Industrial engineers
Also called Process engineer, Lean engineer, Six Sigma engineer, IE, Operations engineer
In brief
In May 2025, BLS counted 365,740 US industrial engineers, with median pay of $102,440 a year. Of the BLS counts since 2003, the May 2025 count is the highest. The earliest figure here is an estimate of 15,000 from 1920, not measured the same way as today's count. The last full technology era for industrial engineers: ERP + simulation software, 2005 to 2020.
What the sources say
Official outlook
BLS projects employment to grow 12.4% from 2025 to 2035.
AI exposure studies
- 60.5% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.
Last updated .
Cite this page
Future History. (2026, October 11). Industrial engineers: jobs and pay since 1920 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/17-2112
Future History. "Industrial engineers: jobs and pay since 1920." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/17-2112.
@misc{futurehistory_17_2112, author = {{Future History}}, title = {Industrial engineers: jobs and pay since 1920}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/17-2112}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }
The access date is today's date on your device.
≈ $99,814 in 2024 prices (derived by us, CPI-adjusted)
Frederick Taylor presents "A Piece-Rate System" to the American Society of Mechanical Engineers in 1895 -- the first systematic articulation of the time-study method and piece-rate incentive pay. Taylor describes measuring individual work elements with a stopwatch, setting standards from the best observed performance, and paying workers above the standard rate only for work done at or above the standard pace. The paper is the founding document of industrial engineering as a discipline, though Taylor himself will not use the term "industrial engineer" for another decade.
"The Principles of Scientific Management" by Frederick Winslow Taylor is published by Harper and Brothers. In 2001 Fellows of the Academy of Management voted it the most influential management book of the twentieth century. The book's central argument -- that the "best way" to perform any task can be discovered through scientific observation and measurement, and that this knowledge belongs to management rather than the individual worker -- defines both the power and the enduring ethical controversy of industrial engineering. Taylor's methods increase productivity substantially; they also transfer control of the work process from craftsmen to engineers, a transfer that the labor movement would contest for the next half-century.
Henry Ford opens the Highland Park assembly plant and introduces the moving assembly line for the Model T in 1913, reducing chassis assembly time from 12.5 hours to 93 minutes. The moving assembly line is a direct application of industrial engineering principles -- work flows to the worker rather than the worker to the work; each station is paced to the line speed; buffer inventory between stations is minimized. Ford's industrial engineers, led by Charles Sorensen and working in concert with IE consultants, designed the Highland Park line using time-study data from earlier stationary assembly operations. The assembly line becomes the dominant paradigm in mass manufacturing for the next 70 years.
January 1948: Wyllys G. Stanton, a University of Alabama alumnus, invites twelve colleagues to his home in Columbus, Ohio, to discuss forming a professional organization specifically for industrial engineers. The American Institute of Industrial Engineers (AIIE) is formally established that year. Membership reaches 1,279 in the first year -- a striking growth rate reflecting pent-up demand for professional recognition in a field that had been practiced for 50 years without its own society. The AIIE will become IIE (Institute of Industrial Engineers) in 1981 and IISE (Institute of Industrial and Systems Engineers) in 2016, reflecting the discipline's expansion from factory floors to systems thinking at enterprise scale.
1950-1960 Census comparison shows industrial engineers experienced 140% employment growth in the decade -- the second-highest relative increase among professional occupations, after aeronautical engineers (194%) and alongside mathematicians (348%). The growth reflects three concurrent forces: the post-Sputnik surge in technical education and federal R&D investment, the spread of scientific management methods to government agencies and service industries, and the expansion of the aerospace and defense industrial base that required rigorous production planning at unprecedented scale and complexity.
"The Machine That Changed the World" by Womack, Jones, and Roos (1990) publishes the results of the five-year MIT International Motor Vehicle Program study comparing Japanese and Western automotive plants. The study documents that lean plants require half the labor, half the space, and half the inventory of traditional Western plants to produce the same output with fewer defects. The book launches the US lean manufacturing movement, creating a decade-long wave of demand for industrial engineers trained in Toyota Production System principles. The lean IE becomes the dominant professional archetype of the 1990s and 2000s.
