Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic

Career Summary

Extruding and drawing machine setters, operators, and tenders are essential in manufacturing, shaping raw materials into usable products. This hands-on role is critical for producing everything from pipes to wires, requiring a blend of technical skill and attention to detail to ensure quality and efficiency.

AI Impact Score

Salary Data

Minimum

$28,000

Median

$40,000

Maximum

$55,000

Job Responsibilities

• Measure and examine extruded products to locate defects and check for conformance to specifications, adjusting controls as necessary. (AI can assist)
• Determine setup procedures and select machine dies and parts according to specifications.
• Start machines and set controls to regulate vacuum, air pressure, sizing rings, and temperature, and synchronize speed of extrusion. (AI can assist)
• Reel extruded products into rolls of specified lengths and weights.
• Install dies, machine screws, and sizing rings on machines that extrude thermoplastic or metal materials.
• Maintain machines to ensure they function properly.

Requirements

Education

High school diploma or equivalent is often required.

Experience

On-the-job training is common, with experience in manufacturing preferred.

In-Demand Skills

• Data Analysis Medium

  Analyzing production data to identify trends and improve efficiency.

• Machine Learning Medium

  Understanding how machine learning can optimize machine operation and predict maintenance needs.

• Critical Thinking High

  Applying logic to solve complex problems and make informed decisions.

• Technical Troubleshooting High

  Diagnosing and repairing machine malfunctions effectively.

• Adaptability Medium

  Adapting to new technologies and processes.

• Operations Monitoring High

  Watching gauges, dials, or other indicators to make sure a machine is working properly.

Job Market Demand

AI Integration

AI Co-Pilot Tasks

• AI monitors machine performance, alerting operators to potential issues before they cause downtime.
• AI optimizes machine settings in real-time to maximize throughput and minimize waste.
• AI provides step-by-step guidance for machine setup and maintenance procedures.
• AI analyzes product quality data to identify patterns and optimize production parameters.
• AI assists in predictive maintenance by analyzing sensor data to forecast potential equipment failures.

Automation Opportunities

• Automated defect detection using computer vision.
• Robotic arms for material handling and transfer.
• Automated machine calibration and tuning.
• Automated reporting on production metrics.

New Frontiers

• AI-driven process optimization specialist.
• AI-powered predictive maintenance technician.
• Robotics integration specialist for automated material handling.
• AI-enhanced quality control engineer.

Recommended Tools

• Microsoft Excel Data Analysis

  For data analysis and reporting.

• SAP ERP Software

  Enterprise resource planning software for managing production processes.

• MATLAB Simulation and Modeling

  Tool for modeling and simulating manufacturing processes.

• AI-powered Machine Vision Systems Quality Control

  Used for automated defect detection and quality control.

• Predictive Maintenance Software Maintenance

  Software that uses machine learning to predict equipment failures.

• SCADA Systems Process Control

  Supervisory control and data acquisition systems for monitoring and controlling industrial processes.

Risks & Considerations

• Job Displacement

  Automation could reduce the need for some manual tasks.

• Skill Obsolescence

  Traditional skills may become less relevant as technology advances.

• Increased Complexity

  Operating and maintaining AI-driven machines may require more specialized knowledge.

Career Outlook

The job outlook is relatively stable, with moderate growth expected in some sectors as manufacturing processes become more efficient through technology.