An infographic maps SAP-enabled digital manufacturing benefits, integration, implementation challenges, and the path from proof of concept to deployment.
Flexible Printed Circuits (FPCs) are essential components in a wide range of electronic products, including smartphones, automotive systems, industrial equipment, and medical devices.
FPC manufacturing involves multiple production stages, including material preparation, drilling, plating, photolithography, etching, lamination, surface finishing, and inspection.
As electronic products become smaller, more complex, and increasingly demanding in terms of quality and reliability, FPC manufacturers face growing operational challenges:
One potential solution to these challenges is SAP Digital Manufacturing (SAP DM).
SAP DM is a cloud-based manufacturing solution designed to support manufacturing execution, production data collection, quality management, equipment integration, and operational performance analysis.
However, FPC manufacturing has characteristics that differ significantly from conventional discrete assembly manufacturing.
Before adopting SAP DM, project managers, IT leaders, and manufacturing architects must carefully assess its functional fit, integration requirements, technical limitations, and potential business value.
This article examines how SAP Digital Manufacturing can be applied to FPC production, covering implementation benefits, manufacturing-specific challenges, system architecture, Proof of Concept (PoC), and investment evaluation.
SAP Digital Manufacturing is a cloud-based solution that connects manufacturing execution with enterprise business processes and shop-floor operations.
It enables manufacturers to collect production data, monitor manufacturing performance, manage execution activities, and improve operational visibility.
Its major functional areas include:
| Functional Area | Key Capabilities | FPC Manufacturing Applications |
| Manufacturing Execution | Production order execution and operation tracking | Production progress and WIP management |
| Data Collection | Production and quality data capture | Temperature, pressure, plating thickness, and inspection measurements |
| Quality Management | Nonconformance and rework management | Defect recording, disposition, and rework history |
| Manufacturing Analytics | Production KPI and performance analysis | Yield, defect rates, and equipment performance |
| Resource Management | Manufacturing resource management | Equipment, operators, and production resources |
| Production Genealogy | Manufacturing history and material traceability | Raw material lot and finished product relationships |
SAP officially describes its support for different manufacturing models:
“Support many types of production scenarios (repetitive, discrete, process, and service) all in one application.”
Source: SAP Digital Manufacturing – Features
This capability is particularly relevant to FPC manufacturing.
Certain FPC processes, such as plating and chemical treatment, share characteristics with process manufacturing. Other operations require discrete tracking of production panels, individual circuits, and finished products.
Therefore, implementation teams should not assume that a single manufacturing execution model will work equally well across every production stage.
Instead, the execution model should reflect the characteristics of each manufacturing process.
Importantly, SAP DM’s support for multiple manufacturing scenarios does not guarantee that every FPC-specific requirement can be addressed through standard functionality alone.
FPC manufacturing typically involves multiple fabrication and inspection processes.
The exact sequence depends on product design, manufacturing technology, and whether the product is a single-sided, double-sided, or multilayer FPC.
The following table illustrates potential SAP DM applications across representative FPC manufacturing processes.
| Manufacturing Process | Critical Information | SAP DM Application | Expected Benefits |
| Material Preparation and Cutting | Material lots, input quantities | Material consumption and production genealogy | Improved material traceability |
| Drilling | Equipment, processing parameters, production results | Operation execution and resource tracking | Better process visibility |
| Plating | Processing time, plating thickness, quality measurements | Data collection and quality management | Earlier detection of process deviations |
| Photolithography and Etching | Recipes, process parameters, inspection results | Production execution and quality data collection | Improved defect investigation |
| Lamination and Coverlay | Temperature, pressure, processing time | Process data and execution tracking | More consistent quality management |
| Surface Finishing and Profiling | Processing conditions, production results | Operation tracking and quality records | Standardized process management |
| AOI and Electrical Testing | Inspection results, defect classifications | Nonconformance management and inspection integration | Better defect trend analysis |
| Final Inspection and Shipping | Acceptance results, product genealogy | Quality records and traceability | Faster customer quality investigations |
By consolidating manufacturing information, SAP DM can help organizations establish a more consistent view of production activities across different processes.
