Selection & capacity

Size a chili sauce production line from saleable output.

A capacity figure is useful only when it says what material, at what point, for what duration, under which operating conditions, with which losses and cleaning windows.

Illustrated chili sauce vessel and balanced line modules arranged around a transparent capacity planning concept
Illustrative planning visual: saleable output, cycles, losses, packaging, cleaning, and utility peaks must share one calculation basis. AI-assisted original · watermarked · not supplier or project evidence
Capacity basis

Make every capacity number carry its conditions.

Input

What enters the rated step?

Raw chili, trimmed chili, pulp, formulated batch, or finished sauce.

Output

What counts as accepted product?

Gross flow, transferred mass, filled units, or saleable packaged output.

Time

What period is represented?

Instantaneous rating, batch average, sustained run, shift, day, or annual campaign.

Conditions

What product and utility state applies?

Recipe, density, viscosity, temperature, particle load, utilities, labor, and packaging.

Capacity brief calculator

Convert a packaging target into traceable planning rates.

This browser-only calculator uses only values you enter. It does not transmit or store them, choose equipment, or promise capacity. Use representative product trials and a balanced-line study to replace each assumption.

No values leave this page.

Planning output

Enter your own basis to calculate saleable mass, running pack rate, accepted product rate, and gross input requirement.

Sizing sequence

Work backward from saleable packs.

  1. Demand: define pack mix, units per period, campaign pattern, and service level.
  2. Product: convert with stated density and yield assumptions; separate recipes and rejects.
  3. Packaging: model sustained filler, closer, inspection performance and changeovers.
  4. Processing: model batch cycles or continuous balance, buffers, hold and cleaning.
  5. Utilities: check simultaneous peak and recovery, not only average demand.
  6. Acceptance: define the test product, duration, measurement points, calculation, and tolerances.
Bottleneck review
Potential constraintEvidence to requestCommon ambiguity
PreparationRaw condition, reject load, cleaning and trim labor, sustained feed testNameplate on ideal raw material
Cooking or heat treatmentUsable volume, recipe, cycle, heat-up, hold and cool basis, fouling allowanceVessel size presented as hourly output
TransferRepresentative viscosity, particles, temperature and pressure-drop basisWater test used as product capacity
FillingContainer, volume, product, temperature, particle, closure and inspection basisPeak mechanical speed presented as saleable output
CleaningCircuit sequence, time, changeovers, chemical and utility recoveryCleaning window excluded from shift output
Heat & utility estimate

Publish the calculation boundary before the energy number.

Theoretical sensible heat

Q = mass × specific heat capacity × temperature change

This is one theoretical term, not total line energy or steam consumption.

A useful estimate adds equipment warm-up, heat loss, evaporation where applicable, cleaning, cooling, simultaneous demand, recovery, boiler or thermal-system performance, and the actual steam-to-condensate enthalpy basis. Then compare the estimate with metering, condensate, or trial data. FAO process-engineering guidance likewise distinguishes theoretical heat balance from measured steam use. FAO heat-balance guidance

Do not guess a size

Use your product and package data to create a testable capacity brief.

Prepare the inputs