Convect AI
Electronics Manufacturing · AI planning agents

High-mix electronics, scheduled without the chaos

SMT, through-hole, test and box build — Convect understands your feeder setups, approved alternates and ECO versions, and its agents re-sequence the floor when a component is short or a hot order arrives.

The challenge

What makes electronics planning hard

Changeovers eat the day

A dozen line changeovers a day can consume up to 30% of available time — and sequencing is done by gut feel.

Alternates and ECOs everywhere

Frequent engineering changes mean multiple BOM revisions in flight and a tangle of approved alternate parts.

SMT feeder limits

Each SMT line has limited feeder slots; different products need different setups, so sequence drives productivity.

Shortages stop the line

Thousands of small parts, tight JIT supply — and one missing reel can idle an entire line.

Agents at work

What your planning agents handle in electronics

Real situations your planners deal with every week — picked up, analyzed and turned into an explained recommendation without anyone having to notice them first.

A component allocation is cut by 40%

Disruption Response Agent

Checks approved alternates, re-sequences builds that are still kit-complete, and shows which customer orders move.

An ECO is released mid-week

Coordination Agent

Switches affected lots to the new revision at the right point, and flags stock of the old revision before it becomes obsolete.

A hot order from a key account

Scheduling Agent

Finds the slot with the least extra changeover time and presents the trade-off for one-click approval.

How planning agents work →

Industry ontology

An ontology built for electronics

On top of the core model of products, lines, materials and orders, Convect adds the entities and constraints specific to electronics — so agents understand your business from day one.

What this means for you

Alternates graph + ECO versions — once these relationships are in the model, the impact of any change (a rush order, a shortage, a breakdown) is traced automatically and handed to the optimizer as constraints.

1

Alternate parts graph

Approved substitutes for each reference designator, with priority and compatibility rules

2

ECO version control

Links between engineering changes, BOM revisions and production lots

3

SMT feeder capability

Feeder slots per machine, part types supported, setup times

4

Routing constraints

Standard and alternate routings: SMT → THT → test → pack

The decisions we optimize

From SMT to box build: five decisions

From long-range planning to the shop floor, each layer’s output becomes the next layer’s constraint.

01SMT · daily

SMT sequencing

Decision

How to configure feeders and sequence products to minimize setups

Output

Optimal SMT sequence with the fewest changeovers

02Assembly · daily

Kit-complete checks

Decision

Verify material availability before release; adjust automatically on shortage

Output

Builds released only when they can finish

03Assembly · daily

Changeover reduction

Decision

Group similar products to cut changeover share of the day

Output

Changeover time roughly halved, more productive hours

04Assembly · daily

BOM revision management

Decision

Update schedules automatically on ECO release; switch revisions without mis-builds

Output

ECO response in minutes, not days

05Box build · shift

Final assembly synchronization

Decision

Align SMT, through-hole, test and pack; replan rush orders with minimal disruption

Output

Box build in sync with upstream operations

Constraints across the chain:SMT feeder optimizationAlternate parts graphECO version controlJIT supply coordinationChangeover minimization

Upstream decisions constrain downstream ones. When execution drifts, agents trace back up the chain and assess the impact automatically.

Capabilities

Planning capabilities built for electronics

SMT scheduling optimization

Machine-level scheduling that respects feeder constraints

Automatic BOM revision switching

Schedules update automatically when an ECO is released

Changeover optimization

Similar products grouped to minimize changeovers

Kit-complete JIT checks

Material availability verified before release; plans adjust automatically on shortage

Production typeKey constraintsPlanning granularityBOM complexityRush-order frequencyOntology highlights
Discrete / mixed-modeSMT capacity, alternate partsDay / shiftDeep, many alternatesHighAlternates graph + ECO versions

See also: Production planning & scheduling · How the platform works

Standards

Configured for electronics requirements

During implementation, we configure the model around the quality systems and standards you operate under:

IPC-A-610

Acceptability of electronic assemblies

IATF 16949

Automotive electronics (where applicable)

RoHS / REACH

Environmental compliance

Put planning agents to work in electronics

Get the Electronics Manufacturing Planning Playbook, or talk to a specialist who knows electronics planning.