Industrial Engineers
Architecture and Engineering Occupations- O*NET-SOC コード
- 17-2112.00
Design, develop, test, and evaluate integrated systems for managing industrial production processes, including human work factors, quality control, inventory control, logistics and material flow, cost analysis, and production coordination.
- データ出典: BLS公表時点: 2026-08
非常に高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分(低い / 中程度 / 高い / 非常に高い)
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.037
0.000ここに掲載された値の範囲0.745職業群単位の値
尺度・母数・出典
観測エクスポージャー指数、公開されたまま0–1
O*NETタスクへの対応づけが基準
SOC 2018の職業単位で公表された値で、同じSOC 2018コードを持つO*NET職業はすべてこの値になります
- データ出典: ILO公表時点: 2025
0.37
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の細分類(4桁)単位で公表された値です。米国労働統計局(BLS)の公式対応表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)を公表どおり適用してこの職業に結び付けており、対応は全部または一部です
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 16 件を表示評価済みタスク 20 件 · β ≥ 0.5 のタスク 20 件(100.0%)
β = 直接的な露出(E1)+ 0.5 × ツール利用時の露出(E2)。原典リポジトリの定義に従います。
- 原典の単位:O*NET 27.2 のタスク → O*NET 31.0 の職業コード
- 評価済みタスクはすべて O*NET 31.0 のタスク一覧にあります。
- 出典
- OpenAI "GPTs are GPTs" exposure rubric
- 版
- gh-main-0471612
- ライセンス
- MIT License, Copyright (c) 2024 OpenAI
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Communicate with management and user personnel to develop production and design standards.17-2112.00 | 0.004332.6 |
Recommend methods for improving utilization of personnel, material, and utilities.17-2112.00 | 0.004231.8 |
Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status.17-2112.00 | 0.002518.9 |
Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer.17-2112.00 | 0.002216.7 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Complete production reports, purchase orders, and material, tool, and equipment lists.O*NET Task ID 1408 | 1.0 |
Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product.O*NET Task ID 1391 | 0.5 |
Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization.O*NET Task ID 1392 | 0.5 |
Recommend methods for improving utilization of personnel, material, and utilities.O*NET Task ID 1393 | 0.5 |
Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization.O*NET Task ID 1394 | 0.5 |
Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards.O*NET Task ID 1395 | 0.5 |
Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer.O*NET Task ID 1398 | 0.5 |
Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities.O*NET Task ID 1399 | 0.5 |
Communicate with management and user personnel to develop production and design standards.O*NET Task ID 1400 | 0.5 |
Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data.O*NET Task ID 1402 | 0.5 |
Record or oversee recording of information to ensure currency of engineering drawings and documentation of production problems.O*NET Task ID 1403 | 0.5 |
Study operations sequence, material flow, functional statements, organization charts, and project information to determine worker functions and responsibilities.O*NET Task ID 1404 | 0.5 |
Direct workers engaged in product measurement, inspection, and testing activities to ensure quality control and reliability.O*NET Task ID 1405 | 0.5 |
Implement methods and procedures for disposition of discrepant material and defective or damaged parts, and assess cost and responsibility.O*NET Task ID 1406 | 0.5 |
Evaluate precision and accuracy of production and testing equipment and engineering drawings to formulate corrective action plan.O*NET Task ID 1407 | 0.5 |
Schedule deliveries based on production forecasts, material substitutions, storage and handling facilities, and maintenance requirements.O*NET Task ID 1409 | 0.5 |
Regulate and alter workflow schedules according to established manufacturing sequences and lead times to expedite production operations.O*NET Task ID 1410 | 0.5 |
Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control.O*NET Task ID 18607 | 0.5 |
Coordinate and implement quality control objectives, activities, or procedures to resolve production problems, maximize product reliability, or minimize costs.O*NET Task ID 18608 | 0.5 |
Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status.O*NET Task ID 18609 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
O*NET 31.0 のタスク全件(20件)
この職業の O*NET 31.0 のタスク全件(英語原文、種別はコア・補足)。露出値はこの一覧には載せず、上の表で各出典が用いた O*NET 版の文言の横にあります。
| タスク(O*NET 31.0) | 種類 |
|---|---|
| Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product. | コア |
| Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization. | コア |
| Recommend methods for improving utilization of personnel, material, and utilities. | コア |
| Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization. | コア |
| Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards. | コア |
| Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer. | コア |
| Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities. | コア |
| Communicate with management and user personnel to develop production and design standards. | コア |
| Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data. | コア |
| Record or oversee recording of information to ensure currency of engineering drawings and documentation of production problems. | コア |
| Study operations sequence, material flow, functional statements, organization charts, and project information to determine worker functions and responsibilities. | コア |
| Direct workers engaged in product measurement, inspection, and testing activities to ensure quality control and reliability. | コア |
| Implement methods and procedures for disposition of discrepant material and defective or damaged parts, and assess cost and responsibility. | コア |
| Evaluate precision and accuracy of production and testing equipment and engineering drawings to formulate corrective action plan. | コア |
| Complete production reports, purchase orders, and material, tool, and equipment lists. | コア |
| Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control. | コア |
| Coordinate and implement quality control objectives, activities, or procedures to resolve production problems, maximize product reliability, or minimize costs. | コア |
| Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status. | コア |
| Schedule deliveries based on production forecasts, material substitutions, storage and handling facilities, and maintenance requirements. | 補足 |
| Regulate and alter workflow schedules according to established manufacturing sequences and lead times to expedite production operations. | 補足 |
0.00/ 3· ロボット露出指数
尺度・母数・出典
身体的なタスクそれぞれに、実際に導入・販売・実演されたロボットがこなせる環境に応じて 0–3 の等級を付け(0 不可 · 1 フェンスで囲われた機械セルや瓶詰めラインのようなロボット専用設備 · 2 病院の薬剤部やコンテナ港のような管理された施設 · 3 一般家庭や建設現場のような非定型の環境)、勤務時間に占める割合で平均した値
この職業の O*NET 29.3 タスクのうち身体的なタスクが対象
等級と時間の割合は Anthropic が Claude Opus 5(ウェブ検索)で推定しました(2026年時点)。
ロボット露出指数は、このサイトの AI 露出度とは別の指標であり、足し合わせたり比べたりすることはできません。実際の導入やコスト競争力を示すものではなく、0 には身体的なタスクのない職業も含まれます。
身体的なタスクごとの等級
この職業の O*NET 29.3 タスクのうち、身体的なタスクに分類されたものはありません。
職業情報
雇用見通し(BLS)
この O*NET 職業だけの値ではなく、SOC 17-2112 グループ(Industrial engineers)全体の値です。
- 雇用者数、2025
- 365K
- 雇用者数見通し、2035
- 411K
- 変化率 (2025–35)
- +12.4%
- 年間賃金の中央値、2025
- $102,440
- 入職時に通常必要な学歴
- Bachelor's degree
韓国職業分類との対応(KSCO)
AI Changing Work が作成した Korea Occupation Direct Crosswalk v1.1 現行版の対応です。関係の値は O*NET-SOC 職業の側から読みます。
| KSCO コード | KSCO 名称 | 関係 | 状態 |
|---|---|---|---|
| 23990 | 그 외 공학 관련 기술자 및 시험원 | 関連(対応ではない) | 確定 |
関係と状態の定義(kr-direct v1.1)
ILO(国際労働機関)の職業説明
以下のISCO-08職業群は、AI Changing Workが米国労働統計局(BLS)の発行するクロスウォーク(2018 SOC→2010 SOC、2010 SOC→ISCO-08)を個別の選択なしにそのまま適用して、この職業に結び付けたものです。結び付きは全体的な対応の場合も部分的な対応の場合もあります。
- ISCO-08 2141Industrial and Production Engineers
工業生産技術者
出典: 総務省「国際標準職業分類(ISCO)2008年改定版(仮訳)分類項目名一覧(和英対照)」— 原著:ILO ISCO-08 © International Labour Organization(日本語訳は総務省がILOの許可を得て作成)
以下の定義・作業・職業例は、この職業ではなく、当該ISCO-08職業群についてのILOによる説明です。
Industrial and production engineers conduct research and design, organize and oversee the construction, operation and maintenance of industrial production processes and installations. They establish programmes for the coordination of manufacturing activities and assess cost effectiveness and safety.
作業
- (a) studying functional statements, organizational charts and project information to determine functions and responsibilities of workers and work units and to identify areas of duplication;
- (b) establishing work measurement programmes and analysing work samples to develop standards for labour utilization;
- (c) analysing workforce utilization, facility layout, operational data and production schedules and costs to determine optimum worker and equipment efficiencies;
- (d) developing specifications for manufacture, and determining materials, equipment, piping, material flows, capacities and layout of plant and systems;
- (e) organizing and managing project labour and the delivery of materials, plant and equipment;
- (f) establishing standards and policies for installation, modification, quality control, testing, inspection and maintenance according to engineering principles and safety regulations;
- (g) inspecting plant to improve and maintain performance;
- (h) directing the maintenance of plant buildings and equipment, and coordinating the requirements for new designs, surveys and maintenance schedules;
- (i) advising management on new production methods, techniques and equipment;
- (j) liaising with materials buying, storing and controlling departments to ensure a steady flow of supplies.
