ActioNet, Inc. is looking for a Quality Engineer to provide statistical information for quality improvement through various testing methods and analyses. In this role, you will determine quality improvement parameters and establish statistical confidence and reliability in manufacturing processes.
What You'll Do
- Determine quality improvement parameters by identifying statistical methods relevant to manufacturing processes.
- Establish statistical confidence by identifying sample size and acceptable error; determining levels of confidence.
- Establish statistical reliability by using mean time before failure, weibull 3-parameter distribution, reliability modeling, and reliability demonstration tests.
- Develop experiments by applying full and fractional factorial techniques.
- Develop sampling plans by applying attribute, variable, and sequential sampling methods.
- Maintain statistical process controls by applying demerit/unit, zone charting, x2 charts for distributions and individual-medial/range for multistream processes.
- Analyze data by completing hypothesis, normal distribution, and process capability analysis tests.
- Prepare reports by collecting, analyzing, and summarizing data; making recommendations.
- Maintain 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.
- Contribute to team effort by accomplishing related results as needed.
What We're Looking For
- 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
