Industrial Engineering Technologists and Technicians
Architecture and Engineering Occupations- رمز O*NET-SOC
- 17-3026.00
Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة 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
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.000
0.000نطاق القيم المعروضة هنا0.745قيمة على مستوى المجموعة المهنية
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
- مصدر البيانات: ILOتاريخ النشر: 2025
0.26
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
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
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.
التعرض للذكاء الاصطناعي (معيار OpenAI)
30 مهمة مقيَّمة · 24 مهمة بقيمة β ≥ 0.5 (80.0%)
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
- جميع المهام المقيَّمة موجودة في قائمة مهام O*NET 31.0.
- 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.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency. | أساسية | 0.5 |
| Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications. | أساسية | 1 |
| Compile and evaluate statistical data to determine and maintain quality and reliability of products. | أساسية | 0.5 |
| Test selected products at specified stages in the production process for performance characteristics or adherence to specifications. | أساسية | 0 |
| Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance. | أساسية | 0 |
| Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance. | أساسية | 0.5 |
| Analyze, estimate, or report production costs. | أساسية | 0.5 |
| Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures. | أساسية | 0.5 |
| Coordinate equipment purchases, installations, or transfers. | أساسية | 0.5 |
| Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff. | أساسية | 0.5 |
| Develop or implement programs to address problems related to production, materials, safety, or quality. | أساسية | 0.5 |
| Identify opportunities for improvements in quality, cost, or efficiency of automation equipment. | أساسية | 0.5 |
| Monitor and adjust production processes or equipment for quality and productivity. | أساسية | 0.5 |
| Oversee or inspect production processes. | أساسية | 0.5 |
| Prepare layouts, drawings, or sketches of machinery or equipment, such as shop tooling, scale layouts, or new equipment design, using drafting equipment or computer-aided design (CAD) software. | أساسية | 0.5 |
| Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports. | أساسية | 1 |
| Provide advice or training to other technicians. | أساسية | 1 |
| Recommend corrective or preventive actions to assure or improve product quality or reliability. | أساسية | 0.5 |
| Select cleaning materials, tools, or equipment. | أساسية | 0 |
| Select material quantities or processing methods needed to achieve efficient production. | أساسية | 0.5 |
| Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays. | تكميلية | 0.5 |
| Evaluate industrial operations for compliance with permits or regulations related to the generation, storage, treatment, transportation, or disposal of hazardous materials or waste. | تكميلية | 0.5 |
| Calibrate or adjust equipment to ensure quality production, using tools such as calipers, micrometers, height gauges, protractors, or ring gauges. | تكميلية | 0 |
| Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs. | تكميلية | 0.5 |
| Design plant layouts or production facilities. | تكميلية | 0.5 |
| Develop manufacturing infrastructure to integrate or deploy new manufacturing processes. | تكميلية | 0.5 |
| Develop production, inventory, or quality assurance programs. | تكميلية | 0.5 |
| Develop sustainable manufacturing technologies to reduce greenhouse gas emissions, minimize raw material use, replace toxic materials with non-toxic materials, replace non-renewable materials with renewable materials, or reduce waste. | تكميلية | 0.5 |
| Oversee equipment start-up, characterization, qualification, or release. | تكميلية | 0 |
| Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures. | تكميلية | 0 |
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: 17-3026.00 Industrial Engineering Technologists and Technicians
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.