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Stage 1 · Diagnose the problem

Why industrial plant business cases stall at approval: a diagnostic guide

By the Global B2B Group project team · Published · Editorial guidance, not engineering, legal or financial advice

Short answer: Most plant business cases stall because the cost estimate is more precise on paper than the scope behind it. Check the capacity basis, the estimate class, missing utilities and site costs, and whether ROI depends on optimistic volume — then fix the weakest input before asking for more quotes.

Feasibility study: a structured assessment of whether a plant investment is technically, commercially and financially viable, with a stated cost estimate accuracy range and explicit assumptions.

Symptoms that the case is not ready

Approvers send the case back, lenders ask for a "bankable" study, supplier quotes differ by large margins, or the team cannot explain what is excluded. These are symptoms; the cause is usually one of the eight checks below.

Eight diagnostic checks

Diagnostic checklist — what to look for and how to fix it
CheckRed flagWhat to do
1. Capacity basisTarget output stated only as nameplate rate, no product mix or shiftsState saleable output per year with product mix, shift pattern and realistic availability
2. Bottleneck evidenceNew line justified without measured station throughputMeasure the current constraint first; debottlenecking may defer CAPEX
3. Estimate classOne CAPEX figure with no accuracy rangeLabel the estimate class (e.g. AACE 18R-97 Class 5–3) and its range
4. Scope boundariesQuotes cover equipment onlyList civil, utilities, installation, commissioning, freight, duties and owner's costs separately
5. Utilities and sitePower, water, compressed air or refrigeration not checkedGet a site utility check before supplier RFQs
6. Volume and priceROI only works at full utilisation from month oneModel ramp-up and a pessimistic volume case
7. Contract modelNo decision on who owns interfacesChoose turnkey/EPC vs multi-contract before tendering
8. Permits and E&SEnvironmental and social requirements unknownScreen permits early; lenders often reference IFC Performance Standards

How to run the diagnosis — step by step

  1. Write one paragraph stating the business problem (capacity, cost, quality or new market) — not the solution.
  2. Collect 4–12 weeks of real operating data: output, downtime, scrap, labour hours.
  3. Score each of the eight checks as green, amber or red with the evidence you have.
  4. Fix red items first; most can be closed with site data or a clearer scope, not more supplier quotes.
  5. Re-run the CAPEX/ROI model with base and pessimistic cases, then issue a structured RFQ.

Illustrative example (hypothetical)

A food plant asks for a second packaging line. Diagnosis shows the filler runs below rated speed because of changeovers, and the cold store is near its limit. The red flags are checks 2 and 5: the project scope changes from "new line" to "changeover reduction plus cold-store study". This example is illustrative and not a client case.

Turn this into a comparable RFQ

For industrial projects from about USD 250,000, our project team prepares the requirement, contacts suppliers on your behalf and structures comparable quotations. Free for buyers; no savings or outcomes are guaranteed.

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Frequently asked questions

What accuracy should an early plant estimate have?
It depends on scope definition. AACE 18R-97 classifies early conceptual estimates with wide ranges that narrow as engineering progresses; state the class instead of a single figure.
Do we need a consultant for a feasibility study?
Not always. Many gaps close with your own operating data and a clear scope. Lender-facing studies may require independent review.
When should suppliers be contacted?
After the capacity basis, scope boundaries and site utilities are written down — otherwise quotes are not comparable.

Related tools and guides

Sources and references