Burn
Assembly Line Engineer
Ruiru
• Kenya
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Assembly Line Engineer
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Customer Experience Manager - Inbound
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Burn, Mount Kenya University (MKU), MSVL Group, Mwananchi Credit Limited, The Pan African University (PAUSTI)Profession (Mid-level)
Accounting, finance, banking, insurance,Administrative, clerical,Business, strategic management,Customer support, client care,Electrical engineering,Engineering, architecture,Food, nutrition,Information technology, software development, data,Manufacturing, operations, quality,Media, communications, languages,Research, academy,Sales, marketing, promotion,Skilled, manual labor,Teaching, training,
Industry (Mid-level)
Seniority
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Burn
Energy + 2 more
Description
Skills and Experience
- Industrial Engineering / Manufacturing Engineering knowledge
- Line balancing techniques
- Time and motion studies
- Lean manufacturing (Kaizen, 5S, Six Sigma)
- Production planning & capacity analysis
- Degree in Industrial Engineering, Mechanical Engineering, or Manufacturing Engineering
- 3–5+ years’ experience in production or assembly line optimization
- Experience in high-volume manufacturing environments
- Strong analytical and problem-solving skills
- Qualified Female Candidates encouraged to Apply
Responsibilities
Line Balancing
- Analyze tasks required for product assembly.
- Distribute tasks across workstations so that each station's workload aligns with the production cycle time.
- Continuously adjust task allocation as production conditions change.
- Workflow Optimization
- Identify and eliminate bottlenecks in the production line.
- Reduce idle time and unnecessary waiting between stations.
- Improve overall line efficiency and throughput.
Production Monitoring
- Track performance metrics such as:
- Cycle time
- Takt time
- Workstation utilization
- Throughput rate
- Ensure the line consistently meets production demand targets.
Process Improvement
- Conduct time studies and motion studies.
- Apply Lean Manufacturing principles to reduce waste.
- Implement improvements such as workstation redesign, task reallocation, or automation.
Data Analysis & Reporting
- Analyze production data to identify inefficiencies.
- Provide reports on line performance.
- Recommend changes to improve productivity and cost efficiency.
Cross-Functional Collaboration
- Work closely with:
- Production supervisors
- Maintenance teams
- Quality engineers
- NPI / Industrial engineers
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