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Solutions OEE & production losses
Manufacturing / solution example

Find the loss behind the performance number.

Connect effectiveness measures to the stops, speed losses, and quality events behind them.

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OEE & production losses
OEE & production losses - illustrative connected workflowAvailabilityDefined in contextPerformanceDefined in contextQualityDefined in contextxxLoss minutesEvent evidence80Stops40Setup25SpeedRecurring feed stopLine 2 / Shift BReview the source
Illustrative workflow and data. The implementation follows your business rules.
The business problem

An average can hide the machine or shift that needs attention.

Connect production counts, timing, and loss classifications. Let a team move from plant-level effectiveness to a specific machine, shift, or event without losing the scope of the analysis.

01

Define the measures

Make planned time, runtime, standard rates, good output, and included loss categories explicit.

02

Locate the dominant loss

Compare plants, machines, shifts, and products using the same definitions and scope.

03

Inspect the evidence

Drill into stop records, production history, quality losses, and recurring patterns before choosing an improvement.

The workflow in practice

Start with the loss that matters most.

A loss ranking gives the team somewhere concrete to investigate. Machine, product, shift, and source-event context remain part of that investigation.

Illustrative loss Pareto: 80, 40, 25, 15, and 10 minutes across five loss reasons.LOCATE THE LOSS, THEN INSPECT THE EVENT.Loss minutesCumulative share0408080Stops40Setup25Speed15Scrap10Rework100%50%
Illustrative workflow and quantities, not customer results. On smaller screens, scroll the diagram to inspect the detail.
From source records to a decision

A decision you can trace.

A line has a lower OEE than its peers. The loss view separates a recurring stop from a slower product mix.

Effectiveness

Availability x performance x quality

Loss ranking

Stops, setup, speed, scrap, and rework

Evidence

Machine, shift, product, and event records

Illustrative scenario, not measured customer results.
A useful role for an agent
Is this a recurring stop problem or a product-mix difference?

An agent can compare the same operating scope and gather the relevant events. It should distinguish an observed association from an established cause.

Keep the decision with the right person.

The production team validates the interpretation and chooses the improvement action.

Designed around your business

Your data.
Your rules.
A connected system.

Capture the requirements and definitions in project context. Connect the relevant records. Use agents to develop the interfaces, calculations, tools, and workflows on managed infrastructure.

Planned-time definitionStandard-rate validityIncluded downtimeShift and product scope
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Production history

Output, runtime, products, and valid standards

Downtime events

Start/end times, stop reasons, and inclusion rules

Quality records

Good output, rejects, rework, and shift context

Applications, APIs, data, and agents on Vortexify.
Useful things to trackOEE componentsLoss minutesRepeat-stop frequency
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Build around your work.

Start from your own requirements, use research and design references where helpful, and choose how your team wants to build.

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