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Follows all applicable standard work, process documentation and quality procedures such as Statistical Process Control (SPC), poka-yoke and visual standards. Participates actively in ways to improve quality, safety, process, material flow, and employee development.
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Quality/statistical/problem-solving training classes/seminars, Six Sigma, Shanin’s techniques, preferred. Experience in the automotive or manufacturing industry and PPAP, APQP, Control Plans, FMEA, MSA, GR&R, SPC, and Manufacturing Process Experience.
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Monitor and review SPC data for out-of-control conditions in support of the factory Statistical Process Control (SPC) initiatives. Knowledge of process control tools like Statistical Process Control (SPC), process capability, etc.
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Knowledge of SPC & Statistical Analysis and related software skills (Minitab or similar) Engages immediately in reaction to customer quality concerns, and escalates to Quality Manager and Manufacturing management.
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Performs quality inspections. Job MANUFACTURING Primary Location United States-South Carolina-North Charleston-US, SC, Ladson, Holset Palmetto Plant Job Type Shop Recruitment Job Type Shop Job Posting Apr 5, 2024, 4:08:13 PM Unposting Date Jul 4, 2024, 11:59:00 PM Organization Cummins Engine Components Role Category Onsite Relocation Package Eligible Req ID: 23000BQ0.
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Supervise and verify the accuracy of gage R&R studies, process capability, SPC, correlation and other data related statistical activities. ASNT or ASQ certification, Lean Manufacturing, FMEA, Process Control, SPC, CAD preferred.
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Comfort using statistical methods for making process development decisions (Statistical Process Control / SPC) using JMP, Minitab or equivalent. Experience authoring process, safety, and quality documentation for best-in-class practices.
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Experience with manufacturing processes, tooling, quality control methods, and statistical process control (SPC). Coordinate process change requests and Engineering Change Instruction (ECI) implementation related to quality assurance activities including preparing supporting documentation, change point tracking, communications, sample part reviews, and scheduling trial parts.
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First-hand knowledge of Sanitation Standard Operation Procedures (SSOP), Good Manufacturing Practice (GMP), Statistical Process Control (SPC), and related food safety standards. Master of Science Degree in Food Science, Biology, Chemistry, or another related field preferred, a bachelor’s degree in food science, food chemistry, biology, engineering, chemistry or microbiology required; a combination of education and experience will be considered, provided that the candidate has demonstrated proficiency in food processing technology and food quality and regulations, standards and policies.
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Applies statistical process control (SPC) methods for analyzing data to evaluate the current process and process changes. The Quality Engineer is responsible for assuring quality in all phases of the fabrication/manufacturing process and ensuring continuous production of products consistent with established standards.
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First-hand knowledge of Statistical Process Control (SPC) practices. Preferred: 5-10 years' experience as a Quality Engineering Manager in the blow molding or packaging industry. Required: Minimum 2-year degree in Quality, Statistics, Engineering, Management or related field and applicable ASQ certifications.
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Assist in the evaluation Product Performance Data and Internal Metrics for stability and continuous improvements, utilizing Six Sigma practices where appropriate, including SPC (statistical process control.
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Knowledge of quality management systems (QMS), statistical process control (SPC), and quality assurance principles. Ensure compliance with relevant quality standards, regulations, and safety protocols, including ISO, FDA, OSHA, and cGMP requirements.
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Demonstrate knowledge of Statistical Process Control (SPC) and statistical quality analysis methods. The Quality Engineer is responsible for analyzing quality output using appropriate statistical methods and data analysis to help drive improvements to reduce process variation and the cost of quality.
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Provides leadership in the development and implementation of inspection plans that utilize Coordinate Measuring Machines (CMMs), Standard Measuring Inspection (SMI) equipment, quality tool and gage processes, sample inspection, NDT, special process certification controls, and Statistical Process Control (SPC) techniques.
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