The CHIPS and Science Act (August 2022) and the Inflation Reduction Act (August 2022) together authorize over $400 billion in US industrial investment -- semiconductor fabs, electric vehicle battery plants, solar panel manufacturing, clean hydrogen production, and defense industrial base expansion. The reshoring wave these incentives trigger creates acute demand for industrial engineers to design new US manufacturing facilities, integrate automation systems, and develop workforce training programs for entirely new product lines being produced domestically for the first time. BLS projects 11% IE employment growth through 2034 in this context.
Will AI replace industrial engineers? What the research says
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.
What's changing day to day for industrial engineers
Three parts of your work where AI is already doing real lifting, and what stays yours.
AI is sitting alongside you hereDiscover and map production process inefficiencies using AI-powered process mining tools (Celonis Process Intelligence, SAP Signavio AI): ingest ERP event logs and MES timestamp data
Discover and map production process inefficiencies using AI-powered process mining tools (Celonis Process Intelligence, SAP Signavio AI): ingest ERP event logs and MES timestamp data; use AI to auto-generate process maps and highlight deviation frequencies, cycle-time bottlenecks, and conformance gaps against the designed standard; prioritize improvement opportunities by estimated impact before committing to manual investigation.[6],[7]
Process mining tools surface statistical bottlenecks from system logs, but logs do not capture informal workarounds, operator tribal knowledge, or downstream effects of a proposed fix. Always validate AI-identified improvement candidates with a floor walk and structured interviews with operators and supervisors before recommending a process change: the gap between what the system records and what actually happens is where IE value lives.
AI is sitting alongside you hereEstimate production costs and model the financial impact of process design changes: pull actuals from ERP cost centers
Estimate production costs and model the financial impact of process design changes: pull actuals from ERP cost centers; build parametric cost models in Excel or Python that link process parameters (cycle time, scrap rate, labor hours, machine utilization) to unit cost; use AI code assistants (Cursor, ChatGPT) to accelerate model development and scenario generation for capital justification proposals submitted to manufacturing finance.[1],[4]
AI code generation accelerates cost model scaffolding but the model structure (which cost pools to include, what allocation basis to use for shared resources, how to handle fixed vs. variable cost behavior) requires IE judgment about the actual production economics. Never submit a cost-justification proposal built by AI alone; personally walk through every cost driver assumption with the plant controller before presenting to management.
AI is sitting alongside you hereDevelop and maintain production scheduling logic and capacity plans: use supply-chain AI platforms (Kinaxis Maestro, o9 Solutions) to model demand variability, capacity constraints, and inventory positions across the production network
Develop and maintain production scheduling logic and capacity plans: use supply-chain AI platforms (Kinaxis Maestro, o9 Solutions) to model demand variability, capacity constraints, and inventory positions across the production network; evaluate AI-generated schedule recommendations and adjust for constraints not captured in the planning model (tool changeover windows, operator certification limits, regulatory inspection holds).[9],[10]
AI scheduling platforms optimize against their configured constraint set but production floors always have informal constraints the model does not know about: equipment that officially runs near capacity but practically runs well below it late in the day, or operators who are technically certified but slower on a specific product family. Build a systematic constraint-capture process with production supervisors so the planning model reflects the actual floor, and establish a clear escalation protocol for when the AI recommendation conflicts with operator feedback.
Where industrial engineers go next
Natural next steps for someone with your foundation: not exits, evolutions.
- Architectural and Engineering Managers
- US median pay
- $171,270 (May 2025)
- BLS outlook 2025-35
- +5.5%
- Logisticians
- US median pay
- $82,320 (May 2025)
- BLS outlook 2025-35
- +17.6%
- Operations Research Analysts
- US median pay
- $88,940 (May 2025)
- BLS outlook 2025-35
- +11.9%
What each move takes
Architectural and Engineering Managers
Senior Industrial Engineers who build capital project ownership, team leadership, and cross-functional program management experience are the natural pipeline into Engineering Manager roles in manufacturing organizations. This transition is especially timely as manufacturers investing in AI-driven factory automation need managers who can govern AI tool adoption, evaluating process mining and digital twin platforms, setting AI-output review standards, and leading organizational change on the factory floor. Engineering Managers retain IE technical credibility while operating at a scope (budget, headcount, facility roadmap) where AI displacement is minimal. BLS projects sustained demand for engineering managers tied to U.S. manufacturing reshoring investment.
