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
Performance measurement using shop floor data: Integrating information to enhance performance of manufacturing operations management
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Networking machinery enables companies to easily retrieve information from modern production systems. Still, a lot of information remains unused. This results in performance gaps, since not all relevant information is taken into consideration when making decisions in the context of operational management. Users regard information as valuable as soon as it supports the achievement of a production objective. Therefore, the linkage between the origin of information and the user becomes important. Integrating information in a comprehensive and effective way contributes to a performance improvement of a production system. At the same time as more information is available, performance measures, which are a tool to improve performance when applied correctly, have received a lot of attention in research. However, the applicability of performance measures based on shop floor data remains a challenging task. Due to that, this thesis intends to close performance gaps by the means of performance measures which are based on shop floor data. In the beginning of this work, the sources of information as well as users and their objectives are identified. Additionally, existing performance measures and frameworks are reviewed. A four-stage based approach for the introduction of a measurement framework focussing on the utilization of shop floor data is developed. This approach is accompanied by a tool, which facilitates the development process of performance measures and establishes a link between users and the sources of information. In the last part of this thesis, the approach and tool are tested in an industrial environment.

Place, publisher, year, edition, pages
2013. , 81 p.
Series
Degree Project in Production Engineering Management, Second Level, 571
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-134349OAI: oai:DiVA.org:kth-134349DiVA: diva2:666022
Examiners
Available from: 2013-11-21 Created: 2013-11-21 Last updated: 2013-11-21Bibliographically approved

Open Access in DiVA

fulltext(3595 kB)565 downloads
File information
File name FULLTEXT01.pdfFile size 3595 kBChecksum SHA-512
05642c40a0e8c73db7f607c9e858219a41d52025148a15b6ae3b7cda99af806fa2f7c08edf8b02fb5a2a2c8c852da5a2615e23651e51cea786517cdc0e2ee847
Type fulltextMimetype application/pdf

By organisation
Production Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 565 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: 184 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