CAPITAL PROJECT GUIDE
A useful investment case connects engineering scope to accepted production output and real operating costs. It should show which benefits can be measured, which assumptions remain uncertain and what evidence will be used after commissioning to confirm the result.
ANSWER FIRST
An automatic packaging line ROI case should compare the current process with a clearly defined future process using the same operating period, accepted-output definition and cost boundaries. It should include the full delivered project scope, not only the purchase price, and test more than one scenario for labour, output, waste, downtime, changeover and support. A range with stated assumptions is more credible than one precise payback figure based on headline machine speed.
| Evidence area | Current-state measure | Future-state basis |
|---|---|---|
| Accepted output | Good packs per planned hour or shift, excluding rejects and rework | Agreed line scenario, bottleneck, replenishment and short-stop assumptions |
| Labour | People, hours and tasks by shift | Retained tasks, redeployment, supervision, replenishment and technical support |
| Waste and quality | Product, packaging, rework and complaint costs | Only benefits linked to a defined control or process change |
| Downtime and changeover | First-cause stops, duration, format frequency and cleaning time | Planned change parts, recipes, access and recovery method |
| Project cost | Current running and maintenance cost | Machinery, integration, guarding, site work, trials, training, spares and contingency |
The business case should use the good packs that reach the agreed boundary during planned time. It should include the effects of feeding, replenishment, inspection, rejects, case handling and downstream stops. A faster individual machine does not create the same benefit if another stage constrains the complete line.
Automation may remove repetitive handling while retaining people for material loading, quality checks, changeovers, cleaning and supervision. Record whether labour is genuinely removed from the cost base, redeployed to another value-adding task or retained to support higher output. Do not count all three as separate savings.
A quality benefit should be connected to a specific improvement such as controlled filling, closure verification, code inspection or reject confirmation. Use current reject, giveaway, rework or complaint evidence where available. Avoid assuming a percentage reduction without a technical mechanism and an agreed measurement point.
Allow for planned maintenance, critical spares, software backups, operator and engineer training, utilities, consumables and foreseeable obsolescence. A lower initial quotation can produce a weaker investment case if essential integration, support or acceptance work is excluded and later purchased separately.
Build at least a conservative, expected and upside case. Change only defensible variables and show which assumptions have the greatest effect. Typical sensitivity factors include actual demand, shift pattern, sustained accepted output, labour availability, waste, changeover frequency, installation disruption and the time needed to stabilise production.
Use the automatic packaging line cost guide for scope layers and the line balancing and OEE guide for production evidence.
State the measured constraint and the value of removing it. If demand, upstream supply or downstream packing will remain the true limit, the proposed packaging line may need a different scope or a staged investment.
Choose a small set of agreed measures such as accepted output, labour hours by task, changeover duration, reject quantity, first-cause stops and maintenance effort. Define the baseline and the future count points before the project begins.
Test the case against lower and higher demand, additional formats and different shift patterns. Flexibility has value only when the change parts, recipes, access, trials and validation needed for the future format are included.
Record assumptions, evidence confidence, exclusions, retained manual tasks, site dependencies and acceptance criteria. A transparent risk range supports a better approval decision than hiding uncertainty inside one optimistic payback period.
Send the product and pack formats, target output, available footprint, existing machinery, site requirements and the evidence expected at acceptance. Lancing can then assess the project boundary, required trials and the most appropriate next engineering step.