[OEE]

OEE Software for Manufacturing

OEE tracking computed from production and downtime data - Availability x Performance x Quality on the same database as work orders, scheduling, and the shop floor.

OEE (Overall Equipment Effectiveness) software measures how much of your planned production time actually turns into good parts by multiplying three factors: Availability x Performance x Quality. WorkCell computes OEE from the production and downtime data your operators already log on the shop floor, so the number reflects what really happened at the machine instead of a spreadsheet someone backfilled on Friday.

Sound Familiar?

OEE Numbers Nobody Trusts

When availability, performance, and quality are tallied by hand from paper run sheets, the OEE figure that lands in the Monday meeting is already a week old and rounded to whatever made the shift look fine.

Downtime That Never Gets Coded

Most shops know a machine was down but not why, so the largest OEE loss bucket stays a mystery and the same recurring stoppage burns capacity month after month.

Performance Loss Hidden in the Cycle

A machine running at 80% of its ideal cycle time looks busy on the floor but quietly bleeds throughput, and without an ideal-rate baseline that slow-cycling loss never shows up anywhere.

Quality Counted Separately From Output

Scrap and rework get logged in a different system than production counts, so the quality factor in OEE is a guess and first-pass yield never reconciles against actual good parts shipped.

Core Capabilities

OEE From Production Data

OEE is computed from the quantities and run times operators log against each work order operation, so Availability x Performance x Quality is derived from real shop floor records rather than entered as a standalone metric.

Operation-Level Run and Cycle Tracking

Hierarchical work orders carry resource and costing data at the operation level, giving each step an ideal cycle baseline so performance loss against that rate can be calculated instead of assumed.

Downtime Capture on the Floor

Operators clock into work orders from a terminal or tablet and log stoppages and issues, building the availability picture and a downtime reason trail that feeds the OEE availability factor.

Quality and Scrap Linked to Output

AQL inspection templates, multi-type inspections, and NCR tracking tie scrap and rework back to the same production counts, so the quality factor reflects good parts versus total parts made.

Finite Scheduling on Real Capacity

The finite APS scheduler sequences work against actual machine and labor capacity, so the planned production time that OEE measures against reflects a realistic baseline, not an infinite-capacity calendar.

Dashboards Off Your Own Data

A dashboard builder lets you assemble OEE and downtime views from production records across machines, lines, and shifts so you can see which loss bucket is costing the most capacity.

By The Numbers

85%

OEE is the commonly cited world-class benchmark for discrete manufacturing

Nakajima, Introduction to TPM (Japan Institute of Plant Maintenance)

60%

is a typical OEE score for many manufacturing plants, leaving substantial hidden capacity

Nakajima, Introduction to TPM (Japan Institute of Plant Maintenance)

6

major loss categories drive equipment effectiveness across availability, performance, and quality

Total Productive Maintenance Six Big Losses (JIPM)

Common Questions

What is OEE software?

OEE software measures Overall Equipment Effectiveness, the share of planned production time that produces good parts at the ideal rate. It calculates OEE as Availability x Performance x Quality from production and downtime data, where Availability is run time versus planned time, Performance is actual output versus the ideal cycle rate, and Quality is good parts versus total parts produced. WorkCell derives these factors from the work order run times, quantities, and stoppages operators already capture on the floor.

How is OEE calculated?

OEE is the product of three factors. Availability divides actual run time by planned production time. Performance divides actual count by the count you would expect at the ideal cycle time for that run time. Quality divides good parts by total parts produced. Multiply the three together and you get a single percentage, so a line at 90% availability, 95% performance, and 99% quality runs at roughly 85% OEE.

What is a good OEE score?

An OEE of 85% is the figure widely cited as world-class for discrete manufacturing, while many plants run closer to 60%. The more useful comparison is your own line against itself over time, because chasing a single benchmark hides which of the three factors is actually losing you capacity.

What is the difference between OEE and TEEP?

OEE measures effectiveness against planned production time, so it excludes time you intentionally chose not to run. TEEP (Total Effective Equipment Performance) measures against all calendar time, including unscheduled shifts and weekends, so it tells you how much total capacity the asset could theoretically deliver versus how much you currently schedule.

Does WorkCell give me a live OEE dashboard?

WorkCell computes OEE tracking from the production and downtime data captured on the shop floor and lets you build dashboard views from that data with the dashboard builder. It is OEE derived from your real work order records, so the accuracy depends on operators logging run times, counts, and stoppages, rather than a separate sensor-fed plant monitoring product.

Who is WorkCell OEE tracking built for?

It is built for small and mid-sized manufacturers, roughly 10 to 500 employees, who run discrete or mixed production and want effectiveness numbers without standing up a separate machine-monitoring system. Because OEE is computed from the same database that runs quoting, work orders, inventory, and scheduling, you get the metric without re-keying data into a standalone tool.

[Get Started]

OEE Software for Manufacturing

See OEE tracking computed from the production data your floor already captures.