Industrial Engineer: Production Process Optimizer (Lean)

Placements24

Vereeniging

On-site

ZAR 480,000 - 600,000

Full time

34 hours ago
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Benefits offered by this job

Competitive salary
Health insurance
Professional development

Job summary

Placements24 is seeking a Manufacturing Industrial Engineer in Vereeniging to optimize production processes and boost operational efficiency. You will work with production teams, management, and quality control to identify challenges and implement engineering solutions.

The role emphasizes Lean methods, standardization, and data-driven improvements to reduce waste and improve quality across the manufacturing floor.

Qualifications

  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field.
  • Minimum 3 years in manufacturing, focusing on industrial or process engineering.
  • Strong knowledge of Lean Manufacturing concepts and tools.
  • Excellent problem-solving and analytical abilities.

Responsibilities

  • Analyze manufacturing processes to identify bottlenecks and opportunities for improvement.
  • Design, implement, and monitor production systems, layouts, and workflows.
  • Apply Lean tools such as 5S, Kaizen, and Value Stream Mapping to eliminate waste.
  • Develop and maintain SOPs and work instructions for manufacturing processes.
  • Collaborate with production supervisors to troubleshoot issues and implement corrective actions.
  • Track KPIs related to production output, quality, and efficiency and report findings.

Skills

Lean Manufacturing concepts
CAD software
Problem-solving
Communication skills

Education

Bachelor's degree in Industrial Engineering / Manufacturing Engineering

Tools

CAD software

Job description

Placements24 is seeking a Manufacturing Industrial Engineer in Vereeniging to optimize production processes and boost operational efficiency. You will work with production teams, management, and quality control to identify challenges and implement engineering solutions.

The role emphasizes Lean methods, standardization, and data-driven improvements to reduce waste and improve quality across the manufacturing floor.

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