Modern statistical process monitoring (SPM) applications focus on profile monitoring, i.e., the monitoring of process quality characteristics that can be modeled as profiles, also known as functional data. Despite the large interest in the profile monitoring literature, there is still a lack of software to facilitate its practical application. This article introduces the funcharts R package that implements recent developments on the SPM of multivariate functional quality characteristics, possibly adjusted by the influence of additional variables, referred to as covariates. The package also implements the real-time version of all control charting procedures to monitor profiles partially observed up to an intermediate domain point. The package is illustrated both through its built-in data generator and a real-case study on the SPM of Ro-Pax ship CO2 emissions during navigation, which is based on the ShipNavigation data provided in the Supplementary Material.
翻译:现代统计过程监测(SPM)应用的重点是剖面监测,即监测可模拟成剖面的流程质量特性,也称为功能数据。尽管对剖面监测文献的兴趣很大,但目前仍然缺乏便于其实际应用的软件。本条引入了可执行多变量功能质量特性SPM最新发展动态的funcharts R软件包,可能根据其他变量的影响加以调整,称为共变数。该软件包还实施了所有控制图绘制程序的实时版本,以监测部分观察到到中域点的剖面图。该软件包通过内置数据生成器和航行期间Ro-Pax船舶二氧化碳排放量SPM实际案例研究加以说明,后者以补充材料提供的船舶导航数据为基础。