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Finite Capacity Scheduling

Schedule based on real constraints. No more impossible schedules or resource conflicts—just achievable plans that your shop floor can execute.

Infinite Capacity Scheduling

Traditional systems assume unlimited resources and ignore real-world constraints.

Overloaded work centers
Impossible delivery dates
Resource conflicts and bottlenecks
Manual firefighting and replanning
Poor schedule adherence

Capacity Utilization

Work Center A 142%
Work Center B 156%
Work Center C 78%
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Finite Capacity Scheduling

PlanQuill considers real constraints to create achievable, executable schedules.

Realistic capacity utilization
Achievable delivery commitments
Balanced workload distribution
Automatic conflict resolution
High schedule adherence

Optimized Capacity

Work Center A 94%
Work Center B 89%
Work Center C 91%

Every Constraint Considered

PlanQuill factors in all real-world limitations to create schedules your team can actually execute

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Machine Capacity

Available hours, setup times, maintenance windows, and machine-specific capabilities

Operating Hours 16h/day
Setup Time 45 min
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Labor Constraints

Worker availability, skill requirements, shift patterns, and labor capacity

Skilled Operators 8 available
Shift Coverage 24/7
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Material Availability

Inventory levels, supplier lead times, and material constraints for each job

Current Stock 2.3 weeks
Next Delivery Jan 15
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Tooling & Fixtures

Tool availability, fixture capacity, and specialized equipment requirements

Available Tools 24/32
Fixture Sets 6 sets

Energy & Utilities

Power consumption limits, compressed air capacity, and utility constraints

Power Limit 2.4 MW
Current Load 89%

Quality Requirements

Inspection capacity, quality gates, and certification requirements

QC Inspectors 3 shifts
CMM Capacity 12h/day

Advanced Finite Capacity Algorithms

Our proprietary algorithms simultaneously optimize multiple objectives while respecting all constraints.

CP

Constraint Programming

Advanced CP algorithms find feasible solutions in complex constraint networks with millions of variables.

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Heuristic Optimization

Genetic algorithms and simulated annealing find near-optimal solutions in seconds, not hours.

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Multi-Objective Balancing

Simultaneously optimize delivery, cost, utilization, and quality while maintaining feasibility.

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Dynamic Rescheduling

Continuous optimization adjusts schedules as constraints change throughout the day.

Performance Comparison

Schedule Feasibility 99.2%
vs 67% with infinite capacity
On-Time Delivery 96.8%
vs 73% with traditional scheduling
Resource Utilization 91.4%
Balanced across all work centers
Schedule Stability 88.3%
Jobs completed as scheduled

Measurable Impact

See the real-world results of finite capacity scheduling across different manufacturing environments

23%
Faster Throughput

Optimized resource utilization eliminates bottlenecks and idle time

18%
Reduced Lead Times

Realistic scheduling prevents delays and improves delivery performance

31%
Less Overtime

Balanced workloads reduce crisis management and emergency costs

95%
Schedule Adherence

Achievable plans that operations can consistently execute

Easy Implementation

Get finite capacity scheduling up and running with minimal disruption to your operations

1

Resource Mapping

Define your work centers, machines, labor pools, and other constraints

• Equipment catalog
• Skill matrices
• Capacity definitions
2

Data Integration

Connect to your ERP and MES systems for real-time constraint data

• ERP connectivity
• Shop floor data
• Real-time updates
3

Rule Configuration

Set up business rules, priorities, and optimization objectives

• Scheduling rules
• Priority matrices
• Constraint weights

Start Scheduling with Real Constraints

Stop creating impossible schedules. See how finite capacity scheduling transforms your production planning in a live demonstration.