Textile winding, twisting, and stretching machine setters, operators, and tenders Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders
Kod pekerjaan: 51-6064（SOC） Bukan pekerjaan migrasi mahir Keseluruhan 5.3/10
Operate or monitor textile machinery to wind, twist, or stretch fibers (e.g., wool, synthetic fibers) into yarn or thread, including roving frame and drawing frame operators.
Penilaian · Keseluruhan 5.3/10i
In the AI era: what happens to Textile winding, twisting, and stretching machine setters, operators, and tenders
Textile winding, twisting, and drawing machine operators face high automation risk; AI and robots will take over most repetitive tasks, with job demand continuously shrinking.
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Replaced some machine setup and monitoring tasks, such as automatically adjusting twist and tension, reducing manual adjustment frequency.
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Replaces manual visual inspection and parameter adjustment, such as automatically identifying poor joints, thick and thin spots, and adjusting stretch settings.
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Largely replaced manual operations and monitoring tasks, such as automatic splicing, automatic doffing, and real-time optimization of spinning quality.
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Replaces some tasks of stretcher machine setup and adjustment, such as automatically identifying fiber unevenness and adjusting draw ratio.
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Largely replaced the work of twine machine operators, e.g., automatic doffing, auto-splicing, auto-parameter optimization.
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Replaced some quality monitoring and troubleshooting tasks, such as predicting breakages and automatically adjusting process parameters.
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- Monitor machine running status and adjust parameters; AI vision and sensors enable real-time monitoring and automatic adjustment
- perform yarn splicing and broken yarn handling; robotic arms can now automatically complete splicing tasks
- Record production data and output; IoT devices automatically collect and upload to the system
- Perform simple quality checks; AI visual inspection can replace manual visual inspection
- Optimize process flow through AI analysis of production data to improve efficiency
- Remote assistance for complex troubleshooting using AR glasses
- Use digital twins for virtual commissioning to reduce downtime
- Use AI predictive maintenance systems to schedule servicing and extend equipment life
- Experiential intuition when handling new fiber materials
- Ability to diagnose equipment anomalies and perform emergency repairs
- Ability to flexibly switch between multiple varieties and small batch production
- Cross-process coordination and communication skills
- Industrial robot operation and programming
- PLC and SCADA system basics
- Data analysis and statistical process control
- Predictive maintenance technology
- Digital twin simulation tools
- Lean production and Six Sigma methodology
Entry-level positions have narrowed significantly, with basic operational roles replaced by automation, making it harder for newcomers to find entry opportunities; they need to shift to equipment maintenance or process optimization.
Transition to Textile Equipment Maintenance Technician (responsible for automated equipment repair and programming) or Production Process Optimization Engineer (using AI analysis to improve efficiency). Mastering robot programming, IoT, and data analysis skills can lead to promotion to Smart Textile Workshop Technical Supervisor.
Gaji
| Pengalaman | Tahunan (USD) | |
|---|---|---|
| Permulaan (0-3 tahun) | $25,000 ~ $32,000 | Hourly wage approximately $12-15 |
| Pertengahan (3-7 tahun) | $32,000 ~ $40,000 | Hourly wage about $15-19 |
| Senior (7+ years) | $40,000 ~ $48,000 | Hourly wage approximately $19-23 |
Laluan Pendidikan
| Peringkat | Tempoh | Kos (USD) |
|---|---|---|
| High school diploma or equivalent | 4 tahun | $0~$0 |
| On-the-job training | Several months to 1 year | $0~$1,000 |
Kelayakan
| Kelayakan | Pengeluar | |
|---|---|---|
| High school diploma | High school | Wajib |
| On-the-job training | Employer | Wajib |
Migrasi
Bukan pekerjaan migrasi mahir. Visa pathways depend on matching the specific duties to the right petition category; refer to the latest USCIS rules and the relevant category.
Siapa yang sesuai
- People who enjoy repetitive mechanical tasks and have strong hands-on skills
- People willing to work night shifts or rotating shifts and adapt to factory environments
- Those who need quick entry for stable income and do not seek high salary
- Those seeking high income and career development space
- Not suitable for those who dislike repetitive work or are sensitive to noise and dust.
Prospek kerjaya
Typically start as operators, and with experience can advance to senior operator, team leader, or production supervisor. A few move into quality control or equipment maintenance roles.
US textile employment is expected to decline due to automation and overseas competition. This occupation has an annual growth rate of about -3%, with actual demand mainly from replacing retiring workers.
Bidang pertumbuhan：
AutomationOffshoringRetirement ReplacementSlow Decline
FAQ
Sumber data
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.