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  • 1.
    Ljung, Marcus
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Staf Vadin, Adam
    Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Säkerställning av mätprocessers tillförlitlighet: En fallstudie på Volvo Group Trucks Operations2018Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesis
    Abstract [en]

    Quality insurance is an important part of a manufacturing company in order to achieve and maintain its competitiveness. To measure how the company’s processes are performing, it is necessary to have reliable measurement data. Reliability of measurement data is naturally a crucial and important factor for a company to deliver the right quality to its customers. Without confidence in the measurement data, there is a potential risk that the customers end up with defective products if the measurement results are misinterpreted.

    This thesis project has been conducted at Volvo GTO in Skövde at the crankshaft manufacturing department. Volvo GTO wants to understand how well their manufacturing process of crankshaft performs by assigning a capability value. One of the requirements for obtaining a reliable capability value is that the measurement system is reliable. Volvo suspects that they do not have a reliable measuring system for measuring the roundness of bearing surfaces on a crankshaft.

    To clearly identify the problems of the measurement system, several possible causes of errors were identified and then analyzed deeper. These possible causes have attempted to be disproved and the errors which couldn’t be disproven may be a possible cause of error.

    The result of this thesis project shows that the company doesn’t meet the requirements to perform reliable measurements with such small tolerances. The main cause of the uncertainty in the measurement process is the external factors, such as the measuring environment. This report also includes recommendations on how the company can eliminate the measurement uncertainties to get a more reliable measurement process.

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