Optimize real manufacturing, warehouse, and supply chain systems — Lean, Six Sigma, operations research, simulation, inventory management, line balancing, and statistical process control. 17 core modules, 5 complete real-project case studies (assembly line optimization, warehouse layout redesign, Six Sigma defect reduction, supply chain network redesign, kanban implementation), a 12-template documentation kit, and a certificate of completion. One-time purchase, no account required.
Explore the Full Curriculum →Not usually for day-to-day work — much industrial engineering is not life-safety design that requires a stamp. But the FE and PE Industrial and Systems credentials are valued for consulting, public-sector, and senior positions, and licensure is required to call yourself a "Professional Engineer" and to offer engineering services to the public in most states.
It depends on your role. A Lean Six Sigma Green or Black Belt maps directly to continuous-improvement project work and is the more common industry currency. A PE carries legal and professional weight for licensure-gated roles. Many industrial engineers pursue a belt first and add the PE if their career path rewards it.
The FE Industrial and Systems is a 110-question, six-hour, computer-based exam covering mathematics and statistics, engineering economics, modeling and optimization (linear programming, queuing, simulation), manufacturing and production systems, facilities and logistics, work design and ergonomics, quality (SPC and Six Sigma), and ethics. It is open-reference using only the NCEES FE Reference Handbook.
ASQ (American Society for Quality) certifications such as the CSSGB require documented work experience and tend to be open-book; they are long-established and widely recognized in quality circles. IASSC (International Association for Six Sigma Certification) offers provider-neutral, closed-book exams with no experience prerequisite. Both certify the same DMAIC body of knowledge — choose based on your employer’s preference and whether you can meet the experience requirement.
With focused study, most candidates prepare for a Green Belt in two to three months alongside a real improvement project. ASQ’s CSSGB also expects roughly three years of relevant work experience; IASSC’s Green Belt has no experience requirement, so it can be earned purely on exam performance.
Why a perfectly repeatable measurement can still be completely wrong. Four-quadrant scatter comparison plus a real calibration-drift example: a pressure gauge that's precise but reads 5% high.
Three different answers to "how reliable is it?" Why a high MTBF doesn't guarantee high uptime without also knowing MTTR — illustrated with an up/down timeline and two systems with identical MTBF but very different repair times.
Three different clocks running on your line. Why a station with excellent cycle time everywhere can still leave you with a terrible lead time — illustrated with a bottleneck bar chart against the takt line and a value-stream timeline dominated by queue waits.
"Did we build it right?" vs. "did we build the right thing?" Why a product can pass every verification test against its own spec and still fail validation against the real customer need — illustrated with a spec-vs-product-vs-real-need diagram and a concrete IP54-enclosure failure case.
Bottom-up vs. top-down reliability thinking. Why FMEA's one-component-at-a-time sweep can miss failure combinations that Fault Tree Analysis's AND/OR logic gates are built to reveal — and why safety-critical systems use both together.
Why a process can post an excellent Cp and still be quietly manufacturing defects. Illustrated with an identical tight distribution shown first well-centered, then shifted off-target — Cp stays flat while Cpk collapses.
Why Kanban cards let downstream demand control the line, not a forecast. Illustrated with a push system piling up work-in-process against a stalled downstream station, against a pull system whose WIP is hard-capped by the number of Kanban cards in circulation.
Why maintaining on a fixed schedule isn't the same as maintaining based on actual condition. Illustrated with a preventive timeline that can waste remaining life or miss an early failure, against a predictive trend line triggered by a real measured threshold crossing.
Why a machine can run 100% of its scheduled time and still post a terrible OEE. Illustrated with an 8-hour shift cascaded through three multiplied losses, and two machines that land on the same 60% OEE for opposite reasons — one a downtime problem, one a quality problem.
Why a station can have perfectly clear, detailed work instructions for every task and still have zero Standard Work. Illustrated with a triangle diagram — takt time, work sequence, and standard WIP — with work instructions plugged in as supporting detail, not a fourth peer.
Both stop defects — but at different points in time. Illustrated with an asymmetric locating fixture that makes a wrong-orientation part impossible to seat (poka-yoke), against an andon-triggered auto-stop that catches an abnormality immediately after it occurs (jidoka).
Why EPQ always recommends a bigger lot size than EOQ for the exact same demand. Illustrated with two inventory sawtooth charts — an instant spike-and-decline for a purchased lot against a gradual ramp-and-decline for a manufactured lot, where demand eats into the batch while it's still being produced.
A 12-section interactive reference covering lean and the 8 wastes, Six Sigma DMAIC, OEE, takt/cycle time and line balancing, Little’s Law and the Theory of Constraints, SPC and process capability, inventory (EOQ/EPQ/ROP/safety stock), queuing theory, CPM/PERT, forecasting, and a master formula quick-reference. First 3 free to preview.