Process Engineer

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  • Conduct detailed analysis and evaluation of existing manufacturing processes, identifying areas for improvement and recommending appropriate solutions.
  • Design and implement process optimization strategies to enhance efficiency, reduce cycle time and improve product quality.
  • Collaborate with engineering, production and quality assurance teams to develop and implement standard operating procedures (SOPs) and work instructions (PPAP).
  • Monitor and analysis process performance metrics, such as cycle time, yield and scrap rate and develop strategies to meet or exceed targets.
  • Identify and implement process control measures, including statistical process control (SPC) techniques, to ensure consistent quality and reduce process variation.
  • Provide technical support and troubleshooting expertise to resolve process-related issues and improve overall equipment effectiveness (OEE).
  • Lead process validation activities, including protocol development, execution and documentation, ensuring compliance with regulatory requirements.
  • Participate in cross-functional teams to drive root cause analysis, corrective actions and preventive measures.
  • Provide training and guidance to production teams on new processes, procedures and equipment to ensure successful implementation and operation.
  • Stay up-to-date with the latest advancements in process engineering technologies, methodologies and best practices.


Skills

Qualification

  • Bachelor’s degree in Engineering (mechanical or industrial).
  • Lean Six Sigma Certified.


Experience:

  • 5+ years of experience as a process engineer in a manufacturing   environment (Automotive feeding industry preferred).
  • process improvement tools and methodologies such as Kaizen, 5S, Value Stream Mapping and layout optimizing.
  • Proficient in process analysis, process modelling, process capability, statistical analysis and Capacity calculation.


Knowledge:

  • Strong knowledge of process optimization techniques, lean manufacturing principles, Six Sigma methodologies and statistical analysis.
  • Solid understanding of quality management systems, such as ISO standards 9001.
  • Risk assessment and compliance with regulatory standards.
Post date: Today
Publisher: Bayt
Post date: Today
Publisher: Bayt