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Manufacturing Collaboration

Manufacturing Collaboration

See the Whole Manufacturing Record, From Every Partner in Your Manufacturing Network.

Materials and consumption, equipment and reservations, in-process and release testing, cycle time and yield — the full manufacturing record for every batch, at the depth a real question needs. It arrives from partner MES, LIMS, QMS and ERP without anyone chasing it or re-keying it, and it builds while the batch is still running rather than landing once it is over. Every record sits against the purchase order the batch was made for.

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In This Solution

The Complete Batch Record

Materials, equipment, testing, cycle time and yield together.

Live Batch Status

Configurable states with counts, planned to released.

Planning Milestone Tracking

The full date chain, planned against actual.

Data That Arrives On Its Own

Ingested from partner MES, LIMS, QMS and ERP.

Configurable Status Models

Each sponsor network defines its own states.

The Challenge

The Data Exists. It Just Doesn't Reach the People Who Need It.

Every detail of a batch is recorded somewhere — in the partner's MES, LIMS, QMS and ERP. Almost none of it reaches the sponsor. What crosses the boundary is a status slide and a PDF, produced by hand, on request, after the fact.

Why Existing Approaches Fall Short

A Summary, Not the Record

What arrives is a status slide, not the materials, equipment, tests and yield behind it. The moment a real question comes up, the detail has to be requested.

Chased, Not Delivered

Nothing moves on its own. Every update is asked for, assembled by a person, and re-keyed at the other end.

Late By Construction

Batch data lands when the batch is finished, so problems get reviewed after the event instead of intercepted during it.

What It Costs Sponsors, CMOs, and CDMOs

Sponsors

A question about a batch takes days to answer, because the answer sits in a system they cannot reach.

CMOs and CDMOs

The same data is extracted and reformatted for every sponsor request, on top of actually running the plant.

Both Sides

Effort goes into moving data between two organisations instead of into using it.

The Solution

Every Batch, in Full, Without Asking for It.

Collabrix ingests batch manufacturing data from partner MES, LIMS, QMS and ERP in a standard message format and presents it as one governed record per batch — complete, current, and visible to both sides at the same time.

The full record, not a summary

Materials and consumption, equipment and reservations, in-process and release testing, cycle time and yield — held together against the batch, at the depth an investigation needs.

Delivered, not requested

Data is ingested from partner systems on defined triggers. No portal logins, no email requests, no re-keying at either end.

Current while the batch runs

The record builds during execution rather than at the end, so a question can be answered while the batch is still in the plant.

Sourced and governed

Every field carries the system it came from and the time it was last updated, and role-based access decides what each user sees.

Business Value

Answers From the Record, Not From a Request.

Faster disposition icon

Answers in minutes, not days

A question about a batch is answered from the record, instead of being routed to the partner and waited on.

Less manual work icon

Less manual reporting

Partners publish batch data once, instead of extracting and reformatting it for every sponsor who asks.

Shared visibility icon

Problems caught during execution

Because the record is current, issues are intercepted while the batch is running rather than reviewed afterwards.

Audit-ready records icon

Release readiness in view

Testing and documentation progress is visible ahead of the release decision, not at it.

The Workflow

How Manufacturing Collaboration Works.

One shared batch record, assembled from partner systems as the work proceeds — from the first feed mapped to a complete, sourced manufacturing history.

1

Partner systems publish batch data

MES, LIMS, QMS and ERP feeds are mapped once per integration and pre-processed into a standard message format, whatever shape they arrive in.

2

The batch record assembles itself

Materials, equipment, testing, cycle time and yield land against the batch as the work proceeds, each field carrying the system it came from.

3

Planning dates are tracked against target

Manufacturing milestones — from raw material release through batch record issuance, manufacture, release testing and inspection — are held with both planned and actual dates.

4

Status advances through the configured model

Each batch moves through the states that sponsor network defined for itself, and the live counts update with it.

5

The record stands as the manufacturing history

Complete and sourced, so a batch can be reconstructed from what is held rather than reassembled from what people remember.

Inside Mosymphony

Where Manufacturing Collaboration Happens.

The Manufacturing Collaboration dashboard is where the assembled record is read — counts by batch state across the network, and a detail view per batch covering planning, materials and consumption, in-process and release testing, equipment, cycle time and yield.

Quality Collaboration inside Mosymphony

Standardized ingestion

Each incoming dataset is pre-processed into a standard message format, whatever system it came from.

Standardized outbound messaging

Outbound data leaves as a standard message, on defined triggers, to the systems that consume it.

Broad system integration

Data is drawn from ERP, MES, QMS and LIMS across the sponsor and partner estate.

Role-based governance

What a user can see, and what they can act on, are both controlled by role.

Related Solutions

Related Solutions

Manufacturing Collaboration covers the batch manufacturing record. The neighbouring solutions pick up the order that precedes it, the shipment that follows, and the quality record that runs alongside.

Technology Transfer

Challenge

Technology transfer scattered across files — risks errors and delays.

Outcome

Faster, cleaner transfers with less rework.

Read More

Forecast Collaboration

Challenge

Partners plan against outdated or informal demand signals.

Outcome

Accurate capacity planning with fewer supply gaps and less excess.

Read More

Procurement Collaboration

Challenge

Procurement and changes handled over email cause misalignment.

Outcome

Partners stay in sync and procurement moves faster.

Read More
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