Quality Manger/Sr. Quality Engineer

PREFERRED: Certified Black Belt, Lean System Background

 

 

Job Purpose:

Provides statistical information for quality improvement by identifying testing methods and samples.



Duties:

* Enhances staff accomplishments and competence by planning delivery of solutions; answering technical and procedural questions for less experienced team members; teaching improved processes; mentoring team members.



* 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.



Skills/Qualifications:

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