Sold by: LeanQubit
FactoPlan is an AI-powered finite capacity production planning and scheduling solution that helps manufacturers optimize resources, minimize bottlenecks, and maximize efficiency. By integrating seamlessly with MES and ERP systems, it enables intelligent scheduling, real-time scenario simulation, and data-driven decision-making. Built on AWS, FactoPlan empowers manufacturers to plan smarter, improve resource utilization, and deliver on time, every time.
Overview
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Overall Result Dashboard (main screen)
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Order Result Dashboard
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Machine Result Dashboard
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Component Result Dashboard
FactoPlan is a SaaS-based finite capacity planning platform that optimizes production scheduling using AI-driven algorithms. It helps manufacturers plan and allocate resources - machines, materials, and manpower - effectively to reduce bottlenecks, minimize downtime, and boost productivity. With real-time data integration from MES and ERP systems, FactoPlan provides a unified view of operational capacity and efficiency.
What It Does
FactoPlan delivers intelligent planning for modern production environments. It:
- Uses AI to optimize resource allocation and scheduling efficiency.
- Integrates seamlessly with MES and ERP systems for unified operational insights.
- Provides real-time monitoring and adjustment capabilities to improve throughput.
Why It's Different
Unlike traditional planning tools, FactoPlan offers real-time simulation and scenario analysis, allowing planners to compare multiple scheduling drafts and instantly assess their impact. It transforms complex production environments into clear, visual dashboards powered by AWS analytics and compute services - making planning decisions faster, smarter, and more accurate.
Key Features
- Smart Scheduling Algorithms: Generate optimized production schedules that minimize idle time and bottlenecks.
- Seamless MES & ERP Integration: Synchronize data across enterprise systems for consistent planning visibility.
- Scenario Analysis Dashboards: Simulate 'what-if' conditions and compare multiple schedule drafts.
- Machine & Resource Utilization Reports: Gain real-time insights into workload distribution and performance.
- Cloud Scalability: Built on AWS for high availability, data security, and flexible deployment.
Customer Benefits
- Reduce downtime and bottlenecks through intelligent capacity planning.
- Improve on-time delivery and resource utilization.
- Enhance decision-making with data-driven scenario analysis.
- Lower operational costs while boosting production efficiency.
Highlights
- AI-Driven Scheduling: Optimize production planning, reduce bottlenecks, and maximize throughput.
- Seamless Integration: Connect effortlessly with MES and ERP systems for unified, real-time planning.
- Scenario Simulation: Compare and visualize multiple plans to make smarter, faster scheduling decisions.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
FactoPlan | Monitor and optimize production with FactoPlans realtime planning insights | $25,000.00 |
Dimensions summary
FactoPlan uses a single contract dimension priced by the number of hosts you monitor. A host represents a production line, machine, or system tracked by the planning engine. Your cost scales with how many hosts you cover. You commit to the contract term, and you add hosts as your plant scope grows. There are no separate tiers or usage add-ons in this listing. All hosts receive the same realtime planning and scheduling capability under one flat per-host structure.
Top-of-mind questions for buyers
A host is a production line, machine, or system the planning engine tracks. Each machine, line, or control system you model into the schedule counts as one host. Examples include CNC units and individual production lines. You add hosts as you bring more of your plant into the scheduling model.
No. Billing is based on the number of hosts you monitor, not the optimization method. The schedule can run as a CPU plan, move to GPU-accelerated scenario exploration, or use quantum-hybrid optimization for harder problems. These processing depths do not add separate charges under this per-host structure.
Yes. Your cost scales with the number of hosts you cover. As you expand the scheduling model across more lines, machines, or plants, each added host raises your total. All hosts receive the same realtime planning and scheduling capability under one flat per-host rate.
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Software as a Service (SaaS)
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