Downtime Cost Invisible
Maintenance team knew downtime duration ('35 minutes of downtime on Line 2 today'). Finance knew production targets and production actuals. No one calculated the actual cost of each downtime incident or connected downtime to missed revenue.
What Became Visible
Downtime impact analysis calculated the business cost of each incident: Line capacity = 200 units/hour. 35 minutes downtime = 116 units lost. At ₹2,200/unit margin = ₹255k direct production loss. Adding cascade effects (recovery time, subsequent line impact) = ₹310k total impact per incident. With 12 incidents monthly = ₹3.7M monthly downtime cost.
Prevention Investment Justification
With downtime impact quantified, prevention investments became economically obvious. A ₹4L preventive maintenance investment justified by ₹3.7M monthly downtime cost.
How it worked: Downtime impact quantification transformed maintenance from cost center to value-protection function. Prevention investment ROI became clear.
Results
average impact
12 incidents × avg impact
quantified
via incident reduction
Downtime duration is a symptom metric. Downtime cost is a business metric. Cost quantification drives prevention investment.
Operational Reality
Downtime was always expensive—now it's measured. Visible cost drives prevention focus and justifies investment.