How has the work of industrial engineers changed since 1878?
The tools that defined the work, one line per era. Select an era to see how it reshaped the work.
Stopwatch + time-and-motion study (Taylor era)
Frederick Taylor's stopwatch was the first professional tool of industrial engineering. Mounted on a clipboard board next to a handwritten observation sheet, it allowed an engineer to decompose any physical task into numbered elements, time each element repeatedly across multiple workers, identify the fastest observed time for each element, add allowances for fatigue and delay, and then set a standard time that defined what a "fair day's work" should be. Frank and Lillian Gilbreth extended this with motion study: using hand-cranked 35mm cameras, grid backdrops, and light-traced simo charts (simultaneous motion charts) to capture and eliminate unnecessary hand and body movements. Gilbreth named the elemental motions "therbligs" (Gilbreth reversed), presenting the full therblig system to the management community in 1924. Together, Taylor's time study and Gilbreth's motion study gave industrial engineers a reproducible, scientific method for optimizing manual work that required no capital equipment beyond a camera and a stopwatch.
Effect on the workSimilar gains were documented across shoveling, brick-laying (Gilbreth), and machine-shop operations. The method spread rapidly to defense manufacturing during World War I, where it was credited with enabling US armaments production to scale faster than historically possible.
Gantt chart + statistical quality control (Shewhart, World War II production management)
Henry Gantt, a Taylor associate, developed the Gantt chart during World War I as a visual tool for scheduling war production -- bars on a horizontal time axis showed planned versus actual progress for each task in a production sequence. General Goethals used Gantt charts to schedule the massive ship-building program of 1917-18. Simultaneously, Walter Shewhart at Bell Telephone Laboratories developed statistical quality control in the 1920s, introducing the control chart in 1924 and publishing "Economic Control of Quality of Manufactured Product" in 1931. During World War II, the US Training Within Industry (TWI) program took both systems to scale: over 1.6 million workers in 16,500+ plants were certified in TWI's three J-programs (Job Instruction, Job Methods, Job Relations) between 1940 and 1945, embedding industrial engineering principles in production management at a scale Taylor's individual consulting model could never reach.
Effect on the workThe Gantt chart became the most widely used production planning tool in US manufacturing from 1917 through the mid-1970s, when MRP software began replacing manual scheduling.
Operations Research + PERT/CPM (linear programming, queuing theory, critical path methods)
The operations research techniques developed during World War II for logistics and military planning -- linear programming (Dantzig's simplex method, 1947), queuing theory, statistical sampling, and combinatorial optimization -- entered industrial engineering curricula and practice in the 1950s. Program Evaluation and Review Technique (PERT) was developed by the US Navy and Booz Allen Hamilton for the Polaris missile program in 1957; the Critical Path Method (CPM) was developed independently by DuPont for plant maintenance scheduling in 1956-57. Both PERT and CPM spread rapidly to construction and defense manufacturing, giving IEs a computational method for scheduling complex, multi-activity projects that Gantt charts could not handle. The AIIE founded in 1948 grew rapidly through this period, reaching tens of thousands of members as Operations Research and Industrial Engineering became paired disciplines in university programs.
Effect on the workPERT/CPM adoption on the Polaris program is credited with compressing the development schedule by roughly two years. Operations research methods extended the IE's reach from the individual workstation to the plant-level and supply-chain level for the first time.
MRP / MRP II / CAD-CAM (IBM mainframe manufacturing systems)
Material Requirements Planning (MRP) emerged from a collaboration between IBM and J.I. Case in the 1960s, and through the 1970s it became the dominant planning system for discrete manufacturers. MRP translated a master production schedule into time-phased requirements for components and raw materials, replacing the manual "back-of-the-envelope" methods that IEs had used for production planning. MRP II (Manufacturing Resource Planning) extended this in the 1980s to include capacity planning, shop-floor scheduling, and demand forecasting. IBM's System/360 mainframes, installed in large factories through the 1970s, gave IEs their first access to computational tools powerful enough to run real production schedules. Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems arrived in the same era, allowing facility layout designs and process simulations to be run digitally for the first time. The practical effect for IEs was a shift from manual calculation and hand-drawn flow charts to computer-generated analyses -- the same professional role, substantially faster.
