Manufacturing
Production output is up. Lines are running at higher utilisation, new shifts have been added, and on paper the plant looks more efficient than it did a year ago.
Then finance is asked what that growth actually did to true cost-per-unit, and the honest answer takes longer to reach than it should. Scrap, rework, and downtime cost aren't always reconciled consistently against the specific run or line that generated them.
Whether output growth is translating into durable margin, or simply adding volume at a cost leadership hasn't fully priced, isn't something that can currently be answered with confidence.
Production volume is climbing, with no reliable decomposition of what that means for true cost-per-unit by line or shift
Scrap and rework are tracked, but not always reconciled consistently against the specific run, shift, or material batch that caused them
Downtime minutes are recorded, but the specific driver, a changeover, a breakdown, a material shortage, isn't always captured with the same consistency
True cost-per-unit figures for a line or product arrive later than the output volume figures they're meant to explain
What's Actually Breaking
Material cost, scrap, rework, and downtime sit across the MES, ERP, and shop floor logs. Assembling them into one view of what a unit actually costs to produce, on a given line and shift, is not always done consistently.
Scrap and rework are tracked, often carefully, but the real gap isn't visibility into the volume alone, it's that it's not consistently reconciled against the specific line, shift, and material batch in one view.
Downtime minutes are logged by maintenance. Cost impact is calculated by finance, often on a different cycle. Whether a specific downtime cause justifies its cost, or whether a cheaper fix is quietly costing more in recurring downtime, is not always visible in one place.
Shows output and downtime figures clearly, but rarely decomposes cost-per-unit into its actual line-level drivers.
Request a Diagnostic ConversationAddresses one cost driver broadly, without necessarily addressing the specific line or product where cost-per-unit is actually weakest.
Break each period's cost-per-unit across material cost, scrap and rework, downtime, changeover cost, and labour and overhead, using agreed rules rather than siloed reporting.
This isn't a promise of complete certainty, it's a view of the most material cost drivers with a clear flag on where attribution still depends on assumption.
Accountability for improving the weakest inputs is clarified before the next reporting cycle.
Reconcile cost-per-unit consistently by line and shift, and flag scrap, rework, or downtime cost outliers before they become materially significant.
Decide production strategy or which lines to invest in. It can make the economics visible. Those decisions stay with leadership.
Examines financial performance across material cost, scrap, rework, downtime, and changeover cost by line and shift. Leadership leaves with a clear view of the most material cost drivers, a flagged list of where attribution still relies on assumption, and a prioritised view of what to address first.
Request a Diagnostic ConversationProduction output growth means little if leadership can't trace what happened to the true cost behind it.
If your business is growing but reporting, workflows, data, or execution are becoming harder to manage, Kelarix can help you diagnose where better systems can create real leverage.
