A strategic roadmap outlining the multi-year SAP S/4HANA costing implementation for automotive Tier 1 companies.
For Japanese automotive Tier 1 suppliers, product costing and cost planning must be managed simultaneously across multiple dimensions: vehicle program, OEM customer, product variant, and lifecycle phase. On top of that, OEM-specific JIT and kanban processes, frequent engineering changes, and volatile market conditions must all be reflected consistently in the cost view.
At the same time, many core systems have become heavily customized over the years, with numerous add-ons and satellite systems, making it difficult to obtain a single, reliable view of product cost.
This article looks at how an automotive Tier 1 supplier with existing MRP and production add-ons can:
using SAP S/4HANA Cloud, Private Edition (S/4HANA PCE) as the core, from the perspective of a project manager.
Note: This article is based on publicly available information such as SAP product catalogs, implementation case studies, and consulting reports, and does not rely on the specific circumstances of any particular company.
In SAP S/4HANA, Product Cost Controlling (CO-PC) and Actual Costing with Material Ledger (CO-ML) support an integrated process from standard cost build-up based on BOMs and routings through to month-end actual cost rollups. Leveraging the Universal Journal (ACDOCA) as a single source of transactional truth, standard functionality can complete activities such as automatic variance allocation and adjustments between inventory and cost of sales at a granular material level.
Because of this architecture, blogs and technical articles that explain “why you need actual costing at the material level and how to analyze it” repeatedly emphasize the effectiveness of item-level actual costing with S/4HANA.
In real-world automotive component case studies, companies that migrated from host-based legacy systems to SAP ERP have reported benefits such as:
Taken together, these findings indicate that for Tier 1 suppliers, the “core” of cost management is naturally built by combining FI/CO on S/4HANA PCE—especially CO-PC, CO-ML, and CO-PA—with PP/MM as the owner of BOM and routing structures.
In the Japanese market, several S/4HANA templates specifically target automotive parts manufacturers. One such template embeds automotive-specific capabilities such as kanban-related functions and integrated order management directly into SAP S/4HANA.
Another template for assembly manufacturers offers broad functional coverage across sales, purchasing, production, financial accounting, and management accounting as an integrated baseline.
For an automotive Tier 1 supplier, there are many business requirements that are difficult to express with standard SAP alone, including:
The basic pattern for rebuilding cost management is therefore to cover these unique requirements using templates and SAP Business Technology Platform (BTP) extensions, while consolidating cost-related data into S/4HANA’s standard costing logic at the core.
In a representative case study on rebuilding the cost planning framework at a Japanese automotive components manufacturer, the following challenges and measures are described.
While S/4HANA’s CO-PC and CO-ML are strong when it comes to calculating standard and actual costs, they do not natively provide functions that directly support processes such as “vehicle-program-based target costing,” “setting and tracking cost reduction targets,” or “running cost review governance.”
This is where a gap exists between Tier 1-specific cost planning requirements and the capabilities of SAP standard functionality.
In the same cost planning case study, the management expectation is clearly stated as “a mechanism for quickly obtaining profitability information by customer, vehicle program, and variant.” CO-PA in S/4HANA supports flexible definition of characteristics (for example, customer, product, region, channel) to analyze profitability.
However, in practice, Tier 1 suppliers often face additional complexity, such as:
These aspects typically require more than straightforward CO-PA characteristic design. To close the gap, project teams must combine detailed CO-PA design with extended master data structures or external master management (for example, via SAP BTP) to manage vehicle and variant information in a consistent way.
SAP Product Lifecycle Costing (PLC) is a product costing solution focused on securing future product margins at early design stages when master data is still incomplete. According to SAP, PLC offers the following key features.
In automotive Tier 1 vehicle-program cost planning, companies frequently need to:
PLC is designed precisely for this “early-phase simulation and version management,” and can be integrated with planning in S/4HANA CO and CO-PA to align program-level cost planning with mass-production cost control.
In the earlier cost planning case study, building a dedicated cost database, leveraging historical vehicle and component cost information, and maintaining a database of cost reduction ideas are highlighted as key enablers. A potential SAP-centric architecture could look like this:
Planning Layer
Actuals Layer
Analytics and Management Layer
This architecture enables consistent management of “target and estimated costs at the concept phase” and “actual cost and profitability in mass production” along the axes of vehicle program, customer, and variant.
In automotive component SAP case studies, companies often state that they adopted SAP systems to centralize information, enable real-time updates, and meet global and IT control requirements, while achieving visibility of inventory by location, immediate reflection of production results, semi-automated actual costing, and item-level variance analysis.
There are three points project managers should pay particular attention to:
SAP’s official guidance on cloud ERP transformation presents a phased roadmap based on the RISE with SAP methodology, breaking down the journey into phases such as discovery, design, implementation, migration, and extension. General ERP explanations also describe the purpose of ERP as integrating fragmented core processes and optimizing production using sales plans and order information with automated MRP.
For automotive Tier 1 suppliers, the following phase model is realistic:
For automotive Tier 1 suppliers, implementing SAP S/4HANA PCE is not only a large-scale system renewal but also a transformation program for product costing and cost planning. In particular, if you aim to achieve serious vehicle-program-level cost planning, you cannot avoid significant changes in business processes and organization in areas such as:
From a project manager’s standpoint, the key responsibilities include:
If your company or client has not yet clarified how far it wants to go in system-based “vehicle-program cost planning”—for example, focusing mainly on early-phase planning versus covering end-to-end including mass-production profitability—the first step should be to define that scope explicitly.
To move the discussion forward: to what extent do you want to systematize vehicle-program cost planning, and which phase do you want to prioritize—concept planning or mass-production profitability?
SAP S/4HANA Cloud, private edition – Manufacturing
Overview of manufacturing capabilities in S/4HANA Cloud, private edition
https://www.sap.com/products/erp/s4hana-private-edition/features/manufacturing.html
SAP S/4HANA Cloud Public Edition – Manufacturing
Cloud ERP for discrete and process manufacturing
https://www.sap.com/products/erp/s4hana/features/manufacturing.html
SAP Product Lifecycle Costing
Product and service costing across the lifecycle
https://www.sap.com/products/scm/product-lifecycle-costing.html
SAP Community Blog: Product Costing in SAP S/4HANA
https://community.sap.com/t5/enterprise-resource-planning-blog-posts-by-sap/sap-s-4hana-in-product-costing/ba-p/13502370
SAP News: Embracing the Strategic Shift to Cloud ERP
High-level article on moving from legacy ERP to cloud ERP
https://news.sap.com/2024/11/embracing-strategic-shift-cloud-erp/
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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