Industrial Engineer - Production Optimization

Placements24

Benoni

On-site

ZAR 420,000 - 660,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Retirement benefits
Professional development
Growth opportunities

Job summary

Placements24 in Benoni, South Africa, is seeking an Industrial Engineer focused on Production Optimization to analyze and improve manufacturing operations. You will identify bottlenecks, design layouts, and implement data-driven solutions to boost efficiency and reduce waste.

The ideal candidate has a Bachelor's degree in Industrial Engineering, 3–5 years in manufacturing, and hands-on experience with Lean, Kaizen and process simulation. Strong analytical and teamwork skills are essential.

Qualifications

  • Bachelor's degree in Industrial Engineering or related field.
  • 3–5 years in an industrial engineering or manufacturing role, with a focus on production.
  • Knowledge of Lean Manufacturing principles and tools (e.g., 5S, Kaizen).
  • Experience with data analysis and process simulation software is a plus.
  • Strong problem-solving and analytical skills.
  • Good communication and teamwork abilities.

Responsibilities

  • Analyze production lines and workflows to identify inefficiencies, bottlenecks, and areas for improvement.
  • Develop and implement process improvement initiatives using lean manufacturing and Six Sigma principles.
  • Design and optimize production layouts, equipment utilization, and material flow to maximize efficiency.
  • Collect and analyze production data to monitor performance, identify trends, and support decision-making.
  • Collaborate with production staff and management to implement changes and ensure successful adoption.
  • Develop and maintain SOPs and training materials related to production processes.

Skills

Lean manufacturing
Six Sigma
Data analysis
Problem solving
Communication
Teamwork

Education

Bachelor's degree in Industrial Engineering

Tools

Process simulation software

Job description

About the Role

Our client is seeking a motivated Industrial Engineer focused on Production Optimization to join their facility in Benoni . This role is integral to improving the efficiency, productivity, and quality of their manufacturing operations. You will analyze production processes, identify areas for improvement, and implement data-driven solutions to enhance workflow and reduce waste. The successful candidate will be proactive, detail-oriented, and possess a strong understanding of manufacturing principles and optimization techniques. This is an excellent opportunity to contribute to the operational success of a key player in the region.

Key Responsibilities
  • Analyze production lines and workflows to identify inefficiencies, bottlenecks, and areas for improvement.
  • Develop and implement process improvement initiatives using lean manufacturing and Six Sigma principles.
  • Design and optimize production layouts, equipment utilization, and material flow to maximize efficiency.
  • Collect and analyze production data to monitor performance, identify trends, and support decision-making.
  • Collaborate with production staff and management to implement changes and ensure successful adoption.
  • Develop and maintain standard operating procedures (SOPs ) and training materials related to production processes.
Requirements
  • Bachelor's degree in Industrial Engineering or a related technical field.
  • 3-5 years of experience in an industrial engineering or manufacturing role, with a focus on production.
  • Knowledge of Lean Manufacturing principles and tools (e.g., 5S, Kaizen).
  • Experience with data analysis and process simulation software is a plus.
  • Strong problem-solving and analytical skills.
  • Good communication and teamwork abilities.
Benefits
  • Competitive salary and potential for performance bonuses.
  • Comprehensive health and retirement benefits.
  • Opportunities for professional development and skills enhancement.
  • A supportive work environment in Benoni , fostering growth.
  • Direct impact on optimizing key production processes.
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