi un atk\u0101rtoti laika uzskaites ieraksti nepalielina s\u0101kotn\u0113jo deta\u013cu skaitu. Izmantojiet deta\u013cu identifikatorus vai savstarp\u0113ji saska\u0146otu partijas uzskaiti, kur\u0101 saglab\u0101ti daudzumi un labo\u0161anas v\u0113sture.<\/p>\n\n\n

5. Uzr\u0101diet deta\u013cas, kuru rezult\u0101ti v\u0113l nav zin\u0101mi.<\/strong> Deta\u013cas, kas v\u0113l gaida p\u0101rbaudi, nav autom\u0101tiski ne pie\u0146emtas, ne noraid\u012btas. Uzr\u0101diet \u0161o deta\u013cu skaitu un grupas FPY gal\u012bgi apr\u0113\u0137iniet tad, kad ir zin\u0101mi visi pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101ti, nevis neman\u0101mi izsl\u0113dziet no uzskaites problem\u0101tisk\u0101s deta\u013cas.<\/p>\n\n\n

Oper\u0101cijas parastaj\u0101 mar\u0161rut\u0101 var b\u016bt paredz\u0113tas vair\u0101kas p\u0101rbaudes. Saska\u0146ot\u0101s p\u0101rbau\u017eu sec\u012bbas pareiza izpilde pirmaj\u0101 reiz\u0113 nav tas pats, kas nesekm\u012bga testa atk\u0101rto\u0161ana vai defekta labo\u0161ana. Iek\u013caujiet \u0161o at\u0161\u0137ir\u012bbu r\u0101d\u012bt\u0101ja defin\u012bcij\u0101 un konsekventi to iev\u0113rojiet.<\/p>\n\n\n

Ja p\u0101rskat\u0101 ir tikai kop\u0113jais pabeigto un neatbilsto\u0161o deta\u013cu skaits<\/a>, pirms izmantojat \u0161os datus FPY apr\u0113\u0137inam, p\u0101rbaudiet \u0161o lauku noz\u012bmi. Jums j\u0101zina, vai pie\u0146emto deta\u013cu skait\u0101 ir iek\u013cautas ar\u012b salabot\u0101s deta\u013cas un vai atk\u0101rtotas apstr\u0101des d\u0113\u013c t\u0101s nav ieskait\u012btas vair\u0101kas reizes.<\/p>\n\n\n

First pass yield un visa mar\u0161ruta pirm\u0101 m\u0113\u0123in\u0101juma r\u0101d\u012bt\u0101js RTY<\/h2>\n\n\n

Atsevi\u0161\u0137as oper\u0101cijas rezult\u0101ti var izskat\u012bties labi, lai gan vis\u0101 mar\u0161rut\u0101 ir vajadz\u012bgs iev\u0113rojams labo\u0161anas darbs. Rolled throughput yield (RTY) raksturo kop\u0113jo pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101tu sec\u012bgos procesa posmos.<\/p>\n\n\n

Ja procesa posmi veido vienotu sec\u012bbu, reiziniet to r\u0101d\u012bt\u0101jus, izsakot tos k\u0101 decim\u0101lda\u013cas:<\/p>\n\n\n

RTY (%) = FPY 1. posm\u0101 \u00d7 FPY 2. posm\u0101 \u00d7 \u2026 \u00d7 100<\/strong><\/p>\n\n\n

Iedom\u0101jieties, ka izsekojat 1 000 deta\u013cu pl\u016bsmai tr\u012bs oper\u0101cij\u0101s. \u0160aj\u0101 piem\u0113r\u0101 uzskaites grup\u0101 t\u0101l\u0101k paliek tikai t\u0101s deta\u013cas, kur\u0101m nav bijis neviena nesekm\u012bga pirm\u0101 m\u0113\u0123in\u0101juma; salabot\u0101s deta\u013cas \u0161aj\u0101 grup\u0101 neatgrie\u017eas.<\/p>\n\n\n

