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Will help drive key business tools & initiatives including: Six Sigma/Lean, and design processes, standards and common software tools. Supervises the assembly of cost control and related statistical data.
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Six sigma green belt or black belt certificate; lead auditor certification, and chemistry experience. Apply Statistical Process Control (SPC) methods for analyzing data to evaluate the current process and process changes.
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Good understanding of statistical methods, Six Sigma methodologies, and problem-solving methodologies. Review, remediate, and approve CM SFMD supplier's process and inspection validations to client statistical requirements.
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Fluency in Six Sigma problem-solving method and tools including DOE, fishbone, FMEA, Control Charts and statistical analysis. 5-7+ years of experience in an industrial environment in manufacturing chemicals, batteries, cell, energy systems, Semiconductor, FPD, PCB, Solar or other electrochemical hardware systems.
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Participate and/or contribute to site Lean and Six Sigma improvement projects. Lead cross functional team for development of Advance Product Quality Planning (APQP) and Production Part Approval Process (PPAP) plans supported by Statistical Process Control (SPC) and related data analysis.
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Thorough knowledge of statistical techniques, DMAIC/six-sigma certification preferred. Maintain and follow TMC Quality System requirements; including but not limited to understanding of change control, validation, documentation practices, and design control requirements.
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Position Overview : Manages the development and implementation of program quality plans, programs, and procedures using statistical quality control statistics, Lean Manufacturing concepts, and Six-Sigma tools and analysis.
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Knowledge of quality management systems and tools, such as Six Sigma or Lean Manufacturing. Experience with statistical process control (SPC) techniques for quality monitoring and analysis.
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Lead and participate in process improvement projects, utilizing Lean Manufacturing and Six Sigma methodologies to identify and eliminate waste, improve productivity, and enhance product quality.
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Statistical methods training and experience are desired (8D Methodology, FMEA and Six Sigma, Lean Manufacturing) Design and install quality control process sampling systems, procedures and statistical techniques for claim management.
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Use Six Sigma Methodology (DMAIC or DMADV) and tools including Minitab, FMEA, Fishbone, Process Mapping, etc. know how to use Minitab or other statistical software. understanding of statistical techniques such as normality analysis, tolerance analysis, and should be able to analyze and interpret data with high confidence.
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You will also have a Lean Six Sigma certification (Black Belt preferred). Must possess a good working background of continuous improvement, with a Six Sigma certification (Black Belt preferred.
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Six Sigma Green Belt or Black Belt preferred. Experience with statistical software is required; experience with Minitab and/or JMP preferred. Six Sigma Green Belt or Black Belt preferred.
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Proficient in the use of quality tools and methodologies (e.g., statistical analysis, Six Sigma, FMEA). · Must have GD&T - Six Sigma, FMEA, nonconformance experience is a plus.
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Experience with statistical techniques (sampling and SPC), DOE, Six Sigma. Profile for reflow ovens and rework station using Super MOLE, SMT machines, PCBA inspection equipment such as Microscope, 3D X-ray machine, Multimeter.
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