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Plant Intelligence · 04

Quality Data and Traceability from the Systems That Run the Line

Metromotion Controls captures quality and traceability records from the same PLC and SCADA systems that run the line, so QA managers get checkweigher results, inline checks, batch records and lot genealogy without a second data-entry job.

How we approach it

Engineered for your site and support model

Quality teams in food plants spend a surprising share of their time transcribing: copying checkweigher printouts, matching lab results to batches and hunting paper records when a customer asks for a trace. Most of that information already passes through the control system. Metromotion Controls connects checkweighers, metal detectors and inline instruments, records batch events from ISA-88 recipes and PLC logic, and stores them with the production context so QA can find, check and report on them directly.

01
Checkweigher, metal detector and inline instrument data capture
02
Quality checks and holds recorded against batch and SKU
03
ISA-88 batch records with validated routes and ingredients
04
Lot genealogy from ingredients to finished pallets
05
Lab results joined to production context
06
Trace queries for recall readiness
Delivery context

Platforms and vendors

  • Ignition
  • SQL databases
  • Rockwell
  • ISA-88 batch control
  • Checkweigher and metal detector interfaces
  • Lab data imports

Relevant experience

  • Cobs Fine Foods: checkweigher, metal detector and line equipment connected to Ignition at PLC level.
  • Real Pet Food: ISA-88 batch control with recipe phases and route and ingredient validation, from production scheduling through to live plant-floor batch visibility.
  • Tibaldi: stock movements recorded from PLC events into a SQL database across raw material, work-in-progress and finished goods, improving traceability.
  • Chobani: production data contextualised with results from lab equipment and other external sources.
Section 01

Quality data captured at the line

Checkweighers, metal detectors, X-ray units, vision systems and inline instruments all produce results the control system can read. Captured at the line, each result is stored against the batch, SKU and time it belongs to, and a failed check can raise an alarm or a hold while the product is still on site.

  • Checkweigher results by SKU: weights, rejects and giveaway against the target.
  • Metal detector and X-ray rejects and test-piece checks, with times and outcomes.
  • Inline measurements such as temperature, Brix, pH or viscosity, where the instruments exist.
  • Operator checks entered at the HMI against the batch, instead of on paper.
  • Holds and releases linked to the lot they apply to.
Section 02

Lab results joined to production context

Lab results are most useful when they sit beside the production data they describe. We join them to the batch, line and time window, so a quality trend can be read against the process conditions and stops that preceded it. At Chobani, the data platform brings in results from lab equipment and other external sources for this reason.

Section 03

Batch records and lot genealogy

Genealogy starts in the control logic. Where batching follows ISA-88, each recipe phase records what was added, from which source, by route and quantity, and each finished lot records the batches that fed it. We structure this the way we structured the Real Pet Food batch control, where the route and ingredient were validated at each step, so the record reflects a confirmed path rather than an assumed one.

  • Ingredient lots consumed, recorded against the batch and the recipe phase.
  • Transfer routes and sources validated and logged at each step.
  • Finished lots linked to the batches, line and shift that produced them.
  • Packaging lots and date codes recorded at the filler or labeller.
  • Stock movements recorded from PLC events, as at Tibaldi.
Section 04

Recall readiness

When a customer or regulator asks for a trace, the question is which finished lots contain a given ingredient lot, or which ingredient lots went into a given pallet. With genealogy captured from the line, that trace runs as a query against recorded events instead of a search through paper batch sheets. The same records support the mock recalls most food safety programs require.

Section 05

What the data enables next

Once quality results are captured with context, they support more than a record. Statistical process control charts, integration with a laboratory information management system (LIMS) and electronic batch records can all be built on the same data. We scope these as a next stage for each site, after the core records are captured and trusted, rather than as the first step.

Frequently Asked Questions

Common questions

Can checkweigher and metal detector data go into our reporting?

Yes. At Cobs Fine Foods we connected checkweighers, metal detectors and other line equipment to Ignition at PLC level. Results are stored with the SKU and time, so they can be reported by batch and shift.

How do you build lot genealogy?

From events the control system already handles: ingredient additions, transfers, batch completions and packing. Where batching follows ISA-88, each recipe phase records its inputs, and finished lots are linked to the batches that fed them.

Do you provide SPC or LIMS software?

We capture and structure the quality data those tools need, and can scope SPC charting or a LIMS interface as a later stage. We do not sell a quality software product.

Does this replace our QA system?

No. It feeds it. The site quality system keeps its procedures and approvals, and the control system supplies accurate records without a second data-entry job.

Related Work

Connected services, industries and proof

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CIP verification and CCP temperature records logged per cycle and per batch, ready for an auditor.

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Reliable plant data

The right tag for each count and one meaning for each state, validated against the line and placed in context.

Insight

Batch control and ISA-88 for food manufacturers

A practical guide to ISA-88 batch control covering the procedural model, equipment mapping and traceability.

Project

Cobs OEE data platform

OEE data platform and line integration for production performance reporting.

Project

Real Pet Food raw materials handling

Pet food raw materials automation covering batching, handling and production control requirements.

Project

Tibaldi automated inventory management

Automated inventory tracking integrated with production controls for real-time stock visibility and traceability.

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Chobani greenfield yoghurt plant

Large capital project delivery across process automation, electrical engineering and commissioning.

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Ignition SCADA integrator Melbourne

Ignition Gold Certified System Integrator for Ignition SCADA, historian, reporting and MES functions.

Industry

Food and beverage automation Australia

Automation, traceability, CIP, SCADA and production data for Australian food and beverage plants.

Industry

Pet food automation

Batch, recipe, work order, CCP and OEE systems for pet food manufacturing environments.

Industry

Packaging line automation Australia

Conveyor and line control, PackML-aligned states, changeovers, inspection and packaging OEE data.

Related work

Related project proof

Project

Cobs Fine Foods

Cobs Fine Foods is one of Australia's leading premium snack manufacturers. The business needed real-time production data from all line equipment, including checkweigher and metal detector systems, connected to a centralised OEE platform provided by a third-party vendor. Metromotion Controls designed and delivered the automation integration layer, connecting each line asset to Ignition, capturing data at PLC level, and passing it upstream to the OFS OEE platform. The project included full network architecture design, device configuration, and the PLC logic required for clean, consistent data capture across the line.

Project

Real Pet Food Company

Real Pet Food Company needed automated raw materials handling with stronger batch traceability and scheduling, across a plant where mechanical, electrical and automation scope all had to be brought together by one team before startup. Metromotion Controls structured the batch control to ISA-88, breaking each product into recipe phases and validating the transfer route and ingredient at each step so material moved against a confirmed path rather than an assumed one. The team supplied, installed and commissioned the system, coordinating mechanical, electrical and automation scope through simulation, FAT and startup.

Project

Tibaldi

Tibaldi needed better stock visibility as production volumes increased and manual stock tracking struggled to keep pace with rising throughput. Metromotion Controls implemented automated inventory management integrated with the existing production controls, taking stock movements directly from PLC events into a SQL database rather than relying on manual entry. This kept the inventory record in step with what the line was actually doing, reducing manual entry and improving stock traceability as throughput grew.

Related pages

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