Test different scheduling strategies, evaluate trade-offs, and make data-driven decisions with powerful scenario modeling capabilities.
Explore infinite possibilities and understand the impact of every decision before implementation
Model the impact of adding new equipment, shifts, or workforce to understand ROI and capacity expansion opportunities.
Evaluate the impact of rush orders on existing schedules and determine optimal insertion strategies.
Plan optimal maintenance schedules that minimize production impact and maximize equipment availability.
Model seasonal demand changes, market expansions, or product mix variations to prepare optimal responses.
Test the impact of new manufacturing processes, equipment upgrades, or workflow modifications.
Model potential disruptions, supply chain issues, or quality problems to develop contingency plans.
Create, compare, and analyze unlimited scenarios with intuitive drag-and-drop modeling
Adjust key parameters like capacity, demand, resources, or constraints using intuitive sliders and inputs.
PlanQuill generates optimized schedules for each scenario in seconds, maintaining all business rules and constraints.
Side-by-side comparison shows KPIs, costs, timelines, and trade-offs for each scenario with interactive charts.
Choose the optimal scenario and deploy it as your new schedule with a single click, or save for future reference.
Compare multiple scenarios simultaneously to identify the optimal strategy
| Metric | Current State | Add 2nd Shift | New Machine | Both Options |
|---|---|---|---|---|
| Daily Capacity (units) | 480 | 720 | 650 | 980 |
| Utilization Rate | 87% | 78% | 85% | 71% |
| Labor Cost/Day | $3,200 | $5,800 | $3,400 | $6,000 |
| Lead Time (days) | 14 | 9 | 11 | 7 |
| Initial Investment | - | $15K | $240K | $255K |
| ROI (12 months) | - | 340% | 180% | 280% |
Go beyond basic what-if analysis with sophisticated modeling capabilities designed for complex manufacturing environments.
Run thousands of probabilistic scenarios to understand risk ranges and confidence intervals for key metrics.
Automatically identify which variables have the greatest impact on your key performance indicators.
Balance competing objectives like cost vs. speed vs. quality with Pareto frontier analysis.
Use historical patterns and machine learning to improve scenario accuracy and reliability.
See how leading manufacturers use scenario modeling to drive strategic decisions
Used scenario modeling to evaluate impact of new OEM contract requiring 40% capacity increase.
Modeled impact of FDA inspection shutdowns and developed contingency plans for critical drug production.
Evaluated production line rebalancing for new product launch during peak seasonal demand.
Stop making production decisions based on gut feeling. Use PlanQuill's scenario modeling to understand the impact before you act.