返回件分析工程师 Return Part Analysis (太仓)
地点:
Taicang, CN, 215400
职位需求ID:
28709
Schaeffler 是一家充满活力的全球性科技公司,其成功得益于企业家精神和悠久的家族企业历史。您觉得是否吸引到您?作为所有主要汽车制造商以及航空航天和工业领域重要企业的合作伙伴,我们可为您提供许多发展机会。
您的主要职责
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- Conduct Returned Parts Analysis (RPA) to identify failure root cause for returns part while meeting customer deadlines
- Liaise with experts from Metallurgy, Metrology and Tribology for advanced RPA investigations
- Work closely with Application Engineering, Product Development and Advanced Engineering teams on RPA related topics
- Write RPA reports and document in SAP
- Maintain Lessons Learned database for RPA findings
- Plan, Estimate and Schedule all assigned RPA requests and maintain the Electronic database
- Assess and Interpret data from Plant to create overall understanding of bearing failure trends and statistical overview
- Analyze warranty returned parts and supporting data from customers
- Develop new RPA techniques to enhance overall efficiency, customer satisfaction and development RPA capabilities
- Support benchmarking efforts through analysis of customer/competitor hybrid Systems
- Perform technical assessment of customer return parts during development stage & subsequent failure analysis. Provide recommendations for further development.
- Perform benchmarking activity of competitors product on technical basis & provide recommendation for improvement.
- Perform functional & dimensional measurement, quality parameter assessment, as well dismantling as per RPA & BM procedure.
- Coordination with other Lab (Physical & Chemical lab, testing Dept. External Lab). Perform root-cause analysis & technical report writing.
- Should be Liaison with Product Development & Application Engineers to support for new product development or improvement in existing designs.
您的任职资格
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- Bachelor's degree in engineering or equivalent knowledge
- Basic knowledge of automotive Powertrain and Chassis Applications, PEU RPA experience will be the preferred
- Good eye-hand coordination and hands-on ability
- Basic Knowledge of Materials, Metrology and Tribology to analyze bearing failures
- Advanced computer skills and knowledge of MS Office products
- Knowledge of measurement and digital data acquisition tools and techniques
- Ability to read technical drawings and interpret GD&T requirements
- Good planning and organization skills
- Good written and verbal communication skills
- Working knowledge of statistical analysis
- Ability to travel (10%)
我们期待您的应聘。
您的联系人
Schaeffler (China) Co., Ltd.
Junjie Tao
关键字: strongertogether; 经验丰富; 工程师; 全职; 固定期限; 研发;