WHAT THE FLOORIS DOING NOW
The schedule says one thing and the shift does another, a change takes weeks to reach the line, and quality problems surface after the batch has shipped. We connect engineering, planning, production and quality, so the plant is visible while the shift can still change.
Where It Applies
Design to dispatchWhere ProductionActually Loses Time
Six conditions come up in almost every manufacturing conversation. In each one the information already exists somewhere in the plant and nobody can act on it in time.
The Plan and the Shift Disagree
The schedule assumes capacity the plant does not have, so the day is re-planned on the floor by whoever is standing there when it breaks.
Engineering and the Line Diverge
Engineering releases one version of the product and the line builds from another, because the change had to be transcribed between systems to get there.
Changes That Take Weeks
A change agreed in a review meeting still has to work its way through documents, approvals and work instructions before anything on the floor is different.
Production Recorded on Paper
What was made, when, and from which materials is written down and keyed in later, so traceability is reconstructed after the fact rather than captured as it happens.
Quality Found Downstream
Checks happen at the end rather than in the process, so a problem is discovered once the batch is built and sometimes once it has shipped.
Machines That Report Nothing
Equipment condition is known when somebody walks the floor or when a line stops, so maintenance runs on a calendar that is either too early or too late.
Who We Build ForAnd Where We Start
Nine teams inside a manufacturing business, each asking the same question from a different position on the floor.
Manufacturing Leaders
Performance is reported monthly, in aggregate, and by the time it arrives the month it describes is over.
One current operational picture across plants, built from the systems already in use.
Plant and Factory Operations
What the line is doing right now is known by walking it, and the record of what it did arrives a shift later.
Production visibility and shop-floor execution, so the state of the line is readable as it runs.
Production Planning Teams
Dates are committed from a plan that assumes capacity the plant cannot physically deliver.
Finite-capacity scheduling that re-plans when materials, machines or people change.
Engineering Teams
A released design has to be translated into something the plant can build, by hand, every time it changes.
Product and change management that carries a revision through to the work instructions on the line.
Quality Teams
Non-conformances are investigated after the fact, from records assembled across several systems.
In-process checks and an audit trail that exists at the moment the work happens.
Supply and Operations
Material availability, production status and delivery commitments are each accurate in a different system.
One operational layer underneath them, with the definitions agreed once.
Manufacturing Technology Teams
Each new system arrives with its own integration, and the estate gets harder to change every year.
Connecting what is already there before adding to it, with the interfaces documented.
Maintenance and Reliability Teams
Equipment is serviced on a calendar, so a developing fault is found when the line stops rather than before it.
Condition monitoring on the machines that constrain throughput, with work raised from what they report.
Continuous Improvement Teams
Improvement work starts from figures each team calculates differently, so the first weeks go on agreeing the baseline.
One reading of throughput, losses and scrap, so improvement starts from a baseline everyone accepts.
One ThreadFrom Design to Dispatch
Most plants do not lack systems. What they lack is one thread running through them, so a change at one end is visible at the other. Connected manufacturing is that thread, and it runs in eight steps.
Engineering
What the product is, which revision is current, and what changed since the last one.
Planning
What can actually be built this week, against the machines, materials and people available.
Production
Work orders released to the line with the current instructions attached to them.
Shop Floor
What each machine and operator is doing, reported as it happens rather than at the end of the shift.
Quality
Checks carried out inside the process, and non-conformances raised where they occur.
Dispatch
Finished work released against the customer order, with its production and quality record attached.
Analytics
One reading of throughput, losses, scrap and machine health that every team recognises.
Continuous Improvement
What the numbers show feeding back into the schedule, the process and the next revision.
The AcronymsIn Plain Terms
Manufacturing runs on shorthand, and the shorthand is useful once you are inside it. Here is what each piece is, the problem it exists to solve, and what changes commercially when it works.
PLM
Product Lifecycle ManagementThe single record of what a product is — its parts, drawings, revisions and bills of material. The EBOM is how engineering describes the product; the MBOM is how the plant has to build it; the BOP is the sequence of operations that gets from one to the other.
Engineering and manufacturing working from different versions of the same product, with someone reconciling the difference by hand.
The line builds what engineering actually released, and the MBOM is derived rather than retyped.
ECR and ECO
Engineering Change Request / OrderAn ECR is the request to change something. An ECO is the approved change, with the record of who agreed it and what it affects.
A change agreed in a review meeting still has to reach drawings, BOMs and work instructions before anything on the floor is different.
Shorter change cycles, and fewer parts built to a revision that was superseded weeks ago.
