Illustration showing how PLM, SAP, and AI drive automotive business transformation to boost ROIC.
This article is written for project managers leading enterprise transformation initiatives at Tier 1 automotive suppliers, particularly those centered on Dassault or Siemens PLM platforms and SAP S/4HANA Private Edition.
You likely face a familiar reality: an overwhelming list of ambitions, but limited investment capacity and resources.
OEM cost-down pressure, rising raw material prices, EV-driven demand volatility, mid-volume high-mix production, automation requirements, production constraints, and the push toward ROIC-driven, data-driven, AI-enabled management.
In this “everything at once” environment, where should a project manager begin—and how should priorities be structured?
This article organizes the answer through a TOGAF-based enterprise architecture perspective.
Many PLM and SAP initiatives gradually degrade into mere system replacement projects.
However, in a context defined by:
The focus should not be on systems, but on business capabilities.
Breaking the challenge into capabilities clarifies the landscape dramatically:
PLM and SAP S/4HANA are simply enablers of these capabilities.
A project manager must define scope and priorities based on:
For Tier 1 suppliers, cost planning is not defensive—it is a strategic offensive capability.
Under:
It becomes critical to visualize target cost and cost structure during the design phase.
This must be integrated seamlessly across PLM and SAP S/4HANA.
Key considerations:
A common pitfall is running PLM and S/4 projects separately, leaving cost engineering as an unowned gap.
To avoid this, the PM must:
Electrification fundamentally changes demand dynamics:
Strengthening demand-supply and constraint planning is not simply about implementing APS or IBP.
Critical questions include:
AI should not start with isolated PoCs.
Instead:
Ultimately, this is not a system project, but a capability transformation tied to executive decision-making.
The shift toward mid-volume high-mix production introduces:
If MES and automation are postponed as “later phases,” ERP and PLM investments fail to deliver value on the shop floor.
The PM should redefine manufacturing capability starting with:
Start with capability design—not system boundaries.
Many organizations claim to pursue data-driven management, but only a few succeed.
The difference lies in integrating:
Key questions:
The winning approach is:
AI should be applied with clear intent:
It is unrealistic to execute everything at once.
Prioritization should be evaluated along three axes:
Example roadmap:
Wave 1:
Wave 2:
Wave 3:
The key is balancing capability impact, financial return, and resource constraints.
At every phase, a PM should ask:
When these questions are clearly answered—and aligned between management and operations—the initiative evolves from an IT project into true business transformation.
If you are currently designing a PLM and SAP S/4HANA roadmap, the most critical question is:
Which capability will you prioritize first?
Your answer will define whether your transformation becomes incremental—or truly strategic.
Parts of this article were developed with reference to generative AI suggestions and were reviewed, refined, and supplemented based on the author’s professional expertise and judgment.
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