Python for Industrial Engineers
Process Capability Analysis with Python
Measuring Process Performance
Process Capability Analysis
Process capability analysis represents a significant component of the Measure phase from the DMAIC (Define, Measure, Analysis, Improve, Control) cycle during a Six Sigma project. This analysis measures how a process performance fits the customer’s requirements, which are translated into specification limits for the interesting characteristics of the product to be manufactured or produced. The results from this analysis may help industrial engineers identify variation within a process and develop further action plans that lead to better yield, lower variation, and fewer defects.
Specifications
Specifications are the voice of the customer. Every process should be capable of fulfilling the customer’s requirements, which must be quantified to be attainable. Specification limits are the numerical expressions of the customer requirements. Due to natural variations within the process, specifications usually are a range with upper and lower bounds. USL (Upper Specification Limit) is a value above which the process performance is unacceptable, while LSL (Lower Specification Limit) is a value below which the process performance is…
