Design of Experiments (DOE) helps improve products and processes more efficiently, providing a comprehensive understanding of influences on the end result.
Process mapping is a method to visualize and understand manufacturing processes, similar to a flowchart. It helps identify inefficiencies and delays in the workflow. For example, it can pinpoint the source of delays in an assembly line.
Globalization and digitalization have intensified competition in manufacturing. Some companies are using Bayesian hypothesis testing to optimize processes and make informed decisions. For example, a production manager could use it to improve the engine-cylinder-head-machining process.
Reliability analysis helps manufacturers predict and prevent product failures, improving overall quality and performance through systematic assessment and data-driven improvements.
DOE is a method that helps manufacturers improve processes by understanding the relationship between factors and the output. It involves defining the problem, selecting the right design, conducting the experiment, analyzing the results, and implementing changes.
Regression analysis helps quality teams improve their process standards. In simple terms, it helps these teams understand how variations in the manufacturing process affect the quality of the final product.
Every organization can benefit from continuous improvement. In this blog, we’ll highlight 3 simple Lean tools for process improvement, why they’re important and how Minitab Engage can help you successfully leverage these tools across your organization. Let’s get started!