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Six sigma, fixture design, Process improvement, documentation, Solidworks, Continuous improvement, Tooling. Six Sigma Green or Black Belt preferred. Experience in Lean Manufacturing, Continuous Improvement, Statistical Process Control.
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Green belt, black belt or other Six-Sigma LEAN certification highly desired. Knowledge of JMP, Minitab or other statistical analysis software. Knowledge of JMP, Minitab or other statistical analysis software.
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Experience using data analysis to drive improvements through the application of Lean and/or Six Sigma tools and concepts; Lean Six Sigma Black Belt certification or above. Facilitator expert in TPM, VSM, PULL Systems, Theory of Constraints, Hoshin Kanri and other Lean, Six Sigma, or Agile methodologies identified to enhance Engagement, Business Agility, and Empowerment at all levels within the region.
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Knowledge of/experience with manufacturing analysis tools, such as statistical analysis/statistical process control (SPC), process capability studies, lean manufacturing, 5S, Six Sigma, Kepner-Tregoe, and/or Design of Experiments (DOE.
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SharePoint, Power BI, and Statistical tools proficiency are a plus (e.g. JMP or Minitab) SharePoint, Power BI, and Statistical tools proficiency are a plus (e.g. JMP or Minitab) Helps drive strategy alignment through the application of the Operational Excellence Assessment (OEA) to evaluate maturity level against internal and enterprise-wide performance standards and partner with local leadership to develop an improvement roadmap to advance maturity.
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Statistical knowledge and practice (e.g. Design of Experiments (DOE), Sampling Plans, Statistical process control, PPU, and/or Lean Six Sigma). Statistical knowledge and practice (e.g. Design of Experiments (DOE), Sampling Plans, Statistical process control, PPU, and/or Lean Six Sigma.
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With Diversity, Equity, and Inclusion (DE&I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.
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Six Sigma Green belt level knowledge with working knowledge of tools like process capability - Gage R - R. Ability to apply mathematical operations to such tasks as statistical and financial math calculations, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
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Solid understanding on quality tools such as statistical process control, Six Sigma, Lean, process improvements, yield improvements, root cause analysis, FAI (first article inspection), CpK (statistical process capability.
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Knowledge of quality management techniques (Lean, Six Sigma) and statistical techniques required to measure and confirm significant changes. LEAN/Six Sigma Certification - Desirable.
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Application of statistical techniques to analyze data, make acceptance decisions, and improve process capability (Six Sigma, SPC, DOE). Our benefits are cutting edge as we offer student loan repayment assistance, lucrative 401k program, company assisted stock purchase plan, tuition reimbursement, wellness program, onsite workout facilities & classes along with competitive salary and incentive compensation, generous paid time off programs and a full array of medical, dental and vision options.
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Six Sigma Black Belt certification a definite plus. Proficient with Statistical & Reliability packages such as Minitab, Weibull Smith, Reliasoft etc. Determining Quality improvement parameters by identifying statistical methods relevant to design processes.
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Supporting scale-up of manufacturing at internal and external manufacturing sites for new product development, key member of new product development team to ensure continuity of product support post-launch.
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Apply modern engineering science (such as lean manufacturing concepts, six-sigma methodology, and statistical process analysis) theories to continuously improve efficiency of manufacturing processes.
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Recognized process improvement training (Lean, Six Sigma) preferred. SPC (Statistical Process Control) knowledge. Applies statistical methods to estimate future manufacturing requirements and potential.
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