MNM332 IE Engineer

We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.

Job Description

1. Production Process Optimization:
- Analyze existing production processes and propose improvement suggestions to enhance efficiency, error-proofing, and cost reduction.
- Use industrial engineering tools (such as time studies and motion studies) to conduct process analysis.
2. Equipment and Tool Management:
- Assist in evaluating the quantity of production equipment and tools to ensure they meet production requirements.
3. Production Line Layout and Design:
- Design and arrange production lines according to product requirements to ensure smooth production processes.
- Assist in creating production line layout diagrams and continuously improve them.
4. Data Collection and Analysis:
- Collect production data, perform statistical analysis, identify bottlenecks, and propose improvement solutions.
- Use data analysis tools (such as Excel, Minitab) for data processing and analysis.
5. Standard Operating Procedure Development:
- Assist in developing and updating Standard Operating Procedures (SOPs) to ensure standardized production processes.
- Train or guide production personnel to ensure they understand and comply with SOPs.
6. Cross-Departmental Collaboration:
- Collaborate with production, quality, R&D, and other departments to ensure smooth execution of production plans.
- Participate in New Product Introduction (NPI) processes and provide industrial engineering support.

Education

Work Experience

Language

Skills

Autodesk AutoCAD, Autonomation, Cognitive Engineering, Equipment Specification Development, Ergonomic Evaluations, Good Manufacturing Practices (GMP), Human Factor Engineering, Industrial Instrumentation, Industrial Software, Lean Manufacturing, Microsoft Excel Functions, Minitab, Plant Layout Study, Predetermined Motion Time Systems, Process Capability, Production Lines, Production Processes, Safety Instrumented System (SIS), Statistical Analysis, Statistical Process Control (SPC)