Customer Success Stories / Increased Flow & Flexibility
CASE STUDY · TIER 1 AUTOMOTIVE, DRIVETRAIN AXLES
Increased Flow & Flexibility
A 50% drop in demand left a rigid, multi-product line facing a market it could no longer serve — and management wanted footprint and assets reduced with zero new investment. Here’s how narrowing 15+ internal scenarios to 5 found the answer.
$752K
Net operating savings, year one
3→1 mo.
Speed to market for new products
5.9%
Reduction in cost to add value
The Situation
The line was fast. It just couldn’t bend.
A market shift cut demand by 50% on a multi-product line built for volume, not variety. The plant needed to reconfigure quickly to bring costs in line with current demand, and do it in a way that added flexibility, since demand was expected to return with a different product mix. Management suspected the current level of automation was itself part of what was blocking that flexibility.
The constraint that shaped everything: management wanted the plant’s footprint reduced and assets eliminated where possible, without any new investment. The plant manager wasn’t short on ideas — 15+ internal engineering scenarios were already on the table — but had no way to know which one would actually deliver the best financial performance.
Before Vayoom
50% drop in product demand
Rigid automation, suspected to be blocking flexibility
15+ internal scenarios evaluated, no clear financial answer
what was in the way
Needed lower cost now, more flexibility for a future, different mix
Footprint and asset reduction mandated — with zero new investment
No way to compare scenarios on actual financial performance
Starting Point
15+ internal scenarios, no clear winner
Investment Constraint
Zero new capital investment
Diagnostic Method
Dynamic analysis, risk & sensitivity modeling
Outcome
4 flexible cells, narrowed from 5 finalist configs
The Diagnosis
Why more scenarios weren’t the answer
The plant manager didn’t lack ideas — 15+ internal engineering scenarios were already on the table. What was missing was a way to know which one would actually perform best financially, under the one constraint that mattered most: no new investment.
The field was narrowed, with domain experts, to 5 preferred configurations for the operations that mattered most — then each was run through a full financial model: resource and asset requirements, operating cost, and risk and sensitivity analysis, rather than engineering judgment alone. The dynamic analysis surfaced three findings none of the 15+ internal scenarios had landed on: replacing certain robots with labor actually lowered cost while increasing flexibility; the redesigned flow needed one additional forklift to move smoothly; and the right answer wasn’t a single configuration, but four different ones, working together as flexible cells.
The Approach
Four steps, in this order
The plant didn’t need a 16th scenario. It needed a way to know which of the ones already on the table would actually pay off — under a mandate that ruled out new investment entirely.
01
Narrow the field
Worked with domain experts to narrow 15+ internal engineering scenarios to 5 preferred configurations for the operations that mattered most.
02
Build the workflows
Designed new workflows around actual product demand and process dynamics, incorporating those 5 preferred configurations.
03
Model the financials
Evaluated resource and asset requirements, then ran risk and sensitivity analysis across workflow combinations to find the configuration with the best financial sustainability — not just the best engineering.
04
Rewrite the operating policy
Set new policy for conveyance, automation, rework and scrap, labor, scheduling, and supply chain, built around the winning configuration.
“We had fifteen ideas and no way to know which one would actually pay off. Now we’ve got four cells that flex with whatever the market sends next — and we didn’t have to spend a dollar of new capital to get there.”
— Plant Operations Leader
The Results
What changed on the floor — and on the P&L
The $752,209 in first-year net operating savings already accounts for the cost of implementation — a 199% ROI in year one alone. Measured across the life of the project, the return climbs to 1,139%, without the new capital investment management had ruled out from the start.
$752K
Net operating savings, year one (incl. implementation)
199%
ROI, first year
3→1 mo.
Faster speed to market for new products
5.9%
Reduction in cost to add value
4
Flexible manufacturing cells, replacing 1 rigid line
15→5
Internal scenarios narrowed to finalist configs
$0
New capital investment required
+1
Forklift — the only new asset the redesign needed
AUTOMOTIVE · SAFETY-CRITICAL PARTS
Met Demand at Lower Cost
$2.5M in operating cost savings plus a 39% increase in net income
AUTOMOTIVE · DRIVETRAIN COMPONENTS
Realign Flow for Growth
$1.6M+ in combined labor and opportunity-cost savings, ~$3M in near-term CapEx avoided
MANUFACTURING SME · POST-BANKRUPTCY
Bankruptcy to Profitable
90 days to cash-flow positive, late shipments cut from $1M to $92K
Vayoom Vantage — Profit Potential Simulation
See what closing the gap is worth — in dollars.
A free no-obligation profit potential projection, built from your actual operational data with Vayoom Vantage. Not a demo. Not a pitch. A projection.
No obligation. Data-driven projections. Zero commitment.