I början av sin karriär gick Emma Danielsson ett produktions-traineeprogram på SKF. Under en greenbelt-utbildning insåg hon att statistik som ett förbättringsverktyg var både intressant och användbart – men på tok för tidskrävande för den framåtdrivande och målinriktade Emma Danielsson.
Därför lyfter sex sigma hållbarhetsarbetet till nya nivåer
Hållbarhet Sex sigma är en sedan länge väletablerad metod inom kvalitetsvärlden men hur kan den användas för att nå hållbarhetsmål? Emma Danielsson, hållbarhetschef för Swecos division Energy & Industry, har svaren.

Emma Danielsson. Foto: Anna W Thorbjörnsson
Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
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Efter traineeprogrammet började hon arbeta som produktionstekniker och observerade att teamet gjorde många satsningar som inte ledde till resultat. Man arbetade på känsla, osystematiskt och utan riktning. Emma Danielsson insåg att deras ganska omfattande förbättringsarbete faktiskt inte ledde till så många varaktiga förbättringar.
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