Oper\u0101cija<\/th>Uzskaites grupas deta\u013cas oper\u0101cijas s\u0101kum\u0101<\/th>Ar pirmo m\u0113\u0123in\u0101jumu pie\u0146emt\u0101s deta\u013cas<\/th>Posma FPY<\/th><\/tr><\/thead>
Meh\u0101nisk\u0101 apstr\u0101de<\/td>1 000<\/td>900<\/td>90%<\/td><\/tr>
Gala apstr\u0101de<\/td>900<\/td>810<\/td>90%<\/td><\/tr>
Test\u0113\u0161ana<\/td>810<\/td>729<\/td>90%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n

0,90 \u00d7 0,90 \u00d7 0,90 \u00d7 100 = 72,9% RTY<\/strong><\/p>\n\n\n

Katras oper\u0101cijas FPY ir 90%, ta\u010du tikai 729 no s\u0101kotn\u0113j\u0101m 1 000 deta\u013c\u0101m iziet visas tr\u012bs oper\u0101cijas bez neatbilst\u012bbas. Apr\u0113\u0137inot \u0161o tr\u012bs procentu\u0101lo r\u0101d\u012bt\u0101ju vid\u0113jo v\u0113rt\u012bbu, ieg\u016btu 90% un apsl\u0113ptu kop\u0113jo ietekmi.<\/p>\n\n\n

Re\u0101l\u0101 ra\u017eo\u0161an\u0101 salabot\u0101s deta\u013cas var atgriezties pl\u016bsm\u0101, un produktiem var b\u016bt da\u017e\u0101di mar\u0161ruti. Reiziniet tikai t\u0101du posmu r\u0101d\u012bt\u0101jus, kas attiecas uz vienotu mar\u0161rutu un apr\u0113\u0137in\u0101ti p\u0113c savstarp\u0113ji saska\u0146otiem uzskaites principiem. Nereiziniet nesaist\u012btu noda\u013cu vid\u0113jos r\u0101d\u012bt\u0101jus un nepasniedziet rezult\u0101tu k\u0101 faktiski nov\u0113roto deta\u013cu \u012bpatsvaru, kuras sekm\u012bgi izg\u0101ju\u0161as visu procesu. Saglab\u0101jot katras deta\u013cas pirm\u0101 m\u0113\u0123in\u0101juma v\u0113sturi, var p\u0101rbaud\u012bt, cik daudz s\u0101kotn\u0113jo deta\u013cu patie\u0161\u0101m izg\u0101ja visu mar\u0161rutu bez labo\u0161anas.<\/p>\n\n\n

K\u0101ds first pass yield ir uzskat\u0101ms par labu?<\/h2>\n\n\n

Lietder\u012bgam m\u0113r\u0137im j\u0101atbilst produktam, procesam, kvalit\u0101tes pras\u012bb\u0101m un neatbilst\u012bbas sek\u0101m. Ar visp\u0101r\u012bgu atskaites r\u0101d\u012bt\u0101ju nepietiek, lai spriestu, vai j\u016bsu konkr\u0113t\u0101 oper\u0101cija tiek veikta labi.<\/p>\n\n\n

S\u0101ciet ar sal\u012bdzin\u0101mu darbu rezult\u0101tu tendenci. V\u0113rt\u0113jiet procentu\u0101lo r\u0101d\u012bt\u0101ju kop\u0101 ar uzskait\u012bto deta\u013cu skaitu, neatbilst\u012bbu iemesliem un labo\u0161anas darbu apjomu. Augst\u0101ks FPY ir noz\u012bm\u012bgs, ja tiek piem\u0113roti tie pa\u0161i pie\u0146em\u0161anas noteikumi; tas nav uzlabojums, ja komanda tikai m\u012bkstin\u0101jusi p\u0101rbaudes krit\u0113rijus vai izsl\u0113gusi problem\u0101tisk\u0101s deta\u013cas no sauc\u0113ja.<\/p>\n\n\n

