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Adecco Group

Production Process Supervisor

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  • Posted 20 hours ago
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Job Description

【Client Description】

A leading multinational consumer goods and personal care corporation.

【Candidate Profile】

  • Minimum of 3 years of relevant experience in process engineering or manufacturing environments.
  • Bachelor's or Master's degree in Mechanical Engineering, Chemical Engineering, Forestry, or related disciplines.
  • Intermediate English skills in listening, speaking, reading, and writing, with the ability to communicate in technical contexts.
  • Solid understanding of manufacturing production processes, process control, and optimization methodologies. Proficient in data analysis tools and process simulation software.
  • Strong analytical mindset with the ability to troubleshoot complex process and equipment-related issues in a fast-paced production environment.
  • Proven experience in leading or supporting process improvement initiatives, with the ability to manage projects effectively from planning through execution.

【Responsibilities】

  • Optimize and fine-tune production processes through direct interaction with machinery and equipment, improving efficiency, reducing waste, and stabilizing product quality.
  • Perform hands-on troubleshooting and equipment tuning by diagnosing mechanical, process, and operational issues on the production line, minimizing downtime and ensuring reliable performance.
  • Support installation, commissioning, and modification of machinery, working closely with maintenance and vendors to improve equipment capability and process reliability.
  • Develop and validate process conditions for new products and changes through on-site trials, machine adjustments, and close collaboration with R&D and production teams.
  • Utilize process data and real-time machine parameters to monitor performance, identify deviations, and implement corrective actions directly at the equipment level.
  • Drive continuous improvement initiatives (Lean / Six Sigma) by executing shopfloor enhancements, optimizing machine settings, and standardizing best practices across operations.

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About Company

Job ID: 149131407