In 1924 Walter A. Shewhart introduced control charts (CC) to monitor and determine the behavior of processes. Afterwards, other statistical methods such as CUSUM, EWMA, and Tukey's CC have been developed to complement Shewhart's CC and analyze more scenarios. Each of the myriad of methods is originally intended for specific applications and are valid if some assumptions are met. However, those methods have been used in scenarios where assumptions might be questioned and, therefore, results might not be reliable. The objective of this paper is to present managers and decision makers with guidelines on how to best take advantage of CC's for continuous variables. A summary of different areas where CC's can be used and their corresponding applicable methods is provided. A discussion regarding suggestions, good/bad uses, and limitations on their applicability is also presented. Copyright, American Society for Engineering Management, 2011.