Manufacturing operations

Make material movement, production progress and quality evidence visible as work happens.

Flatorb connects raw materials, work in progress, operators, equipment and quality events to one controlled operational history—without forcing the factory to replace every system it already uses.

Workflow-led engineeringSoftware, devices and integration

MaterialTrace inputs and consumption
WIPSee progress between operations
QualityCapture checks and exceptions
OutputConnect finished goods to source

Operational truth must move at the speed of production.

When production records arrive after the shift, teams manage the factory through calls, spreadsheets and incomplete assumptions.

Flatorb places identification and workflow control at the points where material is issued, transformed, inspected, held, reworked and completed. Reliable events can then update manufacturing, inventory, ERP, quality and analytics systems.

01Physical input

Material enters a controlled operation.

Batch, serial, quantity, location, order and operator context are identified before work begins.

02Production control

Progress and exceptions are recorded in sequence.

Consumption, output, downtime, inspection, hold and rework events follow the approved workflow.

03Business evidence

Trusted records reach planning and management.

Completed events update inventory, production, quality, costing and customer traceability.

Control the factory events that spreadsheets cannot see in time.

The strongest starting point is usually one production flow where missing identity, late reporting or manual reconciliation creates measurable loss.

01MFG

Raw-material issue and consumption

Verify the right material, batch and quantity at issue and record actual consumption against the production order.

  • Batch identity
  • Issue control
  • Consumption
02MFG

Work-in-progress visibility

Track units, batches or containers between operations without depending on end-of-shift summaries.

  • WIP status
  • Location
  • Queue time
03MFG

Quality checkpoints and holds

Require selected inspections, capture evidence and prevent held material from advancing unintentionally.

  • Inspection
  • Hold / release
  • Evidence
04MFG

Finished-goods genealogy

Connect finished output to source material, production events and quality history for investigation and service.

  • Genealogy
  • Serial / batch
  • Traceback
05MFG

Downtime and exception response

Capture reason, ownership and response around stoppages, shortages, defects and rework.

  • Reason codes
  • Escalation
  • History
06MFG

ERP and equipment integration

Exchange governed production and inventory events with existing systems and selected machines.

  • ERP / MES
  • API
  • Machine events

Build one operational layer across material, production and quality.

Combine the Flatorb capabilities required by the process rather than buying disconnected point tools for every checkpoint.

Connect shop-floor events to the systems that plan and account for production.

Flatorb can act as the operational layer between people, materials, devices and existing business platforms—preserving the right system of record while improving the evidence it receives.

Inputs & eventsProduction orders and BOM contextMaterials, batches and serialsOperators, equipment and locationsScans, RFID, sensors and machine signals
Flatorb operational layerValidate material and operationRecord progress and exceptionsEnforce quality and hold rulesMaintain genealogy and accountability
Outputs & systemsERP / MRP inventory eventsQuality and traceability recordsMaintenance or downtime tasksDashboards and management alerts

Choose capture technology around the factory condition.

Barcode and QR provide deliberate low-cost control; RFID can automate selected movements; IoT captures machine or environmental state; integration joins the resulting evidence to enterprise systems.

Prove one production flow, then scale the operating model.

Flatorb maps the real floor process, establishes the identifiers and decision rules, proves them with users, then extends the same governed model across lines, products or sites.

01
Workflow study

Observe material, WIP, quality and information movement at the real control points.

02
Traceability design

Define identities, genealogy, statuses, exceptions and authoritative records.

03
Pilot and validation

Prove capture reliability, user fit and system outputs with representative production.

04
Scale and support

Train teams, monitor adoption and extend stable patterns across the operation.

Questions teams ask about Manufacturing.

Clear answers for early evaluation, internal discussion and implementation planning.

01Does Flatorb replace an ERP or MES?+

Not necessarily. Flatorb can control physical execution and send dependable events to an existing ERP, MES, quality or maintenance system. The boundary is defined around the current architecture and operating gap.

02Can the solution trace batches and serial numbers?+

Yes. Batch, serial, order, material, operator, equipment and location relationships can be captured where the process requires them.

03Can we start with one line or product family?+

Yes. A bounded flow is often the best way to prove identifiers, controls, integration and measurable value before scaling.

04Does manufacturing automation require RFID?+

No. Barcode, QR, RFID, IoT, machine interfaces and user confirmation are selected according to the event, environment, accuracy and return on investment.

05Can quality holds prevent further movement?+

A configured workflow can restrict or flag selected transactions until the required review and release evidence exists. The exact control depends on the system boundary and operating policy.

Show us the production event that becomes visible too late.

We will map the material, operator, equipment, quality and system context around that event, then define a practical first implementation.

A useful first conversation30 minutes around one physical workflow
  • What moves, changes state or requires proof?
  • Where does the current record become late or unreliable?
  • Which users, customers and systems depend on it?
  • What measurable outcome would justify action?
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