Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

Career Summary

Rolling machine setters, operators, and tenders are essential in manufacturing, shaping metal and plastic into usable forms. This role offers a hands-on opportunity to work with industrial machinery and contribute to the production of various products used daily.

AI Impact Score

Salary Data

Minimum

$30,000

Median

$42,000

Maximum

$55,000

Job Responsibilities

• Monitor machine cycles and mill operation to detect jamming and ensure that products conform to specifications. (AI can assist)
• Adjust and correct machine set-ups to reduce thicknesses, reshape products, and eliminate product defects. (AI can assist)
• Start operation of rolling and milling machines to flatten, temper, form, and reduce sheet metal sections and to produce steel strips.
• Examine, inspect, and measure raw materials and finished products to verify conformance to specifications. (AI can assist)
• Read rolling orders, blueprints, and mill schedules to determine setup specifications, work sequences, product dimensions, and installation procedures. (AI can assist)
• Perform minor repairs and maintenance on rolling machines.
• Clean and lubricate rolling machines and related equipment.

Requirements

Education

High school diploma or equivalent

Experience

On-the-job training is commonly provided, but prior experience in manufacturing or machine operation can be beneficial.

In-Demand Skills

• Machine Operation High

  Operating rolling machines efficiently and safely is fundamental.

• Quality Control High

  Ensuring the quality of rolled products is essential to meet customer expectations.

• Troubleshooting Medium

  Identifying and resolving machine issues to minimize downtime.

• Data Analysis Medium

  Analyzing data from the rolling process to identify trends and improve efficiency.

• AI/Machine Learning Low

  Understanding the basics of AI and machine learning to leverage AI-powered tools.

• Problem-Solving High

  Addressing complex issues in the rolling process and finding effective solutions.

• Communication Medium

  Communicating effectively with team members and stakeholders.

Job Market Demand

AI Integration

AI Co-Pilot Tasks

• AI-powered systems analyze real-time data to optimize machine settings for maximum efficiency and minimal waste.
• Predictive maintenance alerts generated by AI help prevent machine breakdowns and reduce downtime.
• AI algorithms automatically adjust machine parameters to compensate for variations in raw materials, ensuring consistent product quality.
• AI-driven vision systems inspect finished products for defects, ensuring compliance with quality standards.
• Digital twins provide simulations to test new settings or processes without disrupting production.
• AI-generated reports flag inconsistencies in production metrics, improving quality control.
• AI-powered training modules offer personalized instruction based on individual skill gaps.

Automation Opportunities

• Automated material handling systems to load and unload rolling machines.
• Robotic arms to perform repetitive tasks such as feeding materials and removing finished products.
• Automated inspection systems to detect defects and ensure product quality.
• Automated calibration and adjustment of machine settings.
• Automated data collection and analysis for process optimization.
• Automated reporting on production metrics and key performance indicators.
• Automated scheduling and planning of production runs.

New Frontiers

• Developing and maintaining AI-powered quality control systems for rolling processes.
• Designing and implementing AI-driven predictive maintenance programs for rolling machines.
• Creating and optimizing AI algorithms for machine learning to enhance rolling processes.
• Utilizing AI to simulate and optimize rolling processes for new materials and products.
• Implementing AI-based robotic systems for material handling and machine tending in rolling operations.
• Integrating AI with CAD/CAM systems to streamline the design and manufacturing process for rolled products.
• Analyzing AI-generated data to identify and eliminate inefficiencies in the rolling process.

Recommended Tools

• Statistical Process Control (SPC) Software Analysis

  Analyzes data from the rolling process to identify trends and ensure quality.

• Predictive Maintenance Software Maintenance

  Uses machine learning to predict when maintenance is needed, reducing downtime.

• CAD/CAM Software Design

  Used for designing and programming rolling machine operations.

• Automated Inspection Systems Quality Control

  AI-powered systems that automatically detect defects in rolled products.

• Digital Twins Simulation

  Virtual replicas of rolling machines used to test and optimize processes.

• Programmable Logic Controllers (PLCs) Control

  Control the automated functions of rolling machines.

• Enterprise Resource Planning (ERP) Systems Management

  Manage production scheduling, inventory, and other aspects of the rolling process.

• Email Software Communication

  Used for communicating with team members and stakeholders.

Risks & Considerations

• Automation Replacing Tasks

  Automation may reduce the need for operators in some areas.

• Need for Continuous Learning

  Operators need to stay updated with new technologies and processes.

• Ergonomic Issues

  Repetitive tasks and heavy lifting can cause ergonomic issues.

• Economic Downturns

  Economic downturns can impact the demand for manufactured goods.

• Cybersecurity Threats

  Manufacturing systems are increasingly vulnerable to cybersecurity threats.

Career Outlook

The demand for rolling machine operators is expected to remain relatively stable as manufacturing processes continue to require skilled technicians. Automation may impact some tasks, but skilled operators will still be needed to oversee and maintain the machinery.