Request Demo

differentiated capabilities

Model Complex Manufacturing – Without Coding

Model your entire manufacturing operation — workflows, resources, quality, and compliance — configured, not coded, with built-in change control. Multi-level assemblies, specialized processing steps, and strict validation requirements are represented with the same fidelity as the real process, so every operator, every time, executes against one accurate, repeatable, and compliant definition of how work gets done.

Request Demo

The Problem

Why shallow process models break down in complex manufacturing

Generic MES configurations and hard-coded customizations can represent a simple linear process. They struggle the moment real manufacturing complexity shows up — and that struggle becomes risk.

oversimplified, generic routings

Routings forced to fit a generic, one-size-fits-all system don’t reflect reality on the floor — and a plan or schedule built on them can’t be trusted, however sophisticated the algorithm behind it.

wrong experts in the loop

Hard-coded customizations need specialist developers to build and maintain — cost and lead time manufacturing can’t keep pace with. And those developers aren’t process experts. The people who know the routing should configure it directly.

test-to-production copy risk

Processes validated in a test system have to be copied across to production — breaking the development audit trail at exactly the point it matters most, and adding time and risk to every release.

version drift

Custom code and the “as-designed” process quietly diverge. No one can say with confidence what is actually enforced on the floor versus what was originally specified.

fallback to paper & judgment

When the system can’t represent multi-level assemblies, specialized steps, or alternate routings, manufacturers fall back to paper travelers and operator judgment — exactly where repeatability and compliance break down.

How it works

How deep process representation works

Step 1

Model & validate the process

Configure multi-level BOMs, routings, resources, specifications, and quality gates in a visual workflow designer — no code required. Every change progresses through Virtual Test → Pre-Production → Production stages, e-signed and version-locked at approval, with BOM version and workflow version controlled together as a single recipe.

Step 2

Plan & schedule

Detailed planning and scheduling optimizes manufacturing down to the individual machine or labour resource — built on the same validated process model, not a flattened approximation.

Step 3

Enforce at execution

What’s approved is what’s enforced. Operators are guided step-by-step; the system — not a paper instruction — prevents deviation. Critical controls including skill requirements, checklists, tool calibration are enforced to ensure compliance.

Step 4

Capture actuals

Every transition, parameter, resource, and result is captured automatically as work happens — no manual transcription. Data required for an auditable, regulatory-compliant record is stored automatically with an irrefutable, immutable e-signature — an automated outcome of the process, not a separate step. Live visibility of progress is reflected straight back into planning and scheduling, allowing live optimization.

Step 5

Improve the model

Performance data feeds back into the process definition and into planning, closing the loop on continuous improvement.

capabilities

What deep process representation means in practice

multi-level bom & routing

Represent complex, multi-level assemblies and sub-assemblies, alternate routings, and co-/by-products natively — not as a flattened approximation that loses the detail that matters.

no-code workflow designer

Build and change production workflows through configuration — drag, drop, and parameterize. Process owners iterate directly; engineering time is freed for higher-value work.

resource & skills monitoring

Labor qualifications, tooling, machine capability, and auxiliary resources — space, power, subcontractors — are modeled as part of the process, not bolted on afterwards.

process parameters & specification control

Critical process parameters, specifications, and tolerances are attached directly to the workflow step and enforced at execution — not left to a separate document.

built-in change control & versioning

Every change to workflow, BOM, or specification is version-controlled, e-signed, and time-stamped — full history of what changed, when, and who approved it, with no parallel change-management system to maintain.

process validation lifecycle

The same process definition progresses through Virtual Test, Pre-Production, and Production stages inside one system. Evidence of every stage is retained in place — no copying between test and production environments.

Specialized & Alternate Processing Steps

Model specialized processing steps, rework and repair routings, non-conformance handling, and split/partial batch handling with the same rigor as the primary routing — exceptions are controlled, not improvised.

standardized, repeatable execution

Operators execute the same validated workflow every time, on every shift, at every site. Standardization is enforced by the system — not dependent on training or memory.

Single Model for Compliance & Improvement

One process definition drives both the compliance record and the operational data used for improvement — no reconciliation between a compliance system and an operations system.

continuous improvement

Supporting the continuous improvement cycle

Every run makes the next one better

Because the process model is also the point of execution, every operation captures real performance data automatically — cycle times, yield, scrap, deviations, resource utilization — against the exact step, parameter, and resource that produced it. Nothing is inferred after the fact.

capture

Cycle time, yield, scrap, and deviations captured automatically against every workflow step, in real time.

analyze

OEE/OLE, SPC, and ADS™ analytics surface where the process underperforms the model — by line, shift, product, or operator.

standardize

Findings translate directly into a workflow, BOM, or parameter change — configured and validated in the same system that runs production.

improve

Updated process definitions are enforced immediately at the next execution — no re-training lag, no operators working from a superseded revision.

Root-cause visibility built into the model

Because every step, parameter, and resource is recorded against the process that defines it, a deviation is never a mystery to be reconstructed after the fact — it is traceable to the exact point of origin.

full genealogy

Every component, lot, and operation is linked, forward and backward, through the process model.

deviation management

Non-conformances are captured against the specific step and parameter that triggered them, with disposition tracked in place.

spc trending

Statistical process control on the same parameters defined in the model — drift is visible before it becomes a defect.

configuration only fixes

The corrective action is a configuration change to the model, version-controlled and immediately enforced — not a code release.

planning & scheduling

Fueling detailed, sophisticated, and optimized planning & scheduling

A schedule is only as good as the model of the factory it’s built on. Because Eyelit’s process representation captures every constraint that actually governs production — not a flattened, standard-time approximation — that same model becomes the input planning and scheduling need to build schedules that are both optimal and executable.

complete constraint modeling

Multi-level BOMs, alternate routings, skills, tooling, and specialized steps modeled once and reused directly as scheduling constraints — not re-modeled or approximated in a separate planning tool.

real process durations

Actual times captured at execution replace static ERP standard times as the basis for future schedules. Plans reflect what the factory achieves, not what it was costed to achieve.

feasible & executable plans

Because the schedule is built from the same constraint model enforced at execution, released work orders are already resolved against skills, tooling, and routing — what’s scheduled is what can run.

optimized, not just feasible

The rich constraint detail captured in the process model gives the optimization engine what it needs to balance competing objectives — utilization, cost, lead time — at the level of detail complex manufacturing actually requires.

compliance coverage

Compliant by construction, across regulated sectors

21 CFR Part 820 / QMSR

Process representation embodies the Device Master Record (DMR), enforced at execution — not referenced as a document at audit time.

ISO 13485:2016

Version-controlled process definitions satisfy design and production record requirements for medical device QMS.

AS9100D / NADCAP

Specialized processing steps and strict validation requirements for aerospace, defense, and space are modeled and enforced natively.

EU MDR 2017/745

Full traceability from process definition through execution supports the technical documentation EU market authorization requires.

Quote Manufacturers don’t get to choose between accurate and fast. Deep process representation delivers both — because the same model that produces a compliant record is the model that drives an optimized schedule, and the next improvement cycle. — Eyelit Technologies

GET IN TOUCH

Ready to get started?

The compliant, paperless Device History Record, built into execution

Request a Demo

Resources

Eyelit Technologies logo in white

Optimize factory operations and multi-factory supply chains with intelligent planning, scheduling, and execution.

Request Demo

Industries

Quick Links

Stay informed on manufacturing innovation

Get the latest insights on smart manufacturing, product updates, industry events, and upcoming webinars—delivered straight to your inbox.

© 2026 Eyelit Technologies | Privacy Policy