his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bottleneck analysis using reverse-score: An experimental study
University of Skövde, School of Engineering Science.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 12 credits / 18 HE creditsStudent thesis
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.

Place, publisher, year, edition, pages
2019. , p. 83
Keywords [en]
Bottleneck, simulation, manufacturing line, multi-objective optimization, FACTS Analyzer, SCORE, sustainability, reduce power consumption.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-17327OAI: oai:DiVA.org:his-17327DiVA, id: diva2:1332639
External cooperation
Volvo Car Corporation
Subject / course
Virtual Product Realization
Educational program
Intelligent Automation - Master's Programme, 60 ECTS
Supervisors
Examiners
Available from: 2019-06-30 Created: 2019-06-28 Last updated: 2019-07-01Bibliographically approved

Open Access in DiVA

fulltext(20758 kB)16 downloads
File information
File name FULLTEXT01.pdfFile size 20758 kBChecksum SHA-512
9b3d633dbf3fc06f4eaf54c211ea7df4db20852877b079b70bcb2142dfa81117a996af7af20180d282b365bb6ec55b7307397cf2b14d548632e9adb822851c88
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Galindo Aranda, Patricia Cristina
By organisation
School of Engineering Science
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar
Total: 16 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 32 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf