Prioritization of the product characteristics for implementation of process control in powertrain production
Typ
Examensarbete för masterexamen
Program
Publicerad
2019
Författare
Balakrishna Kurup, Harikrishna
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The purpose of this research is to explore the method used by Volvo Group trucks operations to prioritize the
product characteristics for implementing Statistical process control (SPC) and identify its limitations and to
propose a new method that can overcome its limitations. This thesis focusses on Statistical process control (SPC)
in the gear machining processes of Volvo powertrain manufacturing center at Köping. The company has a need
for developing a better model for prioritizing product characteristics for implementing SPC and in order to be
prepared for SPC in the new manufacturing realm of industry 4.0. The company is looking to understand the
future form of SPC like the advantages and differences in methodologies. This thesis project was conducted by
Harikrishna Balakrishna Kurup. The method used at Volvo powertrain manufacturing center at Köping for
prioritizing product characteristics for implementation of SPC was analyzed and was compared against the best
method used in the industry for the same purpose and a new method is proposed in this thesis which can be used
in the context of Köping factory environment making the best use of available data at Köping factory. A
theoretical study about changes that new technological improvements have made on statistical process control
was conducted and It was tried to understand future SPC process and how it will be like and what are the additional
benefits of the new form of SPC were evaluated. a comparison of new and old forms of statistical process control
was made.
Beskrivning
Ämne/nyckelord
SPC, Product characteristics, Industry 4.0, IoT, MPC, PPC