What Is Poor Production Scheduling Costing Your Factory?
Discover the financial impact of late deliveries, overtime, expediting, and untapped production capacity.
1 ยท Stabilize
Stop Losing Money to Scheduling Chaos
Skody's target is 99% on-time delivery โ a goal, not a guaranteed outcome.
Reaching 99% on-time delivery does not automatically eliminate every expediting cost or penalty. Use a realistic share.
Stabilize results
- Current avoidable-cost pool
- $170,000
- Potential annual savings (at 50%)
- $85,000
Current on-time delivery: 85%. Target: 99%. Savings reflect only the share of costs you mark as avoidable.
2 ยท Maximize
Unlock More Production From Existing Resources
Default 30% is illustrative โ adjust to your own margin.
Illustrative, editable scenarios โ 2% is an initial performance target, not a guaranteed outcome.
Maximize results โ 2% scenario
- Potential additional annual revenue
- $200,000
- Potential additional contribution (at 30%)
- $60,000
3 ยท Combined financial impact
Your Skody costs
First-year summary โ 2% scenario
- Stabilize โ potential annual savings
- $85,000
- Maximize โ potential additional contribution
- $60,000
- Total annual gross financial benefit
- $145,000
- Annual Skody subscription
- โ$18,000
- One-time implementation
- $0
- First-year net benefit
- $127,000
- First-year ROI
- 706%
- Estimated payback period
- 1.5 months
Modeled scenarios, not verified customer results. Net benefit = gross benefit โ subscription โ implementation. ROI = net benefit รท first-year Skody costs. Payback is shown only when benefits exceed the recurring subscription. Validate with your own production data before making investment decisions.
Compare all three scenarios
| Scenario | Starting target (2%) | Further optimization (5%) | Higher opportunity (10%) |
|---|---|---|---|
| Stabilize savings | $85,000 | $85,000 | $85,000 |
| Maximize contribution | $60,000 | $150,000 | $300,000 |
| Gross benefit | $145,000 | $235,000 | $385,000 |
| First-year net benefit | $127,000 | $217,000 | $367,000 |
| Payback period | 1.5 months | 0.9 months | 0.6 months |
Why factory throughput is more than machine utilization
A factory is an interconnected system. What it can deliver is determined by how five things interact โ not by how busy any single machine looks:
- Machine availability โ capacity only counts when the right machine is free at the right time.
- Qualified labor โ a machine without a qualified operator is not capacity.
- Material readiness โ jobs released before material arrives create waiting, not output.
- Bottlenecks โ the slowest constraint sets the pace for the entire plant; improving anything else changes little.
- Job sequencing โ the order work runs through shared resources determines how much finishes on time.
Skody coordinates machines, qualified people, materials, job sequences, and bottlenecks together โ so the entire factory can produce and deliver more with the resources it already has. That is the difference between making machines busier and making the factory more productive. Read more in Machine Utilization vs. Factory Throughput.
What manufacturers have seen
These are individual customer experiences โ they illustrate the approach, and do not guarantee similar outcomes elsewhere.
Yeager Manufacturing
Used what-if planning to test capacity decisions โ adding operators, moving jobs between qualified machines, changing sequences โ before committing labor or equipment.
Read the Yeager case studyThree Sigma Manufacturing
Published scheduling improvements after moving from manual scheduling to coordinated, finite-capacity production planning.
Read the Three Sigma case studyWant a detailed report for your factory?
Your results above are free โ no email required. If you'd like a deeper analysis, run the production scheduling diagnostic or schedule a factory capacity review with our team.