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free · open · original · reviewable

Industrial engineering, learned and built in the open.

The know-how that makes work better should not sit behind paywalls, in sales decks, or in the heads of people about to retire.

Why it exists

Industrial engineering is growing.The way people learn it has not kept up.

01 · scattered

Good material sits behind paywalls, in journals or in sales pitches. What is free is usually one course or one topic, often frozen years ago.

02 · no practice

Methods only turn into skill through practice on real problems. There are few places to get that practice.

03 · retiring

Plants are losing the people who know how the work really runs. Often before anyone has written it down.

The IE Hub is an open answer: the whole field mapped, taught for free, practised on data anyone can rerun, checked in public, improved by the people who use it.

Why open source. Knowledge that improves how work gets done should be free to read, check and build on. Every course, dataset and line of code here can be inspected, corrected and reused, even commercially (content CC BY 4.0, code MIT; see the licence). Being open is how it stays honest: mistakes are visible, and anyone can fix them.

What's here

live

Learn

Open courses with datasets you can rerun, a learning path by role and a mind map of the field.

Browse the catalog →
coming

Projects

Worked cases from the courses, followed from problem to result, with simulated data you can rerun.

On the roadmap →
coming

Insights

Plain-language notes: how a problem was solved, a research paper explained, a tool reviewed.

On the roadmap →
coming

Collaborate

Review a course, propose one of the open topics, or start a project together.

On the roadmap →

Find your way in

Students

Work through open courses at your own pace, starting from the fundamentals, and rerun every worked example with the same data.

Start learning →

Working engineers

Pick your role, such as quality or industrial engineer, and follow a learning path built on that occupation's official profile.

Learning paths →

Reviewers and authors

Check a course against the public review checklist and be credited as its reviewer, or write one of the 69 topics that have no course yet.

How review works →

Teams and partners

Bring a problem, a dataset or a project idea to build in the open.

Coming with Collaborate →

Where it is going

now

Trust

Getting the first courses reviewed and verified by named reviewers, with credit.

next

Projects and Collaborate

Worked projects from the course cases, and a page of open requests you can pick up.

Full site roadmap →