Applications of Six Sigma for an Aerospace Manufacturer
As every aerospace manufacturer struggles to control quality and costs, Six Sigma has become one of the most reliable processes used to achieve these goals. By statistically modeling manufacturing processes, Six Sigma professionals can identify where defects occur so that managers can develop target plans to improve these failure points. The final goal is to control your process to achieve zero defects. And, when combined with Lean process flow, the advantages for an aerospace manufacturer can be exceptional.
The key to successful Six Sigma use for an aerospace manufacturer is having both appropriate data and the personnel to use it. Quality control tools are essential in this process, as the statistical measures used in Six Sigma rely on accurate measurements. This is especially true in aerospace manufacturing where high-mix, low-volume order custom machining may make it difficult to create a significant sample, and quality standards can be stringent. Look for an aerospace manufacturer experienced at using statistical process controls (SPC), as they are more likely to develop a reliable sample and achieve greater results from their Six Sigma initiatives.
At Intrex Aerospace, we utilize Six Sigma extensively in our operations to ensure we maintain the highest quality standards. In the past two years, we’ve had company-wide training in a variety of Six Sigma exercises, including 5S, Demand Flow, Yellow Belt, 5S and Lean, which we’ve used to improve our company processes. Thanks to our exceptional quality control and quality assurance programs, we’ve been able to maintain a PPM well below the industry average for an aerospace manufacturer. In addition to providing uniform milled and turned parts with the critical dimensions our clients demand, we’re highly experienced with demand management with an on-time delivery rate between 95-100 percent.
To find out more about the advantages of making us your contract aerospace manufacturer, contact Intrex Aerospace today.