Job Posting Title
Job Description Summary
Job Description:
• Recommends quality improvement parameters by identifying statistical methods relevant to manufacturing processes. • Researches statistical confidence by identifying sample size and acceptable error rate; determining levels of confidence. • Analyzes quality data from plant processes or customer indicators. • Provides feedback to customers based on quality projects (e.g., warranty, APQP, issues, etc.). • Leads quality investigations and problem solving. • Researches statistical reliability by using mean time before failure, Weibull 3-parameter distribution, reliability modeling, and reliability demonstration tests. • Develops quality improvement experiments by applying full and fractional factorial techniques. • Develops sampling plans by applying attribute, variable, and sequential sampling methods. • Maintains statistical process controls by applying demerit/unit, zone charting, X2 charts for distributions and individual-media/range for multi-stream processes. • Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests. • Prepares statistical information and reports by collecting, analyzing, and summarizing data and trends. • Contributes to quality engineering and organization success by welcoming related, different, and new requests; helping others accomplish job results. • All other duties as assigned.
Required Skills and Education
• Bachelors Degree in Mechanical Engineering. • 3-5+ years of Quality experience in an automotive manufacturing environment. • 1+ year of APQP and process audit experience. • Willingness and ability to travel 5-10% if needed.
About AAM: As a leading global Tier 1 Automotive and Mobility Supplier, AAM designs, engineers and manufactures Driveline and Metal Forming technologies to support electric, hybrid and internal combustion vehicles. Discover how we're Bringing the Future Faster at AAM.com.