Effect on the workMRP adoption across US manufacturing in the 1970s and early 1980s reduced average inventory levels in documented case studies, representing billions of dollars in freed working capital. The systems also created a new class of IE work: configuring, maintaining, and improving the MRP models -- a task that required both industrial engineering process knowledge and computer systems literacy that older practitioners rarely had.
Lean manufacturing + Six Sigma (Toyota Production System adoption in Western factories)
The Toyota Production System (TPS), developed by Taiichi Ohno and Shigeo Shingo at Toyota from the late 1950s through the 1970s, reached Western factories in earnest through the 1980s. The MIT study that became "The Machine That Changed the World" (1990) documented that Japanese lean plants needed half the labor, half the space, and half the inventory of traditional Western assembly plants. US manufacturers responded with a wave of lean transformation programs, and industrial engineers became the primary agents of lean adoption: facilitating kaizen events, mapping value streams, implementing pull systems and kanban, and training production supervisors in waste-identification techniques. Motorola's Six Sigma quality management system (1986) and its adoption by Allied Signal and GE (Jack Welch, 1995) created another IE-led methodology wave: Black Belt and Green Belt certification programs enrolled hundreds of thousands of engineers in structured problem-solving and statistical process control. Together, lean and Six Sigma defined the professional IE toolkit through the 1990s and 2000s and remain the dominant IE frameworks in manufacturing as of 2026.
Effect on the workThe lean/Six Sigma wave substantially expanded the IE workforce in manufacturing during a period when overall manufacturing employment was declining -- companies needed more IEs to drive the productivity gains that let them compete with lower-cost offshore producers.
ERP (SAP S/4HANA, Oracle) + simulation software (AnyLogic, Arena, discrete-event modeling)
Enterprise Resource Planning systems -- led by SAP and Oracle -- became the central data layer of manufacturing operations through the 2000s, and industrial engineers who could work fluently inside ERP became substantially more valuable than those who could not. SAP and Oracle implementations required IEs to define process standards, configure production routing and work center parameters, and validate that the system's model of the factory matched physical reality. Simultaneously, discrete-event simulation software (AnyLogic, Simul8, Arena) became affordable and accessible enough for plant-level IEs to run their own factory simulations without specialist consultants. An IE with a laptop running AnyLogic could model a proposed production-line reconfiguration, test multiple staffing scenarios, and identify bottlenecks in hours that would previously have required weeks of manual queuing-theory calculations. Simulation skills became a new differentiator separating IEs who could influence capital decisions from those who remained in analytical support roles.
AI process mining + digital twins + supply-chain AI (Celonis, AnyLogic AI, Kinaxis Maestro)
The AI augmentation wave of 2020-2026 is the most powerful tool transition industrial engineering has experienced since the stopwatch itself. Celonis Process Intelligence (relaunched 2025) and SAP Signavio AI mine ERP and MES event logs to auto-generate process maps, bottleneck analyses, and conformance deviation reports in hours that previously required weeks of manual data gathering and VSM facilitation. AnyLogic Cloud's AI-assisted experiment design sweeps thousands of production-policy combinations automatically, identifying Pareto-optimal configurations that IEs could not explore manually within project budgets. Siemens Plant Simulation with AI enhancements lets IEs run virtual factory experiments before any physical change is committed. Kinaxis Maestro and o9 Solutions apply AI to supply-chain planning at the network level, generating re-plan recommendations in real time as disruptions emerge. The practical effect is a compression of the routine analytical work that previously filled junior IE hours -- process discovery, data extraction, simulation setup -- and an expansion of the higher-stakes work that only practitioners with physical-world judgment can do: change management on the floor, capital project ownership, ergonomic site assessment, and the interpretation of AI-generated recommendations against production realities the model does not know.
Effect on the workBLS projects 11% employment growth for industrial engineers through 2034, faster than average, as the manufacturing reshoring wave (CHIPS Act, IRA) and factory automation integration demand outpace the analytical-task compression from AI tools.
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Browse all rolesIndustrial Engineers employment and pay by year
In other countries
The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.
