A practical guide to manufacturing due diligence, capacity diligence, and plant / capex quality — how PE and M&A teams underwrite whether volume and margin theses are physically deliverable on the floor.
Many CIM growth stories assume “spare capacity” or “automation upside” without proving the plant can deliver. Manufacturing due diligence underwrites the production layer: installed versus effective capacity, bottlenecks and shift patterns, asset condition and deferred maintenance, sustaining and growth capex, OEE and quality yield, floor labor risk, and unit-cost reality through the hold period. It is not the same as supply-chain diligence (inbound suppliers and logistics), operational diligence (broad process and systems quality), real-estate diligence (property title and facilities as assets), or working-capital diligence (inventory dollars and peg math). Manufacturing work underwrites whether the plant can produce the volume, quality, and cost the model needs.
| Workstream | Primary question | Typical output |
|---|---|---|
| Manufacturing / capacity DD | Can the plant make it at cost? | Capacity model, OEE, capex bridge, plant risks |
| Operational DD | Do processes and systems run cleanly? | Process maturity, controls, organization |
| Supply-chain DD | Can we source and deliver inputs? | Supplier risk, continuity, logistics |
| Real-estate / property DD | What do we own/lease and on what terms? | Title, lease, site environmental screens |
| Working capital DD | How much cash is trapped in the cycle? | NWC peg, inventory quality, bridge |
Rebuild nameplate, demonstrated, and effective capacity by line, cell, and site. Account for changeovers, scrap, planned maintenance, labor availability, and bottleneck stations — not just marketing-brochure throughput. Map product mix sensitivity: capacity that exists only for easy SKUs is not capacity for the growth SKU mix. Connect to product diligence (what must be made) and market diligence (volume the thesis needs).
Assess critical asset age, MTBF/MTTR signals, spare-parts strategy, and deferred maintenance. A high-utilization plant with aging single-point-of-failure equipment is a hidden capex and downtime bomb. Review maintenance CMMS data where available; walk the floor for obvious neglect versus professional TPM. Link reliability to business continuity and customer on-time risk in customer diligence.
Separate sustaining capex (keep the lights and throughput), compliance/EHS capex, and growth/automation capex. Model what is required in years 1–3 if volume holds flat versus if the growth case lands. CIM “capex light” stories often push deferred work into the hold period. Capex bridges reprice free cash flow and debt capacity — hand off leverage implications to LBO diligence and debt / capital structure diligence.
Track first-pass yield, scrap, rework, warranty returns tied to manufacturing defects, and energy/consumables intensity. Unit cost is not just materials — it is changeover drag, overtime, scrap, and utilization of fixed plant. Rebuild cost bridges by line or family. Connect quality leakage to quality of earnings (cost capitalization, inventory valuation) and materials risk to supply-chain diligence.
Map headcount by skill, shift, and site; union status; key-person technicians; training pipeline; and absenteeism/turnover on the floor. Automation theses that ignore change management and maintenance skill gaps fail post-close. Align with people / talent diligence and management diligence for plant leadership depth.
Multi-site networks need a footprint thesis: consolidate, dual-source, nearshore, or invest. Environmental, health, and safety open items can reprice deals or kill timelines. Post-close value creation often assumes OEE lifts, SKU rationalization, and lean programs — diligence must separate process quick-wins from structural capacity or asset constraints. Align with environmental diligence, synergy diligence, and PMI diligence for Day-1 plant communications and integration of two manufacturing systems.
DI20-WELCOME) — useful for capacity questions, open-question lists, and site prioritization, not a substitute for plant tours, OEE exports, or engineering-grade capex estimates.
| Stage | Manufacturing focus | Deal-team action |
|---|---|---|
| Teaser / CIM | Sites, capacity claims, capex light narrative | Flag volume thesis dependence on plant |
| Desk diligence | Public footprint, permits, job signals, certifications | Red/amber/green; plant visit priority list |
| Deep ops / plant | Tours, OEE, maintenance, capex ledger | Capacity & capex bridge; bottleneck map |
| IC / model | Utilization cases; sustaining capex; downtime shocks | Base / upside / downside with plant shocks |
| Post-close | OEE program, capex governance, footprint plan | 100-day industrial plan with ownership |
| Signal | Severity | Why it matters |
|---|---|---|
| Utilization already high; growth with near-zero growth capex | Deal-Killer | Volume thesis is not physically funded |
| Critical single line/site with no dual-source or inventory bridge | Deal-Killer | One failure stops revenue |
| Clear deferred maintenance on bottleneck assets | Deal-Killer | Hidden capex and downtime reprice FCF |
| Chronic scrap/rework or quality escapes to customers | High | Cost and brand leakage understated |
| Key skilled trades with no bench / high turnover | High | Throughput depends on irreplaceable people |
| Open EHS / environmental plant issues | High | Timeline, cost, and reputation risk |
| OEE never measured; tribal knowledge only | Watch | Improvement thesis has no baseline |
| SKU explosion without changeover discipline | Watch | Apparent capacity is fake under real mix |
| Approach | Typical cost | Timeline | Best use |
|---|---|---|---|
| Full manufacturing module (specialist) | $40K–$150K+ | 4–10 weeks | Multi-site industrial; capacity-heavy thesis |
| Targeted plant / capex module | $20K–$60K | 2–5 weeks | 1–2 critical sites; known process |
| Public first-pass manufacturing pack | $49 | Minutes to hours | Triage before specialist spend / IC framing |
Before specialist plant modules, teams use structured public research to test whether the CIM’s manufacturing story is plausible: site footprints and expansions, job postings that reveal skill gaps or growth hiring, certifications and recalls, trade press on outages or investments, and whether “spare capacity” is consistent with utilization signals and product mix complexity. The pack frames data-room asks (OEE exports, maintenance backlog, asset register, capex ledger, scrap trends) and plant-tour priorities so expensive work lands on bottlenecks and sustaining capex — not generic ops slides. It is screening research, not a substitute for engineering walks, capacity modeling from primary data, or environmental specialists.
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Get a structured first-pass diligence pack — useful input for capacity thesis tests, open questions, and IC prep, not a full specialist manufacturing study.
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