How does this relate to quantum solutions?

FactoPlan is the operational scheduling layer. LeanQubit can add hybrid or quantum optimization for especially complex planning cases where the constraint space becomes difficult for traditional approaches alone.

Do planners lose control of the schedule?

No. The system is designed to support planners with a stronger decision model, not remove human oversight from plant scheduling.

AI Production Scheduling

Stop PlayingSchedule Tetris

Replace static spreadsheets with finite capacity AI scheduling. FactoPlan automatically rebalances lines, optimizes routing, and minimizes changeover times in milliseconds.

22%↑Throughput Increase

15%↓Setup Time

<1sRe-optimization

Optimize Your Schedule How the Solver Works

GANTT SOLVERFinite Capacity Scheduling

OPTIMIZED

06:0009:0012:0015:00

LINE-A

WO-12

SETUP

WO-14

LINE-B

WO-13 (RUSH)

CNC-01

WO-09

WO-18

Finite capacity scheduling

Changeover-aware sequencing

Built for supply and line disruption

Supports advanced optimization workflows

Client Problems

What makes production planning break down in industrial environments.

This page is designed around the scheduling issues planners and plant leaders actually face.

High

Spreadsheet planning cannot keep up

Impact severity

High

Changeovers destroy capacity

Impact severity

High

Rush orders disrupt everything

Impact severity

High

Constraints are never modeled together

Impact severity

Operational Shift

From schedule firefighting to controlled planning.

This infographic section makes the product value immediately legible.

Current stateManual planning loop

Future stateFactoPlan scheduling loop

FactoPlan scheduling loop

Orders and constraints are evaluated in one scheduling model.
Line and material changes trigger guided replanning.
Setup and capacity logic are built into sequencing decisions.
Planners and supervisors act from the same schedule view.

Manual planning loop

Planners rebuild schedules after every disruption.
Rush orders are inserted through phone calls and spreadsheets.
Setup losses are visible only after execution.
Operations and planning do not share one live truth.

← drag to compare →

50% →

Future state

FactoPlan scheduling loop

Orders and constraints are evaluated in one scheduling model.
Line and material changes trigger guided replanning.
Setup and capacity logic are built into sequencing decisions.
Planners and supervisors act from the same schedule view.

How FactoPlan Solves It

A planning engine built around industrial constraints.

FactoPlan does not just draw a prettier Gantt chart. It structures scheduling decisions so they reflect real plant conditions.

Solution 01 of 04

Model capacity and routing realistically

Machines, lines, alternative paths, setup conditions, and dependencies are modeled so the plan reflects what the plant can actually execute.

Proven Outcome

Schedules become more executable and less theoretical.

What FactoPlan Does

Turns messy plant constraints into an executable schedule.

Choose a planning situation below and watch the schedule, solver mode, and operating outputs change. FactoPlan turns planning noise into a plan your plant can actually run.

Plant reality in

FactoPlan engine

Constraint-aware planning core

Sequence orders by capacity, due date, material readiness, and setup rules.

NowOptimized run order

Line A

WO-184282%

Line B

WO-221064%

Line C

WO-197746%

CPU

Daily scheduling

finite capacity, setups, release planning

GPU

Fast recovery

disruptions, routing, scenario search

Q-Hybrid

Complex choices

multi-plant, campaigns, portfolios

Operating decisions out

Dispatch list

shift-by-shift work order sequence

Setup reduction

15% fewer changeover minutes

Late-order risk

4 orders flagged before release

Planner control

locked jobs stay protected

Start

finite-capacity schedule the floor can trust

React

replan when downtime, material, or priority changes

Scale

add GPU or quantum-hybrid only for harder search spaces

Planner Workflow

How the scheduling loop works.

This step flow is designed to read cleanly on mobile while still acting like an infographic.

Step

Collect orders and constraints

Pull the demand, line rules, setup needs, inventory limits, and capacity assumptions into one planning view.

Step

Generate feasible sequence

Build a capacity-aware schedule that respects routing, machine time, and the most important business priorities.

Step

Respond to disruptions

Update the plan when machines go down, materials shift, or rush demand appears.

Step

Send back to execution

Push the new plan into plant operations so planners and supervisors stay aligned.

Product Workflow

How FactoPlan fits into the LeanQubit operating model.

This explains how scheduling connects to industrial automation and IIoT signals, not just planning theory.

Layer 01 · Step 1

Capture demand and constraint data

Orders, inventory status, machine availability, routing options, and setup requirements form the planning input layer.

OrdersInventoryMachinesSetups

Orders, inventory status, machine availability, routing options, and setup requirements form the planning input layer.

OrdersInventoryMachinesSetups

FactoPlan creates a feasible production sequence using actual plant constraints rather than ideal assumptions.

CapacitySequenceRoutingPriorities

Downtime, throughput loss, or supply changes can trigger replanning based on operational reality from the floor.

DowntimeThroughputSupplyReplan

The schedule can remain an explainable CPU plan, move into GPU-accelerated scenario exploration, or use quantum-hybrid optimization for enterprise-level assignment and sequencing problems.

CPUGPUQuantum-hybridMES

Connected Modules

What FactoPlan works with inside LeanQubit.

The scheduling layer needs context from both execution and the plant data foundation.

Module 01

FactoMES

Feeds work-order state, line events, and execution outcomes back into scheduling decisions.

Part of LeanQubit Platform

Module 02

FactoLake

Stores planning, event, and execution history for performance analysis and optimization.

Part of LeanQubit Platform

Module 03

FactoIQ

Supports recommendation logic, anomaly flags, and advanced planning intelligence.

Part of LeanQubit Platform

Module 04

IIoT Integration

Supplies machine-state and production feedback that keeps the schedule grounded in live plant conditions.

Part of LeanQubit Platform

Buyer Value

What planning and operations teams gain.

This is the part buyers scan for direct operational payoff.

Value for Planning Manager

"A more controlled scheduling process with less manual rebuilding and better visibility into constraint tradeoffs."

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Key metrics

OEE uplift
avg across plants
0%
MTTR reduction
faster fault resolution
0%
Shift visibility
real-time coverage
0%

Implementation Model

How to deploy scheduling intelligence without boiling the ocean.

This rollout keeps the product grounded in operational value and mobile-friendly clarity.

Phase 01 · Week 1–2

Scope the scheduling problem

Identify the plant area where sequencing complexity, setup loss, or replanning pain is highest.

Step 1 of 4

Identify the plant area where sequencing complexity, setup loss, or replanning pain is highest.

Map machines, routing, materials, and setup rules into the planning model.

Test schedule outputs against actual plant behavior and refine the planning logic with users.

Scale the model and extend into deeper optimization once the core planning loop is trusted.

Start your journey Typical deployment: 6–8 weeks

FAQ

Questions buyers ask before replacing spreadsheet planning.

Yes. The point of the product is to support replanning under real operating change, not just create a static initial plan.

Showing 4 of 4 questions

Next Step

Move production planning out of spreadsheet firefighting mode.

Book a FactoPlan session to map your real scheduling constraints, identify where changeover and replanning losses are hurting output, and see how LeanQubit can structure that planning loop.

Optimize Your Schedule See FactoMES

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