MES
Manufacturing Execution SystemThe system the shop floor runs on: work orders, digital work instructions, and a record of what was made, when, by whom and from which materials.
Production written on paper and keyed in later, so traceability is reconstructed after the fact rather than captured as it happens.
Paperless execution, and a genealogy record that exists at the moment an audit or a recall needs it.
APS
Advanced Planning and SchedulingScheduling against the capacity you actually have — machines, people, materials and tooling — rather than against an assumption of infinite capacity.
Delivery dates committed from a plan the plant cannot physically meet, then repaired on the floor shift by shift.
Commitments that hold, and a schedule that re-plans itself when the day changes.
IIoT
Industrial Internet of ThingsMachines reporting their own condition: run state, cycle times, energy use and faults, without anyone writing it down.
Equipment performance known only when someone walks the floor, or when a line stops and the reason is worked out afterwards.
Live machine health and utilisation, and maintenance planned on condition rather than on a calendar.
QMS
Quality Management SystemQuality checks, non-conformances and corrective actions managed inside the production flow instead of running alongside it in a separate system.
Quality confirmed at the end, so a problem is found once the batch is built and sometimes once it has shipped.
Checks enforced in-process, and the audit trail assembled as the work happens rather than in preparation for an audit.
Predictive Maintenance
Condition-based servicingModels reading machine telemetry and fault history to score each asset against its own normal behaviour and flag the ones drifting away from it.
Healthy machines serviced on schedule while the one about to fail is missed between visits.
Work scheduled against actual condition, and fewer unplanned stops in the middle of a run.
Manufacturing Intelligence
Analytics and AI over the whole threadOne analytics layer over engineering, planning, production, quality and machine data, with the definitions agreed once so two teams get the same answer.
Every team reporting from its own extract, so two answers to the same question are both defensible and neither settles it.
Questions about throughput, scrap or resource use answered from one place, while a shift can still act on the answer.
This page is the industry entry point. For the platform detail underneath it — how the PLM, MES, APS, IIoT and quality layers are put together, and the published impact figures that go with them — see Manufacturing Solutions.
What ChangesOnce the Thread Is Connected
The outcomes a plant should expect to see, stated plainly.
Reduced Production Delays
Drift between the plan and the shift is visible while there is still time to re-sequence, rather than confirmed at the end of the week.
Improved OEE
Availability, performance and quality are measured from the same machine and production data rather than estimated, so the number means the same thing twice running.
Fewer Unplanned Stops
Machines heading for a failure are flagged from their own telemetry, so the stop is scheduled rather than discovered mid-run.
Better Planning Efficiency
Schedules are built against the capacity that exists, and re-planned automatically when materials, machines or people change.
Shorter Change Cycles
An approved engineering change carries through to the bills of material and the work instructions without being retyped along the way.
Improved Production Visibility
What the line is doing is readable as it runs, by the people accountable for it, instead of reconstructed a shift later.
Better Quality Control
Checks are enforced inside the process and non-conformances are raised where they occur, so problems are caught before the batch is finished.
Improved Resource Utilization
Machines, tooling and people are committed where the schedule says they are worth the most, rather than to whichever job shouted loudest.
About the Numbers
There are no percentages attached to those outcomes here, and that is deliberate. What each one is worth depends on your product mix, the age of the plant and where you are starting from. Published impact figures for the platform layers sit on the Manufacturing Solutions page alongside the capability they belong to, which is where they can be read in context. We would rather size your own case with you against your own data than repeat a figure from somebody else’s plant.
This page is the industry view: the plant, the line and the teams around them. The capabilities underneath it are general, and each has a page of its own. AI Solutions covers the models and agents, Data & AI the platforms the production and machine data lands in, and Intelligent Automation the workflow side that moves an approval or a work order along on its own. For the reporting a plant runs on week to week there is Business Analytics, and for the same picture across sites and functions, Enterprise Intelligence. Because connecting operational technology makes it reachable, Cybersecurity belongs in the same conversation rather than after it.
What We Are Not Claiming Here
You will not find named manufacturers, client counts, factory deployments, OEE gains or case studies on this page, because we are not going to publish ones we cannot stand behind. What we can put in front of you is the connected thread described above, a reference architecture for your own plant systems, and a first phase scoped with its assumptions stated. If a named reference is what you need before going further, ask in the first conversation and we will tell you plainly what we can and cannot share.
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Read MoreReady to Connect Your Plant Operations?
Tell us where production loses most today — schedules the plant cannot meet, changes that take weeks to reach the line, quality found downstream, or machines that report nothing — and which systems hold the data. We will map what can be connected and what a first phase would involve.