Canada (NOC 21321)
- Employment, 2020
- 16,115, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 21321 Industrial and manufacturing engineers, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
- Median pay, 2020
- C$88,000, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 21321 Industrial and manufacturing engineers, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
United Kingdom (UK SOC 2125)
- Employment, 2025
- 53,000, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14): employee jobs in SOC 2125 Production and process engineers, United Kingdom, 2025 (ASHE "number of jobs", thousands x1000; excludes self-employment). Open Government Licence v3.0.
- Median pay, 2025
- £47,711, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14.7a): median gross annual pay for all employee jobs in SOC 2125 Production and process engineers, United Kingdom, 2025. Open Government Licence v3.0.
Australia (ANZSCO 2335)
- Employment, 2025
- 41,800, ABS Labour Force Survey Official statistic Report an errorABS Labour Force Survey (Detailed), table EQ08: employed persons in ANZSCO 2335 Industrial, Mechanical and Production Engineers, national (summed across sex and state/territory), annual average of 4 quarterly estimates.
- Median pay, 2025
- A$135,928, ABS Employee Earnings May 2025 Official statistic Report an errorAnnualised (x52) from A$2,614 median weekly earnings. ABS Survey of Employee Earnings and Hours, May 2025: median pay for full-time non-managerial employees paid at the adult rate, before tax. Surfaced via the Jobs and Skills Australia occupation profile.
View all 28 years of cited US data, each linked to its source
| Year | US employment | Annual pay (median unless marked) | Source | Report |
|---|---|---|---|---|
| 1920 | 15,000 | n/a | Est., ETHW Researched context | Report |
| 1950 | 55,000 | n/a | Est., FRASER / BLS Bulletin 1781 Researched context | Report |
| 1960 | 132,000 | n/a | Decennial Census 1960 Researched context | Report |
| 1985 | 230,000 | $38,000 | Est., BLS Researched context | Report |
| 2000 | 171,810 | $58,580 | BLS OEWS 2000 (employment) Official statisticBLS OEWS (pay) Official statistic | Report |
| 2003 | 156,780 | $62,890 | BLS OEWS May 2003 Official statistic | Report |
| 2004 | 174,960 | $65,020 | BLS OEWS May 2004 Official statistic | Report |
| 2005 | 191,640 | $66,670 | BLS OEWS May 2005 Official statistic | Report |
| 2006 | 198,340 | $68,620 | BLS OEWS May 2006 Official statistic | Report |
| 2007 | 204,210 | $71,430 | BLS OEWS May 2007 Official statistic | Report |
| 2008 | 214,580 | $73,820 | BLS OEWS May 2008 Official statistic | Report |
| 2009 | 209,300 | $75,110 | BLS OEWS May 2009 Official statistic | Report |
| 2010 | 202,990 | $76,100 | BLS OEWS May 2010 Official statistic | Report |
| 2011 | 211,490 | $77,240 | BLS OEWS May 2011 Official statistic | Report |
| 2012 | 220,130 | $78,860 | BLS OEWS May 2012 Official statistic | Report |
| 2013 | 230,580 | $80,300 | BLS OEWS May 2013 Official statistic | Report |
| 2014 | 236,990 | $81,490 | BLS OEWS May 2014 Official statistic | Report |
| 2015 | 247,570 | $83,470 | BLS OEWS May 2015 Official statistic | Report |
| 2016 | 256,550 | $84,310 | BLS OEWS May 2016 Official statistic | Report |
| 2017 | 265,520 | $85,880 | BLS OEWS May 2017 Official statistic | Report |
| 2018 | 279,550 | $87,040 | BLS OEWS May 2018 Official statistic | Report |
| 2019 | 291,710 | $88,020 | BLS OEWS May 2019 Official statistic | Report |
| 2020 | 290,190 | $88,950 | BLS OEWS May 2020 Official statistic | Report |
| 2021 | 293,950 | $95,300 | BLS OEWS May 2021 Official statistic | Report |
| 2022 | 321,400 | $96,350 | BLS OEWS May 2022 Official statistic | Report |
| 2023 | 332,870 | $99,380 | BLS OEWS May 2023 Official statistic | Report |
| 2024 | 350,230 | $101,140 | BLS OEWS May 2024 Official statistic | Report |
| 2025 | 365,740 | $102,440 | BLS OEWS May 2025 Official statistic | Report |
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