About the Role
Our client, a dynamic producer of specialized industrial components, is seeking an analytical Industrial Engineer to join their team in Benoni, Gauteng . This role is focused on in-depth analysis of operational performance and the utilization of simulation tools to model and optimize complex manufacturing processes. You will be responsible for identifying operational bottlenecks, evaluating potential improvements, and providing data-driven recommendations to enhance efficiency, throughput, and resource utilization. This is an on-site position requiring strong technical skills and the ability to translate complex data into actionable insights. The ideal candidate possesses excellent analytical capabilities, proficiency in simulation software, and a thorough understanding of manufacturing principles.
Key Responsibilities
- Analyze production data, process flows, and system performance to identify key areas for improvement.
- Develop discrete-event simulation models of manufacturing processes and systems.
- Utilize simulation software to test "what-if" scenarios and evaluate the impact of proposed changes.
- Conduct throughput analysis, bottleneck identification, and capacity planning studies.
- Develop performance metrics and dashboards to track operational efficiency and effectiveness.
- Collaborate with production and engineering teams to validate simulation models and implement recommended solutions.
- Prepare detailed reports and presentations summarizing findings, recommendations, and expected outcomes.
- Investigate and resolve operational issues by applying industrial engineering principles.
- Support the development of business cases for capital investments based on simulation results.
- Contribute to continuous improvement initiatives through data analysis and modeling.
Requirements
- Bachelor's degree in Industrial Engineering or a closely related quantitative field.
- Minimum of 5 years of experience in industrial engineering, with a strong focus on operations analysis and simulation modeling.
- Proficiency in discrete-event simulation software (e.g., Arena, AnyLogic, Simio).
- Strong understanding of manufacturing processes, production planning, and scheduling.
- Excellent analytical, statistical, and problem-solving skills.
- Experience with data analysis tools and techniques.
- Good communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Familiarity with Lean Manufacturing principles is beneficial.
- Must be able to work full-time on-site in Benoni, Gauteng .
- Detail-oriented with a commitment to accuracy.
Benefits
- Our client offers a competitive salary, a comprehensive benefits package including medical aid and a provident fund, and opportunities for professional development in a growing organization.
- Employees benefit from a supportive team environment, exposure to advanced analytical tools, and the chance to significantly influence operational improvements.
- We value employee growth and offer a stable career path.