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Understanding of statistical process control (SPC), statistical quality control (SQC), and design of experiments (DOE). Working knowledge of injection molding presses, support equipment, thermoplastics, rotational molding, compression molding, thermoset molding, thermoforming, and web molding.
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1+ years of experience in advanced data analysis (using JMP, GAJT and/or SQL), statistical process control (SPC), and design of experiment (DOE) principles. Develops solutions and solves problems utilizing formal education, experience, statistical analysis, and problem-solving methodologies / tools.
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Provide technical advice in specialized quality assurance technology such as nondestructive testing [NDT], metrology, statistical techniques (e.g. Statistical Process Control [SPC], etc.
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Own yield improvement actions and process change decisions based on statistical process control (SPC) data analysis. Use data to drive process decisions, basic data analysis, DOEs, SPC, etc.
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Surface Finishing - Develop new processes in the area of blasting, tumbling, polishing, wet sanding, lapping, anodizing, and PVD. Ensure that quality and yield requirements are met. Glass Processing - Develop all processes for glass scribe/break, grinding, lapping, polishing, chemical strengthening, decoration and functional coatings (with inks, and other thin film deposition techniques etc.
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Job Description As a Silicon Photonics (Si P) Process Integration Engineer, you will be part of Intel's Si P Process Development and Manufacturing (SPDM) team that is leading Intel's market transition and driving innovation for the next generation of optical interconnect products.
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As a Silicon Photonics (SiP) Process Integration Engineer, you will be part of Intel's SiP Process Development and Manufacturing (SPDM) team that is leading Intel's market transition and driving innovation for the next generation of optical interconnect products.
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Understanding of basic quality core tools such as Control Plans, APQP (Advanced Product Quality Planning), SPC (Statistical Process Control), PPAP (Production Part Approval Process), FMEA (Failure Mode Effects Analysis) and MSA (Measurement Systems Analysis.
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Continuous Improvement: Lead initiatives to identify and implement process improvements, leveraging tools such as lean manufacturing, Six Sigma, and statistical process control (SPC) methodologies.
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Prior experience with MS office tools (ppt, excel, project), statistical tools (JMP, Minitab etc. Working knowledge of Statistics Process Control (SPC), Design of Experiments (DOE), Failure Mode Effect Analysis (FMEA), Root Cause-Corrective Action (RCCA), 8D & 5-Whys Problem solving.
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Experience implementing Lean Manufacturing and Six Sigma methodologies including statistical analysis techniques (Design of Experiments, Statistical Process Control (SPC), etc) preferred.
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Strong statistical skills include but not limited to statistical process control (SPC), capability analysis, linear regressions, categorical data analysis and design of experiment (DOE.
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Proactively identifies problems before they develop utilizing SPC (Statistical Process Control) tools or other tracking/trending analysis skills as necessary. Minimum EducationBachelor degree preferably in Food Science, Animal Science, Poultry Science, Operations Management, Biology or Chemistry.
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Understanding and knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE). Analog Devices Federal LLC is looking for an experienced Development Process Engineer responsible for developing processes in the manufacture of complex microwave and millimeter wave electronics.
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Ability to analyze problems, develop and propose engineering solutions in a scientific manner using data-driven techniques and analyses (e.g., Data Analytics, Root Cause Analysis (RCA), Statistical Process Control (SPC), Six Sigma, Predictive Maintenance, etc.
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