Instead of relying on isolated equipment records or manually maintained spreadsheets, production managers could access manufacturing information linked to production orders, materials, and shop-floor control units.
However, automated equipment integration and advanced quality analytics may require additional interfaces, data modeling, or integration with specialized manufacturing systems.
One of the most important design considerations in FPC manufacturing is determining the appropriate unit of manufacturing execution and traceability.
In conventional discrete manufacturing, products are frequently tracked using individual serial numbers.
FPC manufacturing can be more complicated.
A single raw material lot may be processed into multiple production panels, which are subsequently divided into individual flexible circuits.
Manufacturing operations may also involve splitting, merging, rework, and partial scrap.
A simplified traceability structure might look like this:
Raw Material Lot → Production Panel → Individual FPC → Finished Product Lot
SAP DM uses Shop Floor Control (SFC) identifiers to manage manufacturing execution units.
Implementation teams must therefore address several questions:
SAP DM provides manufacturing history capabilities through applications such as the SFC Report.
SAP documentation confirms that the SFC Report can display production activities, including split, merge, serialization, component consumption, and nonconformance records.
Source: SAP Help Portal – SFC Report
Nevertheless, the ability to represent every FPC-specific genealogy scenario using standard functionality must be validated during solution design and PoC.
Recommendation for Project Managers and IT Teams
Define the traceability model before configuring manufacturing execution.
Distinguish processes that require lot-level tracking from those requiring panel-level or individual-circuit-level traceability.
Tracking every circuit individually throughout every process could significantly increase data volumes and operational complexity.
The traceability design should balance customer requirements, manufacturing practicality, and system performance.
FPC factories typically operate a diverse range of production equipment, including drilling machines, plating equipment, exposure systems, etching lines, laminators, automated optical inspection (AOI) systems, and electrical testing equipment.
These machines may use different communication protocols, data formats, and data acquisition frequencies.
Consequently, SAP DM integration requirements must be assessed equipment by equipment.
| Data Category | Examples | Recommended Management Approach |
| Production Execution | Start time, completion time, production quantity | SAP DM |
| Quality Measurements | Plating thickness, dimensions, electrical resistance | SAP DM or quality management systems |
| Equipment Status | Running, stopped, alarms | SAP DM and equipment monitoring platforms |
| Process Parameters | Temperature, pressure, processing time | SAP DM and equipment control systems |
| AOI Images | High-resolution inspection images | Dedicated image storage |
| High-Frequency Sensor Data | Continuous sensor measurements | Industrial data platforms |
SAP DM supports manufacturing data collection and allows numeric parameters to be validated against configured limits.
SAP’s Manage Data Collection documentation describes the ability to:
“Assign logical limits for numeric data parameters.”
Source: SAP Help Portal – Manage Data Collection
This capability can support FPC quality management.
For example, manufacturers could capture lamination temperature, pressure, and processing time and evaluate whether the recorded values fall within predefined operating limits.
However, collecting manufacturing data is not equivalent to controlling production equipment in real time.
Equipment control, safety interlocks, and detailed machine-level recipes may remain the responsibility of PLCs and specialized equipment control systems.
Recommendation for Project Managers and IT Teams
Establish clear boundaries between manufacturing execution, equipment monitoring, and machine control.
Avoid assuming that SAP DM should store every raw equipment signal or high-resolution inspection image.
Instead, design a data architecture that captures the information required for execution, traceability, quality management, and business analytics.
FPC manufacturing can experience a variety of quality defects, including:
Reducing these defects requires more than final inspection.
Manufacturers need to understand how materials, equipment, process parameters, and production conditions relate to product quality.
SAP DM can provide a foundation for collecting and associating manufacturing information with quality outcomes.
