Procurement leaders
Turn purchasing records into priorities for savings and risk reviews.
Manufacturing Planning Tools
Compare required production hours with effective machine or line capacity and identify shortages or surplus.
Required hours
300
Effective capacity hours
538.56
Capacity utilization
55.7%
Maximum output
17,952
Surplus of 238.56 effective hours. Confirm maintenance, changeovers and demand timing before accepting additional work.
Business context
Production commitments often use theoretical machine hours while ignoring planned downtime, realistic efficiency and cycle time. Capacity planning converts these factors into effective hours so bottlenecks are visible before due dates are promised.
This guidance is designed for people who need to use production capacity planner results in a real approval, planning or operational workflow.
Turn purchasing records into priorities for savings and risk reviews.
Understand spending movements, exposure and performance trends.
Prepare a management-ready view from ordinary CSV or Excel data.
Input guide
| Column | Purpose | Example |
|---|---|---|
| Required Units * | Production quantity to complete in the planning horizon. | 10000 |
| Cycle Time * | Standard minutes required per unit. | 1.8 |
| Machines / Lines * | Equivalent resources available. | 4 |
| Working Time * | Hours per day and working days. | 8 hours × 22 days |
| Downtime % * | Planned or expected unavailable time. | 10 |
| Efficiency % * | Realistic operating efficiency. | 85 |
Mapping note: Use consistent dates, currencies, units and definitions. A correct calculation based on inconsistent inputs can still lead to a poor decision.
Use the analysis as a controlled decision-support step: prepare reliable data, review the exceptions, verify the cause and document the action taken.
Clean the source data and confirm the required fields and reporting period.
Run the tool and prioritise the most important production capacity results.
Validate the cause with contracts, transactions and operational evidence.
Assign actions, export the report and measure improvement in the next cycle.
Decision support
These actions are practical review priorities. Apply your organisation's approval limits, tolerance rules and contractual requirements.
Immediate
Start with records that have the greatest financial, service or operational effect. Confirm the source data before taking action.
Next
Separate genuine performance or demand movement from data quality, timing, unit, currency and process issues.
Monitor
Run the analysis on a consistent schedule, record decisions and compare whether corrective actions improve the next period.
Practical examples
The same result can require a different response depending on product criticality, shelf life, contract terms, service impact and available alternatives.
A seasonal order pushes utilization above effective capacity.
Expected outcome: The business evaluates a second shift and phased delivery before accepting the date.
One process has enough calendar hours but low effective efficiency.
Expected outcome: The bottleneck is addressed through setup and minor-stop reduction rather than buying another machine immediately.
Capacity planning tests whether available machines, working time, downtime and efficiency can meet a planned production quantity. It supports due-date commitments, overtime review and bottleneck discussions.
No. Supported CSV and Excel analysis runs locally in your browser.
No. It is transparent decision support for analysis and planning. Confirm results against approved masters, transactions and schedules.
Use consistent units for quantities, time and cost. Convert pack, weight, length and machine-time units before comparing or rolling up values.
Review after meaningful demand, price, BOM, routing, yield, capacity or inventory changes and during the normal planning cycle.