FaktoryIQ-Scheduler
AI-Powered Production Scheduling for Modern Manufacturing
Turn demand, inventory, capacity, and constraints into optimized production schedules in minutes.
Build the Best Possible Schedule—Automatically
FaktoryIQ Scheduler answers the most important planning question: What should be produced, on which line, at what time, subject to all constraints, to optimize business objectives?
Why Manufacturers Choose FaktoryIQ Scheduler
Meet Customer Commitments
Prioritize orders and service-level targets to maximize on-time delivery.
Optimize Capacity
Balance production across lines while respecting true plant constraints.
Reduce Changeovers
Sequence production intelligently to minimize setup and downtime.
Control Overtime
Use available capacity efficiently before recommending additional labor hours.
Prevent Material Shortages
Check raw materials, components, WIP, and finished goods before scheduling.
Improve Over Time
Capture actual production feedback and refine scheduling assumptions.
Powered by FaktoryIQ
Built on the FaktoryIQ platform, FaktoryIQ Scheduler uses a Manufacturing Ontology and Intelligence Layer to create an AI Digital Twin of your plant.
Observe plant data, orders, capacity, and constraints
01
Model lines, resources, inventory, routings, and calendars
02
Optimize schedules using business objectives
03
Explain risks, bottlenecks, and recommendations
04
Learn from actual production performance
05
Core Capabilities
Everything needed to generate realistic daily and weekly production schedules.
Demand & Order Management
- Customer orders
- Forecast demand
- Required ship dates
- Customer priorities
- Service-level targets
Parts, Routing & BOM
- Part master
- Eligible production lines
- Production rates
- Setup and changeover times
- Alternate routings
Capacity Planning
- Efficiency factors
- Utilization targets
- OEE assumptions
- Labor limits
- Overtime limits
Inventory & Materials
- Raw materials
- Components
- WIP
- Finished goods
- Safety stock and supplier lead times
Constraints Library
- Line eligibility
- Due dates
- Labor availability
- Tool availability
- Frozen planning periods
Actuals & Feedback
- Actual quantities
- Actual cycle times
- Actual setup times
- Downtime
- Planner overrides
Enterprise scheduling logic
FaktoryIQ Scheduler combines rule-based heuristics, MILP, Google OR-Tools CP-SAT, hybrid AI optimization, simulation, and digital twin concepts to support plants from simple scheduling to complex constraint-based optimization.
Real-world constraints modeled
01
Capacity limits and shift calendars
02
Setup and changeover times
03
Lot sizes, batching, and multi-out production
04
Material shortages and labor constraints
05
Tooling, maintenance, and frozen schedules
06
Expected business impact
Improve delivery performance, reduce planner effort, and create more executable production schedules.
Lower
Inventory and expedite costs
10–25%
Changeover reduction
15–40%
Planner effort reduction
Higher
Schedule adherence
10–30%
On-time delivery improvement
5–20%
Overtime reduction
Designed for real manufacturers
Ideal for automotive, aerospace, industrial equipment, electronics, consumer goods, food and beverage, and pharmaceutical manufacturers.
Rapid Time to Value
Configure plant, lines, parts, calendars, orders, inventory, and constraints to generate schedules quickly.
Flexible Deployment
Available as Cloud SaaS, on-premises, or hybrid edge + cloud deployment.
ERP Ready
Integrate with SAP, Oracle, Infor, Epicor, CSV, Excel, and REST APIs.
Flexible
Pricing Options
Starter
Single plant deployment with core scheduling, basic constraints, and standard dashboards.
Professional
Advanced constraints, scenarios, planner workbench, and AI recommendations.
Enterprise
Unlimited plants, custom optimization, digital twin integration, and enterprise support.
Have any question? Find answer here.
Some frequently asked questions about Faktory-Scheduler
How much data do I need to start?
At minimum, you need orders, parts, production lines, production rates, and a shift calendar.
Do I need a formal Bill of Process?
No. The platform can begin with a simple Part → Line → Units per Hour mapping.
Can the system improve over time?
Yes. Actual production feedback is used to refine rates, setup times, capacity assumptions, and schedule risk predictions.
Can it run on-premises?
Yes. Cloud, on-premises, and hybrid deployment options are available.
Ready to modernize production scheduling?
Replace spreadsheets and manual planning with AI-powered scheduling that creates realistic, executable production plans.
