Transportation, Storage, and Distribution Managers

Management Occupations
رمز O*NET-SOC
11-3071.00

Plan, direct, or coordinate transportation, storage, or distribution activities in accordance with organizational policies and applicable government laws or regulations. Includes logistics managers.

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

التعرّض للذكاء الاصطناعي

  • مصدر البيانات: BLSتاريخ النشر: 2026-08

    مرتفع جدًا· 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

    0.096

    0.000نطاق القيم المعروضة هنا0.745

    قيمة 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

    مجموعة البيانات المصدر (تنزيل ملف CSV)

  • مصدر البيانات: ILOتاريخ النشر: 2025

    0.38

    0.09نطاق القيم المعروضة هنا0.70

    قيمة 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

    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.

التعرض للذكاء الاصطناعي (معيار OpenAI)

30 مهمة مقيَّمة · 28 مهمة بقيمة β ≥ 0.5 (93.3%)

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.

المهمةالنوعβ (OpenAI)
Supervise the activities of workers engaged in receiving, storing, testing, and shipping products or materials.أساسية0.5
Plan, develop, or implement warehouse safety and security programs and activities.أساسية0.5
Inspect physical conditions of warehouses, vehicle fleets, or equipment and order testing, maintenance, repairs, or replacements.أساسية0
Plan, organize, or manage the work of subordinate staff to ensure that the work is accomplished in a manner consistent with organizational requirements.أساسية0.5
Collaborate with other departments to integrate logistics with business systems or processes, such as customer sales, order management, accounting, or shipping.أساسية0.5
Analyze all aspects of corporate logistics to determine the most cost-effective or efficient means of transporting products or supplies.أساسية0.5
Resolve problems concerning transportation, logistics systems, imports or exports, or customer issues.أساسية0.5
Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging products or materials.أساسية1
Monitor operations to ensure that staff members comply with administrative policies and procedures, safety rules, union contracts, environmental policies, or government regulations.أساسية0.5
Analyze the financial impact of proposed logistics changes, such as routing, shipping modes, product volumes or mixes, or carriers.أساسية0.5
Monitor inventory levels of products or materials in warehouses.أساسية0.5
Establish or monitor specific supply chain-based performance measurement systems.أساسية0.5
Prepare and manage departmental budgets.أساسية0.5
Monitor product import or export processes to ensure compliance with regulatory or legal requirements.أساسية0.5
Prepare management recommendations, such as proposed fee and tariff increases or schedule changes.أساسية0.5
Interview, select, and train warehouse and supervisory personnel.أساسية0
Advise sales and billing departments of transportation charges for customers' accounts.أساسية0.5
Analyze expenditures and other financial information to develop plans, policies, or budgets for increasing profits or improving services.أساسية0.5
Confer with department heads to coordinate warehouse activities, such as production, sales, records control, or purchasing.أساسية0.5
Implement specific customer requirements, such as internal reporting or customized transportation metrics.أساسية0.5
Maintain metrics, reports, process documentation, customer service logs, or training or safety records.أساسية0.5
Examine invoices and shipping manifests for conformity to tariff and customs regulations.أساسية0.5
Plan or implement energy saving changes to transportation services, such as reducing routes, optimizing capacities, employing alternate modes of transportation, or minimizing idling.أساسية0.5
Evaluate contractors or business partners for operational efficiency or safety or environmental performance records.أساسية0.5
Negotiate with carriers, warehouse operators, or insurance company representatives for services and preferential rates.أساسية0.5
Develop or implement plans for facility modification or expansion, such as equipment purchase or changes in space allocation or structural design.أساسية0.5
Direct inbound or outbound operations, such as transportation or warehouse activities, safety performance, and logistics quality management.—0.5
Plan or implement improvements to internal or external systems or processes.—0.5
Recommend or authorize capital expenditures for acquisition of new equipment or property to increase efficiency and services.—0.5
Review invoices, work orders, consumption reports, or demand forecasts to estimate peak performance periods and to issue work assignments.—0.5

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: 11-3071.00 Transportation, Storage, and Distribution Managers

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