Conservative case
Use slower product, longest fill, most complex cap and lower efficiency.
Planning tool
Automatic filling machine output calculator
Estimate good containers per hour and per shift from line speed, efficiency, production time and changeover allowance.
- Hourly and shift estimates
- Efficiency scenarios
- No data leaves the browser
Estimated result
Planning output
At 100% rate1,800containers/hour
At entered efficiency1,440good containers/hour
Net running time7.00hours/shift
Estimated shift output10,080good containers/shift
Planning estimate only. Product fill time, head count, container handling, downstream capacity and real stoppages can change the result.
Ask Lancing to verify the estimate
Scenario planning
Compare more than one operating case
A range is more credible than a single optimistic number.
Expected case
Use normal production product, trained operators and realistic changeovers.
Growth case
Check whether the capper, labeller, conveyor and product feed can support future speed.
Inputs to verify
What the calculator does not know
Use the result to frame a discussion, then confirm the process detail.
- Actual fill time at the largest or slowest product
- Number of nozzles and index cycle
- Foam-control or diving-nozzle time
- Container settling and capping cycle
- Label and inspection constraints
- Micro-stops, replenishment and operator tasks
Practical answers
Output calculator FAQs
Answers are general guidance. Final suitability depends on product trials, containers and the confirmed machine specification.
Is the calculated output a machine guarantee?
No. It is a planning estimate based on the values entered. Actual output must be proven with the product, container and complete line.
What efficiency should I enter?
Use a realistic value based on current production, changeovers, minor stops and line complexity. New projects should compare several scenarios rather than assuming 100%.
Should cleaning time be included?
Yes. Enter net planned running hours after breaks, cleaning and planned changeovers, or use the changeover fields to reduce the available time.
Continue your shortlist
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Accuracy and output
Understand automatic filling machine accuracy, repeatability, throughput, head count, line efficiency and performance testing before quotation.
View optionsAutomatic bottle filling lines
Automatic bottle filling lines integrating filling, capping, labelling, coding, inspection and conveyors for UK liquid, paste and chemical production.
View optionsContact and request a quote
Request an automatic filling machine quotation from Lancing Ltd. Send product, container, fill range, output and line-integration details.
View optionsCapacity planning
Convert the output estimate into a testable line requirement
A useful calculation records the product, pack, scheduled time, efficiency and bottleneck assumptions that must later be verified by trials and acceptance testing.
Use the result as a scenario, not a machine promise
The calculator turns line speed, planned running time and an efficiency assumption into an estimated quantity. It does not know whether the product can be filled at that speed, whether a capper or labeller is slower, how often product is replenished or how long quality checks and changeovers take. The result should therefore be labelled with the assumptions used and tested against representative production evidence.
Create at least three cases. A baseline case should use current production hours and a conservative efficiency supported by actual stops. A target case can model the proposed line and planned staffing. A stress case should test the largest dose, most difficult container or most frequent changeover because those formats may set the real capacity requirement.
Separate line efficiency from scheduled time. Planned breaks, cleaning, product change, maintenance and batch release reduce available minutes before runtime efficiency is applied. Unplanned stops, rejected packs and speed loss then reduce the accepted output during those available minutes. Keeping the two effects separate makes the business case easier to verify.
Use the accuracy and output guide to define a sustained test and the line integration guide to identify the station that may become the bottleneck.
| Planning input | How to define it | Evidence source | Risk if overstated |
|---|---|---|---|
| Packs per minute | Use the slowest sustained station rate for the selected product and pack | Representative trial, timed existing process or agreed FAT result | The filler is sized above the capacity of capping, labelling or container handling |
| Available production minutes | Subtract planned breaks, cleaning, changeovers, batch release and maintenance from the shift | Production schedule and observed task times | The model assumes the line is available while planned work is taking place |
| Runtime efficiency | Use a value supported by stop, reject and speed-loss data rather than an ideal percentage | Existing OEE/stop data or a transparent scenario assumption | Output appears achievable only because normal interruptions are ignored |
| Batch and format mix | Model each important dose/container and its share of production | Sales/production plan and format matrix | A high-speed small dose hides the capacity of slower, larger fills |
| Changeover frequency | Count product and pack changes separately and include line clearance/release | Planned campaign sequence and observed or accepted changeover tasks | Short campaigns consume more time than the model allows |
| Accepted output | Deduct rejects and rework according to the quality plan | Inspection records or acceptance-test results | The calculation reports filled containers rather than saleable packs |
Send your project details
Save the inputs with the result and send the scenarios with your project brief so machine capacity can be checked against real production.
Further buyer questions
More output-planning questions
Scenario assumptions should be validated against the slowest station and real format mix.
Which line speed should be entered in the calculator?
Use the slowest sustained rate expected across filling, capping, labelling, inspection and discharge for the selected product and pack. Do not use a filler-only peak when planning complete-line output.
How should multiple pack sizes be modelled?
Calculate each important product, dose and container separately, include its production share and changeover time, then combine the accepted outputs. One average speed can conceal the format that determines capacity.