One reconciled record.
Your data becomes a single record of every plant, line, machine, product, customer, and shipment, with documented defaults wherever data is missing.
Why Forencian
Visibility is not the same as understanding.
Your systems can report a thousand percentages and still leave the costly questions unanswered:
Where do the hours go?
What does each lost hour cost?
Which move actually pays?
A different category
Forensic accounting found the truth in financial records.We do it for operations.
Forencian reconstructs the network from its own records, quantifies every hour and unit at contribution margin, and tests what to do about it before anyone moves a line.
A number finance will accept.
Revenue traced through materials, labour, and overhead to contribution margin, then applied to every scheduling gap and downtime hour at each plant's own rate.
A move you can defend.
Consolidations, relocations, and footprint changes tested on a digital twin and a network optimizer, then taken to NPV, IRR, and payback.
Illustrative case file
Case: Plant diagnostics
Loss quantified, move tested
A 49-line plant runs at 42% of its own schedule. “Low utilization” is the symptom. The records tell a more useful story.
THE SIGNALS01 02 03 04
Utilization vs schedule
42%Hours never scheduled
38%Production line complexity
7.7Contribution margin
$140THE CAUSAL CHAIN
OriginVolume spread thin across 49 production lines
AmplifierHigh changeover intensity keeps lines idle between runs
ExposureEvery unscheduled hour carries $140 of contribution margin
FindingConsolidating two production lines frees the hours and holds the volume
THE DECISION
A
Re-price the low-margin SKU families
B
Consolidate two production lines to optimal plantRecommended
C
Exit the lowest-volume product family
The difference
Fewer percentages.
More quantified decisions.
Typical operations reportingForencian
Reports OEE as a percentageQuantifies every lost hour at contribution margin
One plant, one spreadsheet at a timeEvery plant, line, SKU, and customer on one basis
Revenue by customerMargin by customer, line, SKU, and shift
Suggests a consolidationTests it on the digital twin and the network optimizer
Stops at the chartBuilds the investment case to NPV, IRR, and payback