Conduct exploratory studies and analysis to identify assembly processes to meet product requirements, identify critical process parameters and quality attributes, and conduct experiments using Design of Experiments (DOE) methods to determine sensitivity and acceptable process windows
Develop cause and effect analysis, Process Failure Mode and Effects Analysis (PFMEA) and control plans
Troubleshoot and identify corrective measure to scrap and yield related fallout. These problems could range in root cause including but not limited to mechanical, electrical, thermal, detection, and material issues
Conduct Install/qualification of tools including Measurement Systems Analysis (MSA), Gauge Repeatability and Reproducibility (GR&R), Process Stability and Capability (CP/CPK), and equipment/process matching
Support execution of statistical process controls (SPC) and create standard operation and maintenance procedures to support the transition to sustainable production
Execute data driven root cause analysis as part of reject validation and excursion investigations, drive continuous improvement & optimization activities to meet production targets including availability, quality, and performance
Anfrage
Bachelor's Degree in Industrial Engineering, Mechanical Engineering, Operations Research, Engineering Management or other Engineering Degree program, evidence of exceptional ability, or equivalent
Minimum of 5 years experience in a high-volume manufacturing environment with Printed Circuit Board Assembly (PCBA), highly preferred
Experience developing and taking new manufacturing processes and equipment from the prototype stage through high volume production
Strong working knowledge of Statistical Analysis, Design of Experiments (DOE), Gauge Repeatability and Reproducibility (GR&R), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC) and other Six Sigma Tools
Experience with data mining and data visualization tools (SQL, Python, R, Tableau, PowerBI) Clear understanding of manufacturing production metrics, field data, and quality and reliability data
Hands-on skills with diagnostics software, hardware, tools, instruments, general electromechanical systems and measurement techniques, and multimeters
Ability to facilitate cross-functional teams to plan and execute continuous improvement projects; and communicate effectively with direct team and peers within a manufacturing and engineering organization. This includes exemplary verbal and written communication skills
Refer code: 1191463. Tesla - Der vorherige Tag - 2024-02-11 10:26
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