Category
page 1Statistical process control
design of experiments
scientific craft
statistical process control
method for achieving quality control in manufacturing processes
process control
automation systems using control theory and physical industrial control systems to maintain the output of a specific process within a desired range
factorial experiment
experiment whose design consists of two or more factors, each with discrete possible values, and whose experimental units take on all possible combinations of these levels across all such factors
tolerance analysis
analysis of accumulated variation in mechanical parts and assemblies
response surface methodology
sequential experimentation for improvement and for finding an optimal response
acceptance quality limit
worst tolerable process average in percentage or ratio that is still considered acceptable
Defects per million opportunities
term business economics