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Effektivisering av monteringslina genom simuleringprogrammet ExtendSim
KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
2019 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Efficiency assembly line through the simulation program, ExtendSim (English)
Abstract [sv]

Uppdragsbeskrivningen till detta examensarbete kom från Sweparts verksamhet i Liatorp. Målet med examensarbetet var att utreda hur tillverkningsprocessen av Sweparts kraftuttag kan effektiviseras i avseende: kapacitet, mätt i antal produkter samt investeringskostnader och operatörslöner, genom att använda simuleringsprogrammet ExtendSim. En kartläggning av dagens den nuvarande monteringslinan gjordes för att få en få en klar bild av monteringsprocessen, processtider och antal operatörer, för att sedan kunna simulera en realistisk version av den nuvarande monteringslinan. En litteraturstudie av simulering, diskret händelsestyrd simulering, ExtendSim samt val av sannlikhetsfördelning gjordes för att fördjupa kunskapen inom ämnet simulering. När den nuvarande monteringslinan simulerats och verifierats, simulerades de valda nio scenarierna. De fem första scenarierna experimenterades det med olika antal operatörer, uppdelning av stationer och antal testmaskiner. De resterande tre var sammanslagna PTO- linor med olika antal operatörer och testmaskiner. Dessa analyserades med ett antal indikatorer: antal produkter efter åtta timmar, genomsnittlig kö och väntetid framför testmaskin samt utnyttjandegrad av operatörer. Resultatet av simuleringarna visade att de scenario 3 gav flest produkter efter åtta timmar med två testmaskiner och fyra operatörer. Följt av scenario 2, med tre testmaskiner och fem operatörer. Resultatet i avseende investeringskostnader och operatörslöner efter 15 år var bäst för scenario 8, med sammanslagen PTO- lina med två testmaskiner och tre operatörer. Scenario 4 var näst bäst med två testmaskiner och tre operatörer.

Abstract [en]

The objective for this thesis came from Swepart's operations in Liatorp. The aim of the thesis was to investigate how the manufacturing process of Swepart's power take-off can be improved in terms of: capacity, measurement in number of products and investment costs and operator salaries, by using the simulation program ExtendSim. A survey of today's current assembly line was made to get a clear picture of the assembly process, process times and number of operators, in order to then simulate a realistic version of the current assembly line. A literature study of simulation, discrete event-controlled simulation, ExtendSim and choice of truth distribution were made to deepen the knowledge in the subject of simulation. When the current assembly line was simulated and verified, the selected nine scenarios were simulated. The first five scenarios were experimented with different numbers of operators, division of stations and number of test machines. The remaining three were merged PTO lines with different numbers of operators and test machines. These were analyzed with a number of indicators: number of products after eight hours, average queue and waiting time in front of the test machine and the utilization rate ofoperators. The result of the simulations showed that the third scenario gave the most products after eight hours with two test machines and four operators. Followed by the second scenario, with three test machines and five operators. The result in terms of investment costs and operator salaries after 15 years was best for the eight scenario, with combined PTO line with two test machines and three operators. The fourth scenario was came in second, with two test machines and three operators.

Place, publisher, year, edition, pages
2019.
Keywords [en]
PTO, Power take off, simulation, ExtendSim
Keywords [sv]
PTO, ExtendSim, monteringsprocessen, simulering, Kraftuttag
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-254232OAI: oai:DiVA.org:kth-254232DiVA, id: diva2:1329314
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Examiners
Available from: 2019-06-24 Created: 2019-06-24 Last updated: 2019-06-24Bibliographically approved

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