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Job Description
- Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes.
- Establishes statistical confidence by identifying sample size and acceptable error; determining levels of confidence.
- Establishes statistical reliability by using mean time before failure, weibull 3-parameter distribution, reliability modeling, and reliability demonstration tests.
- Develops 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-medial/range for multistream processes.
- Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests.
- Prepares reports by collecting, analyzing, and summarizing data; making recommendations.
- Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies; maintaining american society of quality control certified quality engineer qualification.
- Contributes to team effort by accomplishing related results as needed.
Job Requirements
- Analyzing Information , Reporting Research Results, Technical Understanding, Promoting Process Improvement, Developing Standards, Managing Processes, Manufacturing Methods and Procedures, Supports Innovation, CAD, Quality Engineering, Operations Research