Lai pan\u0101ktu uzlabojumu, mekl\u0113jiet atk\u0101rtotu probl\u0113mu, kuru varat nov\u0113rst. Grup\u0113jiet pirm\u0101 m\u0113\u0123in\u0101juma neatbilst\u012bbas p\u0113c oper\u0101cijas un apstiprin\u0101t\u0101 c\u0113lo\u0146a. Atk\u0101rtotas izm\u0113ru neatbilst\u012bbas vienam produktam var nor\u0101d\u012bt uz instrumentu, stiprin\u0101\u0161anas ier\u012bci, materi\u0101lu vai metodi, ta\u010du procentu\u0101lais r\u0101d\u012bt\u0101js pats par sevi nepasaka, kur\u0161 no tiem ir vainojams. P\u0101rbaudiet pier\u0101d\u012bjumus kop\u0101 ar darba veic\u0113jiem, nov\u0113rsiet c\u0113loni un v\u0113lreiz izm\u0113riet sal\u012bdzin\u0101mas produkcijas rezult\u0101tus.<\/p>\n\n\n

\u0145emiet v\u0113r\u0101 ar\u012b labo\u0161anas slodzi. Div\u0101m oper\u0101cij\u0101m ar vien\u0101du FPY sekas var b\u016bt \u013coti at\u0161\u0137ir\u012bgas, ja vien\u0101 pietiek ar \u0101tru labojumu, bet otr\u0101 uz vair\u0101k\u0101m stund\u0101m j\u0101aiz\u0146em koplietojama iek\u0101rta. \u0160\u0101dos gad\u012bjumos kvalit\u0101tes rezult\u0101ti j\u0101\u0146em v\u0113r\u0101, pie\u0146emot pl\u0101no\u0161anas l\u0113mumus.<\/p>\n\n\n

Apr\u0113\u0137iniet, cik jaudas paties\u012bb\u0101 prasa ar FPY saist\u012btie labo\u0161anas darbi<\/h2>\n\n\n

Atgriez\u012bsimies pie 500 deta\u013cu partijas. Pie\u0146emsim, ka katrs no 40 labo\u0161anas m\u0113\u0123in\u0101jumiem taj\u0101 pa\u0161\u0101 apstr\u0101des centr\u0101 aiz\u0146em v\u0113l 12 min\u016btes neatkar\u012bgi no t\u0101, vai deta\u013cu galu gal\u0101 pie\u0146em vai noraksta br\u0101\u0137\u012b.<\/p>\n\n\n

40 m\u0113\u0123in\u0101jumi \u00d7 12 min\u016btes = 480 min\u016btes = 8 ma\u0161\u012bnstundas<\/strong><\/p>\n\n\n

Gala izn\u0101kuma p\u0101rskat\u0101 redzamas 480 pie\u0146emtas deta\u013cas. Ta\u010du ra\u017eo\u0161anas pl\u0101n\u0101 j\u0101\u0146em v\u0113r\u0101 ar\u012b \u0161\u012bs asto\u0146as papildu stundas. Papildu iestat\u012b\u0161ana, p\u0101rbaude vai p\u0101rvieto\u0161ana var pras\u012bt laiku ar\u012b citos posmos.<\/p>\n\n\n

Nepie\u0146emiet, ka 10% neatbilst\u012bbu pirmaj\u0101 m\u0113\u0123in\u0101jum\u0101 noz\u012bm\u0113 tie\u0161i 10% zaud\u0113tas jaudas. Defektu nov\u0113r\u0161anas mar\u0161ruti un to ilgums at\u0161\u0137iras. Apr\u0113\u0137iniet faktiski nepiecie\u0161amo darba apjomu un slodzi uz resursiem, kuriem \u0161is darbs j\u0101veic. Ar\u012b iek\u0101rtu darba stundas un operatoru darba stundas j\u0101uzskaita atsevi\u0161\u0137i, ja t\u0101s raksturo at\u0161\u0137ir\u012bgus ierobe\u017eojumus.<\/p>\n\n\n

Ja \u0161is apstr\u0101des centrs pirms svar\u012bga s\u016bt\u012bjuma jau ir noslogots, labo\u0161anas darbu ievieto\u0161ana atsevi\u0161\u0137\u0101 rind\u0101 papildu jaudu nerada. T\u0101 maina to, kuru pas\u016bt\u012bjumu var pabeigt pirmo. Savlaic\u012bgi pamanot slodzes konfliktu, varat noteikt priorit\u0101ti, izmantot citu piem\u0113rotu resursu vai p\u0101rskat\u012bt sol\u012bto pieg\u0101des termi\u0146u, pirms probl\u0113ma k\u013c\u016bst par p\u0113d\u0113j\u0101 br\u012b\u017ea p\u0101rsteigumu.<\/p>\n\n\n

