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Bottleneck analysis using reverse-score: An experimental study
Högskolan i Skövde, Institutionen för ingenjörsvetenskap.
2019 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 12 poäng / 18 hpOppgave
Abstract [en]

There are manufacturing systems all over the world and all of them present dif- ferent characteristics. To get close to those manufacturing systems and aid them to analyze data and improve their efficiency, it arises FACTS Analyzer®. The present project concerns the development of a bottleneck analysis using REVERSE- SCORE (Simulation based COnstraint REmoval), feature included in FACTS Ana- lyzer. It is used Simulation-based Multi-Objective Optimization (SMO) to ana- lyze the different variables of a production line and investigate how to best extend previous application of SMO for bottleneck detection to not only consider im- provements of system parameters but also degradations of them. Degrading some system parameters can have many hidden advantages such as reduce power con- sumption, increase material efficiency or lengthen the useful life of the machines or tools, advantages that can draw near sustainability.

sted, utgiver, år, opplag, sider
2019. , s. 83
Emneord [en]
Bottleneck, simulation, manufacturing line, multi-objective optimization, FACTS Analyzer, SCORE, sustainability, reduce power consumption.
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-17327OAI: oai:DiVA.org:his-17327DiVA, id: diva2:1332639
Eksternt samarbeid
Volvo Car Corporation
Fag / kurs
Virtual Product Realization
Utdanningsprogram
Intelligent Automation - Master's Programme, 60 ECTS
Veileder
Examiner
Tilgjengelig fra: 2019-06-30 Laget: 2019-06-28 Sist oppdatert: 2019-07-01bibliografisk kontrollert

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