Industrial Engineering Manager _ EES

2 months ago

Seguin, United States Vitesco Technologies Full time

Key Responsibilities:

Process and Equipment Improvement:

Enhance serial life equipment and process quality. Reduce equipment and process downtime, scrap rates, and other waste factors. Use Big Data and analysis to identify performance issues early.

Efficiency Enhancement:

Apply statistical methods to increase process efficiency. Integrate operator activities with machines, materials, information, and energy on the shop floor.

Research and Testing:

Research and test design ideas for feasibility. Utilize Lean Manufacturing, Kaizen, Six Sigma, and root cause analysis to support innovation, corrective actions, and continuous improvement activities.

Documentation and Maintenance:

Create, update, and maintain manufacturing process documentation, including process flow charts, process parameter sheets, capacity and utilization studies, time and motion studies, standard work, cycle time analysis, and line balancing. Define efficient concepts and equipment, robust processes, and optimal quality based on customer demands. Meet SMT OEE targets for each line.

Collaboration and Improvement:

Work with Design Engineering and New Products on Change Management and Document Control. Collaborate with Vitesco Tech Nets on improvements and knowledge sharing. Partner with Production Management and Maintenance Groups to enhance new line performance. Review equipment and process performance across locations, considering scrap rate, OEE, MTBF, FPY, etc. Implement and transfer improvement measures to similar processes and VT standards. Update process parameter sheets for robustness in series. Enhance work instructions and conduct related training. Support launch projects in the industrialization of new, unknown, and challenging manufacturing processes. Drive DoEs to identify interactions between equipment, environment, operator, material, and design. Identify and improve non-robust equipment, processes, and designs for future applications.

Technology and Knowledge Management:

Maintain knowledge of state-of-the-art manufacturing technology for related areas. Continuously analyze technology fields and related areas for performance and quality improvements. Attend technical congresses, fairs, and supplier meetings for knowledge exchange and partnerships. Provide recommendations to management and team members to enhance product and process technology. Develop and coach the current IE team in structured problem-solving, statistics, and IE-related methods (, Six Sigma, DoE).

Statistical and Data Science Skills:

Utilize statistical methods and Data Science for data analysis and AI solutions. Use MES data for process control and improvement. Ensure process data reporting.

Requirements:

Proven ability to drive change and meet goals. 3-5 years of SMT process experience. 3-5 years of supervisory experience.

Working Time:  Full time 

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