Smooth or viscous recipes
Track how viscosity changes during hydration, heating and cooling. Mixing and wall heat transfer must remain appropriate across the entire batch.
Compare working batch size, heating, mixing, cooling, discharge and cleaning as one cycle before adding cooker capacity.

Start with the business outcome
A kettle’s nominal gallons do not establish daily accepted output. DPS can engineer configured cookers, utilities, transfer and controls around the recipe and full batch schedule. A valuable project creates another feasible good batch, removes actual paid cost or reduces independently metered resources without compromising the qualified process.
Qualified product / process specialists define required cooking, cooling, holding and preservation conditions. This guide does not set a safe time / temperature recipe or treat kettle cooking as proof of shelf stability.

Track how viscosity changes during hydration, heating and cooling. Mixing and wall heat transfer must remain appropriate across the entire batch.
Define piece size and accepted texture after agitation, heat treatment, discharge and the package. Faster transfer or aggressive mixing can damage the quality being sold.
Chilled, retort and aseptic routes create different qualified interfaces. Select the intended product / package route before assigning a cooking or cooling benefit.
Log loading, heating, hold, cooling, discharge, cleaning and release separately.
Compare source, jacket / exchanger, agitation, return and cooling recovery with the recipe.
Compare another vessel, a larger working batch or parallel activity against fill and cleaning capacity.
Swipe horizontally to compare all columns ↔
| System | Operating duty | Relevant DPS guide | Confirm before purchase |
|---|---|---|---|
| Jacketed cooker / kettle | Provide agreed heat transfer, mixing and discharge. | Kettles and cookers ↗ | Working batch, particles, duty, cooling and cleaning. |
| Utility supply and return | Meet the duty where the process actually uses it. | Utility infrastructure ↗ | Peak overlap, recovery, quality, point-of-use conditions and isolation. |
| Configured process vessels | Provide the specified working volume, mixing / holding and connections. | Tanks and vessels ↗ | Working duty, material, agitation, residence, cleaning and access. |
| Instrumentation and controls | Execute the agreed sequence and record meaningful equipment states. | Automation & controls ↗ | I/O, alarms, recipe authority, backups and acceptance tests. |
Compare the same qualified recipe and package while keeping all loading, cleaning and downstream work visible.
Swipe horizontally to compare all columns ↔
| Decision | What to compare | Acceptance evidence |
|---|---|---|
| Larger working batch | Mass gain versus longer heat / cool / discharge | Complete accepted kg per window, not gallons alone. |
| Targeted cycle correction | Measured limiting step and useful minutes | An actual additional batch or avoided paid cost. |
| Parallel equipment | Allowed overlap, operator and shared utility capacity | Whole-train schedule and product-approved hold conditions. |
Swipe horizontally to compare all columns ↔
| Observed condition | Measure before design | DPS / team decision | Economic basis |
|---|---|---|---|
| Long heating / cooling | Measure each stage by recipe. | Match heat transfer and utility conditions. | Additional complete batches or real resource cost. |
| Oversized proposed vessel | Compare full cycle at usable working mass. | Check retained vs added equipment. | All-in alternative cost and demand-supported contribution. |
| Cooker waiting for filler | Log upstream / downstream states. | Review buffer and product-approved holds. | Useful output with no duplicate buffer benefit. |
| Variable manual steps | Record ingredient / control sequence. | Engineer clear recipes and instrumentation. | Accepted batches and actual paid-cost reduction. |
Measure full cycles for representative recipes and investigate heating, cooling, transfer and filler waits. Retain adequate equipment and correct the verified limiting duty.
Choose the product / package route and complete cook-cool-fill schedule before vessel quantities. Include ingredients, utility peaks, qualified trials, waste and staff.
Compare proposals with the same product duty, supplier boundaries and acceptance basis. The amount below is a transparent planning example, not a market price range, supplier estimate or DPS quotation.
| Cost bucket | Assumed amount |
|---|---|
| Application engineering and supplier duty review | $50,000 |
| Defined equipment / instrumentation components | $181,000 |
| Mechanical and electrical field installation | $92,000 |
| Controls and interface development | $55,000 |
| Commissioning / agreed acceptance support | $25,000 |
| Training, documentation and handover | $17,000 |
| Defined project scope | $420,000 |
| Separate site / facility additions | $80,000 |
| Capital contingency (15%) | $75,000 |
| Separate one-time startup / shutdown cost | $35,000 |
| Incremental working capital | $20,000 |
| Total initial cash | $630,000 |
The defined scope assumes applicable freight, procurement charges and taxes are included in the owner’s estimate. Add missing civil, land / shell, OEM, environmental, validation and permitting costs explicitly. Site and field conditions, duty, production access and quoted supplier scope determine actual price. Financing is excluded.
Hypothetical screening case: 250 days × 1 equivalent useful hour/day × 1,000 accepted kg/h × 60% realization, capped at 140,000 kg incremental demand, gives 140,000 additional sold kg/year. Net price $3.5/kg less incremental variable cost $2.15/kg gives $1.35/kg contribution. Verified baseline purchase savings are $0, realized payroll savings $0, energy $20,000, cleaning resources $12,000 and maintenance $6,000 per year. Deduct $20,000 additional annual fixed cost. The physical default adds one complete 1,000 kg batch/day. The model expresses this as one equivalent productive hour at 1,000 kg/h; 60% realization gives 150,000 kg potential, capped at 140,000 kg demand.
Calculated from these assumptions: steady annual net benefit $207,000; year-one net cash $127,550; cash payback 3.43 years; five-year NPV at 10% is $82,466. Change the assumptions below to test a different case.
Replace the illustrative inputs with your own measured or quoted values. The five-year pre-tax model uses good kilograms, demand-capped contribution and separately verified baseline savings; it is not a project quotation.
All defaults are illustrative. The default case is an operating-plant improvement, not a greenfield quote. For a new operation, set baseline savings to zero and enter every additional operating and capital cost.
Includes contingency, startup and working capital
Incremental operating cash before tax
Includes year-one ramp assumption
At 10% annual discount
Net annual benefit ÷ initial cash
Net cumulative gain ÷ initial cash
Modeled incremental sales: 140,000 kg/year at $1.35/kg contribution. The demand ceiling limits sales. The base case has a nonnegative five-year NPV at the selected discount rate. Year-one net cash: $127,550.
Realization needed for the target operating payback
46.4%
Minimum capacity realization for a 4-year operating cash payback; terminal recovery excluded. Demand and unit margin must also hold.
CSV export is local. No inputs are submitted.
Swipe the chart to compare all five years ↔
Swipe horizontally to compare all columns ↔
| Year | Net cash | Cumulative cash | Discounted cash |
|---|---|---|---|
| Initial | −$630,000 | −$630,000 | −$630,000 |
| Year 1 | $127,550 | −$502,450 | $115,955 |
| Year 2 | $207,000 | −$295,450 | $171,074 |
| Year 3 | $207,000 | −$88,450 | $155,522 |
| Year 4 | $207,000 | $118,550 | $141,384 |
| Year 5 | $207,000 | $325,550 | $128,531 |
Swipe horizontally to compare all columns ↔
| Case | Annual benefit | NPV | Cash payback |
|---|---|---|---|
| Downside | $139,500 | −$266,935 | Beyond 5 years |
| Base | $207,000 | $82,466 | 3.43 years |
| Upside | $225,900 | $148,098 | 3.17 years |
Downside: installed and site costs +20%, realization ×0.75 and unit contribution reduced by 20% of its absolute value. Upside: realization ×1.15, capped at 100%, and unit contribution improved by 10% of its absolute value. The demand ceiling still applies.
Initial cash = (defined project scope + site additions) × (1 + contingency) + separate startup / shutdown cost + working capital. Contingency is conservatively treated as spent initially.
Sold incremental kg = min(days × recovered hours/day × constrained good kg/hour × realization, incremental demand). Contribution = sold incremental kg × (net price − incremental variable cost). New-volume labor, energy and packaging belong in that variable cost.
Baseline material benefit uses the verified percentage of actual purchases avoided at unchanged accepted baseline output. It is not a direct subtraction of two loss rates. Count a recovered kilogram once, either as its applicable cash saving or as incremental contribution.
Net annual benefit = contribution + independently realized baseline cash savings − added fixed operating cost. Year one scales gross benefits by the ramp factor while paying the full added fixed operating cost. Do not also count the same launch loss in the one-time startup amount.
Cash ROI = net annual benefit / initial cash. Five-year net ROI = (five-year cash inflows − initial cash) / initial cash. NPV = −initial cash + Σ cash flow(t)/(1 + discount rate)^t. Payback uses annual cash with linear interpolation within the recovery year. The threshold solver excludes terminal working-capital recovery.
This is a five-year screening horizon, not an asset’s entire life. No tax, debt, depreciation, grants, escalation, asset resale or additional replacement capital is modeled. Include recurring service costs in operating expense and use a detailed monthly budget for formal capital approval.
A fixed 720-minute window fits 4 current vs 5 proposed full cycles. The additional complete 1,000 kg batch/day supports the main capacity basis. This requires the same accepted product and downstream availability.
Use representative products, measured constraints and a documented utility / cleaning envelope. Assign each supplier and owner interface.
Plan FAT / SAT, instruments, recipes, permissives, quality checks and upstream / downstream handshakes as appropriate to the scope.
After stabilization, compare matched products and operating conditions. Reconcile extra output with sales, and baseline savings with actual purchases, bills and payroll.

