Tesla System Engineering System

Systems Engineering in Tesla
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Systems Engineering in Tesla Executive Summary Systems engineering (SE) is an interdisciplinary field that focuses on the design synthesis and overall functionality of complex systems (Mo, 2005). This paper examines traditional systems used in the recent past to evaluate the dimensional accuracy of vehicle components as well as quantify errors in surface finishes. The systems engineering study is specifically tailored for Tesla Motors Corporation. The limitations of systems currently used by the Company to evaluate discrete data points in automotive body parts are detailed. This study also examines

In this regard, the manufactures identifies and characterizes errors within discrete parts of a welded of fabricated component of the system. This analysis often defined using hard measurement gauge fixtures. Discrete measurements reduce the cost of inspections (in terms of resources and time required to quantify errors) within discrete points selected on the target. Thus, discrete analysis is exploited in order to reduce the cost of production (Chugui et al., 2013). The problem with minimizing locations for discrete point measurements is that the potential problem or error may be overlooked. For instance, automotive components may still exhibit manufacturing flaws after

On the other hand, the estimates for stamping dimension’s standard deviation δpart vary from 0.1 to 0.25 mm. To verify the accuracy of part components, historical estimates of typical tolerances for component part variation can be compared with variations observed among samples. In effect, the accuracy of the vehicle component or parts would be verified. The accuracy of vehicle components can be determined by mapping it onto a non-contact measurement system and compared to the static repeatability of the component. The measurement error generated from accuracy mapping is quite negligible. The average δfixture_mapping is 0.005 and its 95th percentile = 0.013(Bosch, 2015). Tesla’s automotive body parts require ± /0.5 mm tolerance for accuracy. In addition, the requirement for component variation (by part) is <0.15. Thus, the effect of mapping variance under extreme conditions of dilution, would only account for about 7% of the measurement error and 1% of variance (δfixture-mapping^2 2/ δpart^