Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

Production Occupations
رمز O*NET-SOC
51-4072.00

Set up, operate, or tend metal or plastic molding, casting, or coremaking machines to mold or cast metal or thermoplastic parts or products.

تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.

التعرّض للذكاء الاصطناعي

  • مصدر البيانات: BLSتاريخ النشر: 2026-08

    منخفض· نسبي

    منخفضأربع فئات نسبيةمرتفع جدًا

    قيمة على مستوى المجموعة المهنية

    المقياس والأساس والمصدر

    أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)

    831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه

    مجموعة البيانات المصدر (تنزيل ملف XLSX)

  • مصدر البيانات: Anthropicتاريخ النشر: 2026-03

    0.000

    0.000نطاق القيم المعروضة هنا0.745
    المقياس والأساس والمصدر

    مؤشر التعرّض المرصود، 0–1 كما نُشر

    مربوط بمهام O*NET

    منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة

    مجموعة البيانات المصدر (تنزيل ملف CSV)

  • مصدر البيانات: ILOتاريخ النشر: 2025

    0.13–0.17· مجموعتا ISCO-08

    المقياس والأساس والمصدر

    مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر

    قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي

    مجموعة البيانات المصدر (تنزيل ملف PDF)

ما نوع القيمة التي ينشرها هذا المصدر

فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.

قيمة ILO لكل مجموعة ISCO-08 مرتبطة
  • ISCO-08 7211Metal Moulders and Coremakers0.13
  • ISCO-08 8142Plastic Products Machine Operators0.17

التعرض للذكاء الاصطناعي (معيار OpenAI)

33 مهمة مقيَّمة · 4 مهمة بقيمة β ≥ 0.5 (12.1%)

β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.

  • وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
  • عدد المهام المقيَّمة غير الموجودة في قائمة مهام O*NET 31.0: 4؛ وتبقى درجاتها كما نُشرت وفق O*NET 27.2.
المصدر
OpenAI "GPTs are GPTs" exposure rubric
الإصدار
gh-main-0471612
الترخيص
MIT License, Copyright (c) 2024 OpenAI

المهام

أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.

المهمةالنوعβ (OpenAI)
Observe continuous operation of automatic machines to ensure that products meet specifications and to detect jams or malfunctions, making adjustments as necessary.أساسية0
Measure and visually inspect products for surface and dimension defects to ensure conformance to specifications, using precision measuring instruments.أساسية0.5
Set up, operate, or tend metal or plastic molding, casting, or coremaking machines to mold or cast metal or thermoplastic parts or products.أساسية0
Turn valves and dials of machines to regulate pressure, temperature, and speed and feed rates, and to set cycle times.أساسية0
Observe meters and gauges to verify and record temperatures, pressures, and press-cycle times.أساسية0
Read specifications, blueprints, and work orders to determine setups, temperatures, and time settings required to mold, form, or cast plastic materials, as well as to plan production sequences.أساسية0.5
Remove parts, such as dies, from machines after production runs are finished.أساسية0
Connect water hoses to cooling systems of dies, using hand tools.أساسية0
Smooth and clean inner surfaces of molds, using brushes, scrapers, air hoses, or grinding wheels, and fill imperfections with refractory material.أساسية0
Perform maintenance work such as cleaning and oiling machines.أساسية0
Position and secure workpieces on machines, and start feeding mechanisms.تكميلية0
Remove finished or cured products from dies or molds, using hand tools, air hoses, and other equipment, stamping identifying information on products when necessary.تكميلية0
Skim or pour dross, slag, or impurities from molten metal, using ladles, rakes, hoes, spatulas, or spoons.تكميلية0
Trim excess material from parts, using knives, and grind scrap plastic into powder for reuse.تكميلية0
Cool products after processing to prevent distortion.تكميلية0
Install dies onto machines or presses and coat dies with parting agents, according to work order specifications.تكميلية0
Mix and measure compounds, or weigh premixed compounds, and dump them into machine tubs, cavities, or molds.تكميلية0
Spray, smoke, or coat molds with compounds to lubricate or insulate molds, using acetylene torches or sprayers.تكميلية0
Adjust equipment and workpiece holding fixtures, such as mold frames, tubs, and cutting tables, to ensure proper functioning.تكميلية0
Inventory and record quantities of materials and finished products, requisitioning additional supplies as necessary.تكميلية1
Pour or load metal or sand into melting pots, furnaces, molds, or hoppers, using shovels, ladles, or machines.تكميلية0
Unload finished products from conveyor belts, pack them in containers, and place containers in warehouses.تكميلية0
Preheat tools, dies, plastic materials, or patterns, using blowtorches or other equipment.تكميلية0
Operate hoists to position dies or patterns on foundry floors.تكميلية0
Obtain and move specified patterns to work stations, manually or using hoists, and secure patterns to machines, using wrenches.تكميلية0
Repair or replace damaged molds, pipes, belts, chains, or other equipment, using hand tools, hand-powered presses, or jib cranes.تكميلية0
Maintain inventories of materials.تكميلية0.5
Select coolants and lubricants, and start their flow.تكميلية0
Select and install blades, tools, or other attachments for each operation.تكميلية0

معلومات مهنية

المصادر والإسناد

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 51-4072.00 Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

الإسناد والتراخيص كاملة