Izmantojiet SkyPlanner, lai uzskait\u012btos labo\u0161anas darbus iek\u013cautu n\u0101kamaj\u0101 ra\u017eo\u0161anas pl\u0101n\u0101<\/h2>\n\n\n

SkyPlanner apvieno ra\u017eo\u0161anas laika uzskaiti, detaliz\u0113tus p\u0101rskatus un grafiku sast\u0101d\u012b\u0161anu ar m\u0101ksl\u012bgo intelektu. Ra\u017eotnei, kur\u0101 labo\u0161anas darbi past\u0101v\u012bgi kav\u0113 pieg\u0101des, tas ir noder\u012bgs n\u0101kamais solis: skaidri par\u0101d\u012bt defektu nov\u0113r\u0161anai vajadz\u012bgo darbu un apstiprin\u0101tos labo\u0161anas darbus re\u0101listiski iepl\u0101not l\u012bdz\u0101s klientu pas\u016bt\u012bjumiem.<\/p>\n\n\n

SkyPlanner laika uzskaites r\u012bks Timer re\u0123istr\u0113 darba laiku un sara\u017eoto vai br\u0101\u0137\u0113to deta\u013cu skaitu. P\u0101rskat\u0101 All Timelogs Report \u0161ie ieraksti ir sasaist\u012bti ar ra\u017eo\u0161anas uzdevumu, procesa posmu, darba centru, darbinieku, s\u0101kuma un beigu laiku, pabeigtaj\u0101m un br\u0101\u0137\u0113taj\u0101m deta\u013c\u0101m, uzskait\u012bto laiku un piez\u012bm\u0113m. Tur ierakstus var p\u0101rskat\u012bt, redi\u0123\u0113t un apstiprin\u0101t.<\/p>\n\n\n

Ja labo\u0161anas darbi ir atsevi\u0161\u0137i identific\u0113ti ra\u017eo\u0161anas uzdevumos un laika uzskaites ierakstos, varat izp\u0113t\u012bt, kam izlietots to veik\u0161anai uzskait\u012btais laiks, nevis pazaud\u0113t \u0161o inform\u0101ciju kop\u0113j\u0101 dienas r\u0101d\u012bt\u0101j\u0101. FPY apr\u0113\u0137inam saglab\u0101jiet kvalit\u0101tes uzskaites vai MES datus par deta\u013cu pie\u0146em\u0161anu pirmaj\u0101 m\u0113\u0123in\u0101jum\u0101 un labo\u0161anas v\u0113sturi. \u0160ie dati izskaidro kvalit\u0101tes rezult\u0101tu, savuk\u0101rt saist\u012btie laika uzskaites ieraksti par\u0101da, cik darba pras\u012bjusi defektu nov\u0113r\u0161ana.<\/p>\n\n\n

P\u0113c tam iek\u013caujiet grafik\u0101 apstiprin\u0101t\u0101s defektu nov\u0113r\u0161anas oper\u0101cijas<\/a>, to ilgumu un izpildei piem\u0113rotos resursus. Arcturus, SkyPlanner m\u0101ksl\u012bgais intelekts grafiku sast\u0101d\u012b\u0161anai, apr\u0113\u0137ina darbu izvietojumu, \u0146emot v\u0113r\u0101 iestat\u012bto jaudu, oper\u0101ciju savstarp\u0113j\u0101s atkar\u012bbas un priorit\u0101tes. Gantt laika skal\u0101 redzama ieg\u016bt\u0101 darbu sec\u012bba un pabeig\u0161anas datumi. J\u016bs nosak\u0101t priorit\u0101tes un to, kurus l\u0113mumus nedr\u012bkst main\u012bt; Arcturus veic savstarp\u0113ji saist\u012bto darbu pl\u0101no\u0161anai nepiecie\u0161amos apr\u0113\u0137inus.<\/p>\n\n\n

