Customer case · Wisconsin, USA

Pump Housing Cost Reduction & Local Inventory

Engineering changes reduced manufacturing cost, while a VMI program with agreed Min/Max, safety stock, Kanban replenishment, JIT delivery and local 3PL inventory reduced replenishment to 1–2 days.

≈10%design & process cost reduction
≈5%additional batch-production saving
1–2 dayslocal stock release
3PLinventory near customer

Program redesign

Cost, lot size and replenishment were treated as one system

The project moved beyond piece-price negotiation and addressed how the customer consumed the parts.

01

Map the cost drivers

Review product design, casting, machining and polishing with the customer’s engineering team.

02

Improve the route

Refine design details and manufacturing controls to reduce recurring production cost.

03

Consolidate production

Replace repeated small lots with larger planned production under the VMI program.

04

Position inventory

Maintain agreed Min/Max and safety-stock levels at a third-party warehouse near the customer.

05

Release locally

Use Kanban replenishment to keep local VMI stock within the agreed range and support JIT releases as the line needs parts.

The customer goal

A Wisconsin customer had been buying pump housings from us on a repeat basis. As part of an internal efficiency and cost-reduction program, the customer asked for a lower recurring cost without creating a risk of line interruption. Treating those objectives separately would have missed the main opportunity: manufacturing cost, order pattern and replenishment time were connected.

1. Engineering and process improvement

Our technical team worked with the customer's engineers on the product and its manufacturing route. Design details and the casting, machining and polishing sequence were reviewed together rather than as isolated operations. The resulting changes reduced the recurring manufacturing cost by approximately 10% for the program.

2. Change the production economics

The customer had previously released multiple small batches. Under the VMI program, demand could be consolidated into larger planned production lots. The larger runs reduced repeated setup and small-lot inefficiency and produced a further project-specific saving of approximately 5% at the production-lot level.

The percentages above describe savings at different stages of the program. They are shown separately rather than simply added into one headline number.

3. Put inventory close to consumption

The final constraint was physical lead time. Casting, machining, polishing and international transport naturally take much longer than a factory line wants to wait for a replenishment order. We therefore arranged third-party warehouse space near the customer and held the agreed VMI stock locally. Min/Max thresholds and safety stock defined the inventory range, while Kanban replenishment restored stock after customer releases and supported the agreed JIT delivery pattern.

Once inventory was positioned, the customer's release lead time changed from waiting through a production cycle measured in months to receiving stocked parts in roughly 1–2 days. The local warehouse introduced a carrying and service cost, but the customer judged that cost against reduced internal inventory pressure, faster response and better line utilization rather than against freight alone.

This Wisconsin program itself operated as vendor-managed inventory (VMI). Agreed Min/Max levels and safety stock defined the inventory range at the local 3PL, while Kanban replenishment and JIT delivery were used to restore stock and release parts in line with customer demand.

Supply continuity during COVID disruption

The stocking model became especially valuable when COVID-era factory shutdowns and logistics disruptions affected normal supply chains. Existing local inventory gave the customer a buffer against new-production and transport interruptions. The customer reported that it was able to maintain supply during that period while its sales volume and selling prices increased.

Buyer takeaway

For stable repeat components, the lowest total cost may come from combining engineering improvement + economical production lots + inventory positioned near use. A piece-price reduction alone does not address the cost of shortages, repeated small runs or long replenishment cycles. See how we structure VMI, JIT and stocking programs.

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