Published scope / project context
DPS publishes process engineering, configured equipment, controls and installation / integration services. The source links establish relevant scope. The amounts, time changes, resource reductions and returns here are original hypothetical inputs, not achieved DPS customer results.
Swipe horizontally to compare all columns ↔
| Decision | Targeted intervention | Broader replacement / new operation |
|---|---|---|
| Constraint | A measured gap can be corrected within retained assets. | The verified operating envelope cannot meet product, demand or reliability needs. |
| Cost scope | Include engineering, interfaces, shutdown, commissioning and retained-asset risk. | Include all new systems, site / facility work, OEMs, utilities, ramp and working capital. |
| Benefit | Only incremental contribution and genuinely avoided costs versus the current operation. | Demand-supported contribution less the full additional operating cost versus the agreed alternative. |
| Acceptance | Verify the changed duty and its effect on the complete line. | Verify the integrated new train and the owner’s readiness to operate. |
Prepare the information below, export the assumptions you have modeled, and discuss the unknowns with DPS. An unmeasured input is a question to resolve, not a reason to invent precision.
Checklist and model data stay in this browser until you choose to share them.
Spirax Sarco discusses steam quality and contamination pathways in food and beverage systems. Qualified project teams determine the actual steam, pressure-system and product-contact requirements.
Guide assumptions reviewed on 26 October 2026. Qualified site / product teams establish regulatory and food-safety requirements; this guide does not prescribe a validated process.

Define sauce manufacturing plant cost across preparation, cooking, cooling, filling, cleaning and utilities, with clear boundaries and budget assumptions.

Compare batch vs continuous food processing using product mix, campaigns, installed scope, utilities and a transparent annual-capacity example.

Design a ready-meal operation around component cooking, assembly, cooling and distribution, with explicit release gates and equipment interfaces.