\u0160aj\u0101 hipot\u0113tiskaj\u0101 piem\u0113r\u0101 jaut\u0101jums par partiju k\u013c\u016bst konkr\u0113ts: kur grafik\u0101 atrast vietu v\u0113l asto\u0146\u0101m apstr\u0101des stund\u0101m, un k\u0101 tas ietekm\u0113s pas\u016bt\u012bjumus, kuriem \u0161is resurss jau iepl\u0101nots? P\u0101rr\u0113\u0137inot kop\u0113jo pl\u0101nu<\/a>, \u0161\u012b izv\u0113le un t\u0101s sekas k\u013c\u016bst redzamas, un nav manu\u0101li j\u0101piel\u0101go atsevi\u0161\u0137a darbu rinda katram skartajam darba centram.<\/p>\n\n\n

SkyPlanner var integr\u0113t ar jebkuru ERP vai MES sist\u0113mu, izmantojot t\u0101 atv\u0113rto REST API. Varat turpin\u0101t izmantot sist\u0113mas, kur\u0101s glab\u0101jat pas\u016bt\u012bjumus un kvalit\u0101tes v\u0113sturi, vienlaikus iek\u013caujot no t\u0101m izrieto\u0161os darbus ra\u017eo\u0161anas grafik\u0101, kas \u0146em v\u0113r\u0101 ierobe\u017eotu jaudu.<\/p>\n\n\n

Noskaidrojiet, k\u0101 neatbilst\u012bbas pirmaj\u0101 m\u0113\u0123in\u0101jum\u0101 ietekm\u0113 pieg\u0101des<\/h2>\n\n\n

Izv\u0113lieties vienu oper\u0101ciju, kur\u0101 gal\u012bgais pie\u0146emto deta\u013cu skaits regul\u0101ri sl\u0113pj papildu darbu. Uz SkyPlanner demonstr\u0101ciju sagatavojiet datus par \u0161\u012bs oper\u0101cijas pirm\u0101 m\u0113\u0123in\u0101juma rezult\u0101tiem, tipisku apstiprin\u0101tu defektu nov\u0113r\u0161anas mar\u0161rutu un klienta pas\u016bt\u012bjumu, kuru tas ietekm\u0113.<\/p>\n\n\n

Tas dos konkr\u0113tu s\u0101kumpunktu, lai noskaidrotu, k\u0101 ra\u017eo\u0161anas uzskaites dati un kop\u012bgs grafiks var pal\u012bdz\u0113t j\u016bsu komandai r\u012bkoties: izprast defektu nov\u0113r\u0161anai vajadz\u012bgo darba apjomu, izv\u0113rt\u0113t slodzes konfliktu un pie\u0146emt n\u0101kamo l\u0113mumu par pieg\u0101di, balstoties uz pl\u0101nu, kur\u0101 iek\u013cauts ar\u012b v\u0113l paveicamais darbs. Piesakieties SkyPlanner demonstr\u0101cijai<\/a>, lai izskat\u012btu savu procesu, vai vispirms izm\u0113\u0123iniet SkyPlanner ar demonstr\u0101cijas datiem<\/a>.<\/p>\n\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

First Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi S\u0101kums » Resursi » First Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi First pass yield (FPY) ir to deta\u013cu \u012bpatsvars procentos, kuras noteiktaj\u0101 proces\u0101 jau ar pirmo m\u0113\u0123in\u0101jumu atbilst saska\u0146otaj\u0101m kvalit\u0101tes pras\u012bb\u0101m \u2014 bez remonta, labo\u0161anas vai atk\u0101rtotas test\u0113\u0161anas p\u0113c nesekm\u012bga testa. \u0160is r\u0101d\u012bt\u0101js par\u0101da, … Read more<\/a><\/p>\n","protected":false},"author":3,"featured_media":104594,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[2559,317],"tags":[],"class_list":["post-104569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-razosanas-efektivitate","category-resursi","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"acf":[],"yoast_head":"\nFirst Pass Yield: formula, piem\u0113rs un sl\u0113ptie labo\u0161anas darbi<\/title>\n<meta name=\"description\" content=\"Apr\u0113\u0137iniet first pass yield, neieskaitot labot\u0101s deta\u013cas k\u0101 der\u012bgas pirmaj\u0101 reiz\u0113. 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