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A Contemporary Six Sigma and Lean Integration: Towards the Ideal State
Linköping University, Department of Management and Engineering, Logistics & Quality Management.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
En Modern Integration av Six Sigma och Lean : Mot det Ideala Stadiet (Swedish)
Abstract [en]

A new reality, where human labor is replaced by automated machines is causing production management to rethink how they can steer the production to meet their customers demand. There is a gap of values, techniques and tools to communicate with the processes existing in the new modern factories, where data sometimes is the single output. This thesis purpose was to develop a model out of Lean and Six Sigma, as an answer to how modern factory could work with an information system, reaching the ideal state.

 

Through a theoretical analysis, Lean and Six Sigma differences in values, techniques and tools were weighted by the ideal state and recommendations from literature. Through a unstructured interview and system design review with a logistic group at a Swedish Modern Factory (SMF) a concept of an information system was developed. A project to test the model was initialized, where Define, Measure and Analyze phase was conducted. The model was thereafter modified from the projects implications.

 

The result was a Lean Six Sigma model which values are customer focus, ideal state, result orientation, committed leadership, education and involvement. The technique follow a DMAIC cycle and continuous improvements through a current to future state approach. The used techniques were considered Six Sigma heavy, where Leans principles are considered into the models values. The information system supports the model in setting the processes of the factory in either stability or potential state, where they differ in Measure and Analyze phase. The test at SMF developed several assignable causes to variation on the component As lead time. The model adapted after the test to involve a Measurement System Analysis (MSA), before setting the next current state of the process.

Abstract [sv]

En ny verklighet där människor byts ut mot automatiska maskiner får produktionstekniker att fundera hur det ska styra produktionen för att möta kunders behov. Det finns en brist av värderingar, tekniker och verktyg till att kommunicera med processer i de moderna fabrikerna, där data ibland är det enda att analysera. Examensarbetets syfte var att utveckla en Lean och Six Sigma modell, som ett svar för hur moderna företag kan arbeta med ett informationssystem, för att nå det ideala stadiet.

 

Genom en teoretisk analys har Leans och Six Sigmas skillnader blivit vägda mot rekommendationer från litteraturen och det ideala stadiet. Genom en ostrukturerad intervju och en genomgång av systemets design hos en logistikgrupp, på ett svenskt företag (SMF), har ett koncept av ett informationssystem framtagits. Ett projekt för att testa modellen påbörjades, där Define, Measure och Analyze fasen var genomförda. Modellen blev därefter modifierad genom de implikationer projektet stött på.

 

Resultatet av den teoretiska analysen gav en Lean Six Sigma modell, vilka värdering är kundfokus, ideala stadiet, resultatorientering, engagerat ledarskap, utbildning och medverkande. Tekniken följde en DMAIC (Define, Measure, Analyze, Improve, Control) cykel och kontinuerliga förbättringar, från nuläge till ett framtida tillstånd. Teknikerna blev Six Sigma tunga, där Leans principer var beaktade i modellens värderingar. Informationssystemet var en supportfunktion av modellen och skapar en status för fabrikens processer, antingen i stabilitet eller potential stadiet, där de skiljer sig åt i mät – och analys fasen. Testet på SMF genererade flera grundorsaker till variation för komponents As ledtid. Modellen anpassades till att innehålla en mätsystemsanalys (MSA), innan nuläget av processen bestäms.

Place, publisher, year, edition, pages
2017. , p. 69
Keywords [en]
Statistical Process Control, Lean Production, Six Sigma, Lean Six Sigma, Six Sigma Lean, Information System Development, Information System Research, Modern Factory
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:liu:diva-138348ISRN: LIU-IEI-TEK-A–17/02808–SEOAI: oai:DiVA.org:liu-138348DiVA, id: diva2:1109065
Subject / course
Quality Technology
Presentation
2017-05-29, Palmberget 3B:955, Linköpings Universitet (LiU) SE-581 83, Linköping, 13:15 (Swedish)
Supervisors
Examiners
Available from: 2017-08-14 Created: 2017-06-13 Last updated: 2017-08-14Bibliographically approved

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