Instead, they occur due to external circumstances or factors. These are errors that aren't natural parts of the process. Special cause variations are what most people imagine when they think about a variation in production. For example, in a soda manufacturing company, there are bound to be some bottles that don't have the standard amount of soda. Their presence doesn't negate the stability or quality of a production process because the project team expects them to occur. Common cause variations are errors that are innate to a process. Generally, the two types of variations are: Common cause variationĮvery artificial process is bound to have errors. Project Coordinator: What Makes Them Different? Types of SPC variations If the analysis results show too many variations beyond the predetermined limits, the company knows there's an issue with its production. Then, the company can select a maximum and minimum limit which the shoes' weights can't go beyond. After collecting the data on the weight of various shoes, they can use an SPC tool to visualize the results. It may decide to check each shoe's weight to ensure it's durable. SPC reduces variations by identifying errors that cause those variations so that the project manager can resolve them.įor example, a shoe manufacturing plant may apply SPC to improve the quality of its shoes. Generally, the purpose of SPC is to standardize a process by reducing the likelihood of variations. Still, it can apply to other processes like recruitment and customer management. Professionals usually use SPC to manage manufacturing activities. It involves analyzing and presenting numerical data to establish patterns, identify issues, and measure the performance of a specific production structure. Statistical process control (SPC) is a product management technique that involves using statistics to manage a process. In this article, we discuss what SPC is, outline the types of SPC variations, highlight its importance, and list some of its essential tools. ![]() Understanding statistical process control (SPC) can help you decide how to apply it during project management. Statistics is one of the skills project managers apply to analyze variables and make productive decisions. Project managers and supervisors use various techniques to improve the quality of their output.
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