Understand process capabilities through critical data analysis and in depth understanding of the product
Develop and modify line layouts, including material flow, MES system proficiency (specs, flow, data reporting), waste reduction, and ergonomics, utilizing Lean Manufacturing best practices
Participate in the transition of a product from concept to pilot line production and into mass manufacturing
Analyze and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) in cost effective means while driving to achieve world-class quality levels.
Responsible for diagnosing issues found during the part manufacturing process and drive corrective action back to source, resulting in root cause identification and elimination. Utilize structured problem-solving techniques such as DMAIC, Ishikawa, Five Why (5W) and Eight Disciplines (8D).
Enable data driven operational and financial decisionsthrough predictive insights into tool and process performance, includingintegration of factory data systems and use of software such as MySQL, JMP,Minitab, Tableau and Ignition, as well as working knowledge of at least oneprogramming language like Python, Jython, R, SQL
Monitorand reduce process variation using techniques such as Statistical ProcessControl (SPC) and Measurement Systems Analysis (MSA). Monitor and auditmanufacturing processes to ensure product specifications and standards areachieved. Participate in the development and maintenance of FMEAs andControl Plans. Analyze, develop, process, and implement EngineeringChange Orders.
Createand maintain Manufacturing Instructions, routings, and associatedprocesses. Develop and train sustaining technicians, assist in thetraining of operators as needed. Manage activities for process sustainingtechnicians to support day to day coverage of production line, includingdeveloping and documenting appropriate rework procedures.
Support24 by 7 production operations
What You’ll Bring
BS Degree in process/chemical engineering, manufacturing/industrial engineering, computer/electrical engineering, mathematics, physical science, (STEM) or related
Experience developing and improving process. Have a demonstrated track record of Overall Equipment Effectiveness improvement activities
Data collection and analysis experience
Ability to develop data driven root cause analyses and solutions. Demonstrate use of statistical analysis for decision making (DOE, linear regressions, hypothesis testing, capability studies
Strong problem-solving skills and an aptitude for learning systems quickly. Able to utilize structured problem-solving techniques such as DMAIC, Ishikawa, Five Why (5W) or Eight Disciplines (8D)
Able to resolve high level performance issues into addressable actions
Passion for making fantastic new products and using testing as a means to enable an engineering organization to achieve outstanding quality, reliability and excellence.