職業例
Industrial efficiency engineer · Industrial engineer · Industrial plant engineer · Production engineer
Sources: ILO ISCO-08 — details: Credits
ESCO 職業語彙
以下の各項目は、公開されているESCO-O*NET Crosswalk(バージョン1、2022年)で、この職業と一つずつ対応付けられたものです。対応の種類はそのクロスウォークによるもので、表現はAI Changing Workによるものです。
- industrial engineerESCO 2141.3この職業のほうが広い
Industrial engineers design a vast array of production systems aiming to present efficient and effective solutions. They integrate a varied number of variables such as workers, technology, ergonomics, production flows, and product specifications for the design and implementation of production systems. They can specify and design for microsystems as well.
- industrial tool design engineerESCO 2144.1.9この職業のほうが広い
Industrial tool design engineers design various industrial tools in accordance with customer needs, manufacturing requirements, and building specifications. They test the designs, look for solutions to any problems, and oversee production.
- production engineerESCO 2141.3.2この職業のほうが広い
Production engineers review and evaluate production performance, perform data analysis and identify under-performing production systems. They search for long or short term solutions, plan production enhancements and process optimizations.
- calculation engineerESCO 2149.2.1重なるが同じではない
Calculation engineers draw conclusions about real systems, such as on strength, stability and durability, by performing experiments on virtual models. They test production processes as well.
- design engineerESCO 2149.2.4重なるが同じではない
Design engineers develop new conceptual and detailed designs. They create the look for these concepts or products and the systems used to make them. Design engineers work with engineers and marketers to enhance the functioning and efficiency of existing devices.
- manufacturing engineerESCO 2141.3.1重なるが同じではない
Manufacturing engineers design manufacturing processes for different kinds of production processes. They integrate those specificities and constraints posed by the industry or the product being produced with general and wide-spread manufacturing engineering principles into the design and planification of manufacturing processes.
- process engineerESCO 2141.9重なるが同じではない
Process engineers apply engineering concepts in order to improve all kinds of production and manufacturing processes in terms of efficiency and productivity. They evaluate the variables and constraints present in given processes and present engineering solutions to optimise them.
出典: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ライセンス: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
フランス職業分類との対応(ROME)
この職業と ROME 4.0 の職業票(fiche)との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。「暫定」と表示した対応は、同じモデル系列(Claude)の二人の判定者による判定のみ、またはその判定に運営者の規則を適用して採用したものであり、確定した対応より根拠が弱くなります。
| ROME コード | ROME 名称(フランス語) | 関係 |
|---|---|---|
| H1402 | Ingénieur / Ingénieure méthodes et process | この職業のほうが広い暫定 |
| H1407 | Responsable méthodes-industrialisation | この職業のほうが広い暫定 |
| H1410 | Ingénieur / Ingénieure de gestion de la production | この職業のほうが広い暫定 |
| H2502 | Ingénieur / Ingénieure de production | 重なるが同じではない暫定 |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
スペイン職業分類との対応(CNO-11)
この職業と CNO-11 の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。
| CNO-11 コード | CNO-11 名称(スペイン語) | 関係 |
|---|---|---|
| 2431 | Ingenieros industriales y de producción | この職業のほうが広い |
| 2461 | Ingenieros técnicos industriales y de producción | この職業のほうが広い |
| 2469 | Ingenieros técnicos no clasificados bajo otros epígrafes | 関連(対応ではない) |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
ドイツ職業分類との対応(KldB)
この職業と KldB の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。
| KldB コード | KldB 名称(ドイツ語) | 関係 |
|---|---|---|
| 27304 | Berufe in der technischen Produktionsplanung und -steuerung - hoch komplexe Tätigkeiten | この職業のほうが狭い |
| 27314 | Berufe in der technischen Qualitätssicherung - hoch komplexe Tätigkeiten | 関連(対応ではない) |
| 23124 | Berufe in der Papierverarbeitung und Verpackungstechnik - hoch komplexe Tätigkeiten | 関連(対応ではない)暫定 |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
日本職業分類との対応(JSCO)
この職業と JSCO の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。
| JSCO コード | JSCO 名称(日本語) | 関係 |
|---|---|---|
| 082 | 電気・電子・電気通信技術者(通信ネットワーク技術者を除く)(開発を除く) | 重なるが同じではない暫定 |
| 083 | 機械技術者(開発を除く) | 重なるが同じではない暫定 |
| 084 | 自動車技術者(開発を除く) | 関連(対応ではない)暫定 |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
このページのデータの出典・ライセンスと AI Changing Work による改変・翻訳の告知:クレジットと出典