Performance measurement using shop floor data: Integrating information to enhance performance of manufacturing operations management
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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.
, Degree Project in Production Engineering Management, Second Level, 571
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-134349OAI: oai:DiVA.org:kth-134349DiVA: diva2:666022