Digital Solution for Automatic Costing
Context & objectives
Costing function is at the heart of competitiveness to :
- Predict the costs of future products
- Design less expensive parts for the same value
- Buy at the right price
- Track and optimize cost of each part throughout its life cycle
A vehicle is composed of ~x000 parts with ~x00 different technologies : Stamping, Elastomer, HPDC, machining, plastic injection, Electronic cards, …
Several hundreds of worldwide costing analysts
Current legacy tool is a major asset but almost obsolete :
- generating high volume of low added value tasks
- limiting capitalization
- limiting costing coverage and detection of savings opportunities
Objectives are :
- Increase accuracy by extracting technical cost drivers directly from engineering data
- Improve costing efficiency to optimize workload and lead-time
- Identify automatically cost reduction opportunities
- Build a collaborative « in-house » costing platform and deploy it in overall costing organization
Results
A successful digital transformation, recognized by CFO and acknowledged by “Digital Finance Awards” with both awards, “Innovation” and “project of the year”
- x0% of costing lead time reduction
- x0% of accuracy gained with automatic vs. manual drivers’ extraction
- x0% of vehicle cost covered by the platform
- x00Mio€ identified as RC reduction opportunities
- Cost analysts up-skilled and focused on added-value thanks to eradication of NVA tasks
- Legacy tool obsolescence derisking
- Engineering and procurement collaboration reinforced regarding costing
In 18 months, tailor-made digital platform deployed on hundreds of users with proven benefits (>200, 10 countries)
- A first use-case in 3 months to demonstrate feasibility and ROI on limited perimeter (stamping technology)
- Progressive roll out (step-by-step), to other technologies: Welding, Injection molding, Surface treatment, Painting, Machining, Molding, Printed circuit boards…
- Kick-off event with all costing stakeholders at T0+18 months attended by top management
- Full knowledge transferred to internal technical teams
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