Hybrid Process Optimization Engineer — Bekasi, Lean

Pt Michael Page Internasional Indonesia

Jakarta Pusat

Hybrid

IDR 240,000,000 - 360,000,000

Full time

14 days+
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Benefits offered by this job

Hybrid work arrangement
Health insurance
Professional development

Job summary

Pt Michael Page Internasional Indonesia is seeking a Process Optimization Engineer for a hybrid role based in Bekasi, West Java. You will analyze production lines, identify bottlenecks, and implement Lean and Six Sigma solutions to boost productivity and reduce costs.

Collaboration with operations, quality, and maintenance teams is essential to sustain improvements. The role requires at least 4 years in process optimization or industrial engineering, with strong knowledge of Lean, Kaizen, and

Qualifications

  • Bachelor's degree in Industrial Engineering, Chemical Engineering, or related field.
  • 4+ years in process optimization or industrial engineering roles.
  • Strong knowledge of lean principles, Kaizen, and Poka-Yoke.

Responsibilities

  • Analyze existing production lines to identify bottlenecks and inefficiencies.
  • Develop and implement optimization strategies using lean manufacturing and Six Sigma tools.
  • Lead pilot projects and monitor KPIs to drive continuous improvement.
  • Collaborate with operations, quality, and maintenance teams to sustain improvements.
  • Train production staff on new procedures and best practices.

Skills

Lean manufacturing
Six Sigma
Kaizen
Poka-Yoke
Process optimization

Education

Bachelor's degree in Industrial Engineering or Chemical Engineering

Tools

Statistical analysis software
Process mapping tools

Job description

Pt Michael Page Internasional Indonesia is seeking a Process Optimization Engineer for a hybrid role based in Bekasi, West Java. You will analyze production lines, identify bottlenecks, and implement Lean and Six Sigma solutions to boost productivity and reduce costs.

Collaboration with operations, quality, and maintenance teams is essential to sustain improvements. The role requires at least 4 years in process optimization or industrial engineering, with strong knowledge of Lean, Kaizen, and

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