Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic

Examine completed workpieces for defects, such as chipped edges or marred surfaces and sort defective pieces according to types of flaws.

AI: Fully automatable - Examining workpieces for defects and sorting flaw types is well within modern machine-vision and AI capabilities and is widely deployed in industry.

Measure completed workpieces to verify conformance to specifications, using micrometers, gauges, calipers, templates, or rulers.

AI: Fully automatable - Measuring parts to verify conformance can be fully automated using coordinate-measuring machines, vision metrology, and instrumented robotic systems.

Start machines, monitor their operations, and record operational data.

AI: Fully automatable - Starting machines, monitoring operations, and recording data are routine supervisory tasks readily automated with control systems, sensors, and software.

Read work orders or production schedules to determine specifications, such as materials to be used, locations of cutting lines, or dimensions and tolerances.

AI: Fully automatable - AI systems can reliably parse digital work orders and production schedules and extract specifications (materials, cutting lines, dimensions/tolerances).

Mark identifying data on workpieces.

AI: Fully automatable - Marking identifying data (inkjet/laser/engraving) is routinely automated and fully controlled by AI/CNC systems in production environments.

Turn controls to set cutting speeds, feed rates, or table angles for specified operations.

AI: Fully automatable - Setting cutting speeds, feed rates, and table angles can be done digitally via CNC interfaces or by simple robotic actuators controlled by software, enabling full automation.

Scribe reference lines on workpieces as guides for cutting operations, according to blueprints, templates, sample parts, or specifications.

AI: Fully automatable - Vision-guided robots and CNC-derived marking systems can scribe reference lines from blueprints or CAD data, allowing full automation in most production contexts.

Plan sequences of operations, applying knowledge of physical properties of workpiece materials.

AI: Fully automatable - AI and optimization tools can plan sequences of operations using material properties and process constraints and can fully generate viable operation plans in many manufacturing contexts.

Turn valves to start flow of coolant against cutting areas or to start airflow that blows cuttings away from kerfs.

AI: Fully automatable - Coolant and airflow are typically controlled electronically or by simple actuators and are easily integrated into automated control systems, making this fully automatable.

Operate forklifts to deliver materials.

AI: Fully automatable - Autonomous forklifts and AGVs already perform material delivery in many facilities, so AI can fully operate forklifts in typical structured industrial environments.

Lubricate workpieces with oil.

AI: Fully automatable - Robots and programmed dispensing systems can reliably apply oil to workpieces in industrial settings, so this is fully automatable.

Preheat workpieces, using heating furnaces or hand torches.

AI: Fully automatable - Preheating is readily automatable using furnaces, induction heaters, and programmed robot torch systems, so AI-driven automation can fully handle this in manufacturing contexts.

Set stops on machine beds, change dies, and adjust components, such as rams or power presses, when making multiple or successive passes.

AI: Partial - Setting stops, changing dies, and adjusting mechanical components can be automated in advanced presses but many real-world setups still require manual fixturing and human adjustments.

Set up, operate, or tend machines to saw, cut, shear, slit, punch, crimp, notch, bend, or straighten metal or plastic material.

AI: Partial - Operating and tending machines can be automated, but the setup and configuration for diverse cutting and forming operations typically still require skilled human intervention.

Test and adjust machine speeds or actions, according to product specifications, using gauges and hand tools.

AI: Partial - Testing and adjusting speeds/actions can be automated via closed-loop controls, but many fine adjustments and calibrations still rely on manual gauges and human judgment.

Install, align, and lock specified punches, dies, cutting blades, or other fixtures in rams or beds of machines, using gauges, templates, feelers, shims, and hand tools.

AI: Partial - Installing, aligning, and locking punches and dies requires precise manual manipulation and adaptive fixturing that is only partially automatable with specialized equipment.

Position guides, stops, holding blocks, or other fixtures to secure and direct workpieces, using hand tools and measuring devices.

AI: Partial - Precise manual placement of guides, stops, and fixtures with hand tools requires fine dexterity and adaptive judgment that robotics/AI only partially handle as of 2025.

Position, align, and secure workpieces against fixtures or stops on machine beds or on dies.

AI: Partial - Positioning and securing varied workpieces against fixtures and dies often demands human dexterity and on‑the‑spot adjustments, though robots can assist in structured setups.

Load workpieces, plastic material, or chemical solutions into machines.

AI: Partial - Loading workpieces, plastics, or chemicals can be automated in controlled lines, but variable shapes, hazardous materials, and ad‑hoc loading still require human oversight or intervention.

Adjust ram strokes of presses to specified lengths, using hand tools.

AI: Partial - While electronic control and AI can set ram strokes on modern presses, many legacy machines require manual hand‑tool adjustments, so full automation is not universal by 2025.

Clean and lubricate machines.

AI: Partial - Cleaning and lubricating machines involve varied, sometimes awkward physical tasks and judgment about wear that remain only partially automatable.

Clean work area.

AI: Partial - Work‑area cleaning has partial automation (floor robots, sweepers) but comprehensive, detail‑oriented cleaning still typically needs humans.

Place workpieces on cutting tables, manually or using hoists, cranes, or sledges.

AI: Partial - Loading and placing variable workpieces often requires flexible fixturing and human judgment for atypical shapes and weights, so automation is only partial except in highly standardized setups.

Thread ends of metal coils from reels through slitters and secure ends on recoilers.

AI: Partial - Threading coil ends through slitters and securing them on recoilers requires delicate alignment and handling that is automated in some lines but still commonly needs human intervention, so only partial automation is realistic by 2025.

Grind out burrs or sharp edges, using portable grinders, speed lathes, or polishing jacks.

AI: Partial - Grinding out burrs with portable grinders requires adaptive force control and dexterous tool handling that robots can perform in fixed cells but not universally, so automation is partial.

Remove housings, feed tubes, tool holders, or other accessories to replace worn or broken parts, such as springs or bushings.

AI: Partial - Removing housings and replacing varied worn parts involves diverse disassembly steps and diagnostic judgment that limit automation to partial assistance or specialized fixtures.

Replace defective blades or wheels, using hand tools.

AI: Partial - Replacing defective blades or wheels often involves varied fasteners, alignment checks, and safety steps that are automated in some designs but generally remain only partially automatable.

Set blade tensions, heights, and angles to perform prescribed cuts, using wrenches.

AI: Partial - Setting blade tensions, heights, and angles requires precise torque, sensing, and occasional judgement; some machines automate these adjustments but most situations are only partially automatable.

Select, clean, and install spacers, rubber sleeves, or cutters on arbors.

AI: Partial - Robotic tool changers and automated fixtures can perform this in structured production lines, but many press setups still require human dexterity and judgment, so automation is partial.

Hand-form, cut, or finish workpieces, using tools such as table saws, hand sledges, or anvils.

AI: Partial - CNC machines and robots can perform many cutting and finishing operations, but ad hoc hand-forming with manual tools (sledge, anvil) relies on human tactile control and is not fully automated in general.

Sharpen dulled blades, using bench grinders, abrasive wheels, or lathes.

AI: Partial - Automated tool grinders and CNC sharpening systems exist, but bench-grinder sharpening in varied shop settings is often manual, so automation is only partial.

Hone cutters with oilstones to remove nicks.

AI: Partial - Honing with oilstones requires fine tactile feedback and setup variability that limits full automation, though specialist fixtures and robots can automate some repeat jobs.