Job Description

• 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