High process complexity becomes an important issue due to the increased number of product variants demanded by customers. The coordinate measurement is one of the key technologies used in the dimensional control to inspect and improve the accuracy of produced components. Dimensional inspection is often carried out on conventional coordinate measuring machine (CMM). However, there are concerns about low capacity, speed, and limited accessibility to the underbody and inner body zones. For complex body geometry problems, process engineers may need to analyze the component interactions with color-mapping, on the other hand, point based analysis in CMM requires excessive time loss. To overcome these challenges, automotive companies are tending to adapt laser scanning technologies. The aim of this study is to make the assessment of the measurement capability for Hexagon Leica laser scanning system (LSS) and evaluate the possibility of replacement with actual CMM in Body in White (BIW) measurements. The LSS implementation would be the first stage of the long-term measurement strategy towards inline geometry management with vertical integration of supplier data. The capability assessments for LSS and CMM were performed by two globally recognized references as uncertainty and measurement system analysis (MSA). The results demonstrated that the uncertainty and Gauge Repeatability & Reproducibility ($G_{\mathit{RR}}$) of LSS are very satisfactory for BIW measurements. Furthermore, the measurement capacity was increased to 8 body/shift from 4 body/shift in CMM. The speed in diagnostic analysis was significantly improved by color-mapped reporting. Finally, measurement accessibility level reached to 96% from 77% in CMM.

由于客户要求增加产品种类的数量，因此高工艺复杂性成为一个重要问题。坐标测量是尺寸控制中用来检查和提高生产零件精度的关键技术之一。尺寸检查通常在常规坐标测量机（CMM）上进行。然而，存在对低容量，低速度以及对车身底部和内部车身区域的有限可达性的担忧。对于复杂的几何体几何问题，过程工程师可能需要使用颜色映射来分析零部件的相互作用，另一方面，CMM中基于点的分析需要大量的时间损失。为了克服这些挑战，汽车公司倾向于采用激光扫描技术。这项研究的目的是评估Hexagon Leica激光扫描系统（LSS）的测量能力，并评估在白车身（BIW）测量中用实际CMM替代的可能性。LSS的实施将是长期测量策略的第一步，该策略是通过对供应商数据进行垂直整合来实现在线几何管理。LSS和CMM的能力评估由两个全球公认的不确定性和测量系统分析（MSA）参考进行。结果表明，不确定度和量规的可重复性和再现性（LSS的实施将是长期测量策略的第一步，该策略是通过对供应商数据进行垂直整合来实现在线几何管理。LSS和CMM的能力评估由两个全球公认的不确定性和测量系统分析（MSA）参考进行。结果表明，不确定度和量规的可重复性和再现性（LSS的实施将是长期测量策略的第一步，该策略是通过对供应商数据进行垂直整合来实现在线几何管理。LSS和CMM的能力评估由两个全球公认的不确定性和测量系统分析（MSA）参考进行。结果表明，不确定度和量规的可重复性和再现性（$G_{\mathit{RR}}$LSS）对于BIW测量非常令人满意。此外，测量能力从CMM中的4个身体/班次增加到8个身体/班次。通过颜色映射报告显着提高了诊断分析的速度。最终，测量可访问性水平从CMM中的77％达到了96％。