Potential analysis scenarios include:
However, a distinction must be made between manufacturing data collection and automated root cause identification.
For example, identifying defects from AOI images may require specialized image-processing software or AI models integrated with the manufacturing environment.
SAP DM should not automatically be assumed to provide every inspection algorithm or FPC-specific AI quality model as standard functionality.
Recommendation for Project Managers and IT Teams
Determine which quality data should be managed directly in SAP DM and which should remain in specialized inspection or quality systems.
For large inspection images and high-frequency measurement data, consider storing the original information in dedicated platforms while integrating relevant results, identifiers, and quality indicators with SAP DM.
When defects are detected during FPC manufacturing, the affected products may require reinspection, reprocessing, or scrapping.
SAP DM supports nonconformance recording and disposition processes.
Its standard capabilities include mechanisms for associating nonconformance codes with disposition options and routing affected SFCs.
Source: SAP Help Portal – Nonconformance
Nevertheless, FPC manufacturers must evaluate specific operational requirements, such as:
These requirements should be classified according to whether they can be addressed through standard SAP DM configuration, extensions, or external systems.
The goal is not simply to digitize defect recording but to establish consistent quality disposition processes across manufacturing operations.
FPC production can generate substantial amounts of manufacturing and inspection data.
This becomes particularly important when production genealogy is maintained at the individual-circuit level.
Implementation teams should evaluate:
Because SAP DM is a cloud-based solution, factory network reliability and connectivity architecture are important considerations.
A successful implementation must address not only functional requirements but also nonfunctional requirements such as performance, availability, security, and operational resilience.
For FPC manufacturers using or planning to implement SAP S/4HANA, defining the responsibilities of ERP and manufacturing execution systems is essential.
A recommended logical architecture consists of three layers.
SAP S/4HANA manages core enterprise processes, including:
SAP DM supports manufacturing execution and shop-floor information management, including:
The shop-floor layer includes:
Under this architecture, SAP S/4HANA maintains enterprise-level consistency across planning, inventory, costing, and financial processes.
SAP DM manages manufacturing execution and relevant shop-floor data.
Specialized systems continue to handle detailed equipment control and large-scale image processing where appropriate.
However, functional overlaps may exist across ERP, MES, quality management, and equipment management systems.
For example, material consumption, quality records, equipment status, and WIP information may be represented in multiple systems.
Therefore, organizations should establish a clear System of Record for each major data object.
This is essential to prevent duplicate data maintenance, inconsistent information, and unnecessary integration complexity.
The business value of SAP DM should be evaluated through measurable manufacturing outcomes rather than the number of implemented software functions.
Potential benefits include:
| Improvement Area | KPI | Expected Business Value |
| Quality | First Pass Yield (FPY) | Reduced defects and rework |
| Quality | Defect Rate by Operation | Earlier identification of quality problems |
| Productivity | Overall Equipment Effectiveness (OEE) | Better visibility into equipment and performance losses |
| Lead Time | Manufacturing Lead Time | Reduced waiting time and WIP congestion |
| Inventory | WIP Quantity and Aging | Improved work-in-process inventory control |
| Quality Assurance | Manufacturing History Retrieval Time | Faster responses to customer quality inquiries |
| Cost | Scrap Loss | Reduced material and processing losses |
| Operational Efficiency | Production Data Entry Time | Less manual reporting and data re-entry |
For FPC manufacturers, yield improvement is particularly important.
By collecting quality information across production stages, manufacturers may be able to identify machines, materials, or operating conditions associated with higher defect rates.
Similarly, improved WIP visibility can help production managers identify delayed orders and manufacturing bottlenecks.
SAP DM provides capabilities for manufacturing KPI monitoring and OEE analysis.
Source: SAP Digital Manufacturing – Features
However, these benefits should be treated as expected outcomes rather than guaranteed results.
Actual improvements depend on the manufacturing environment, baseline performance, process changes, data quality, and successful system adoption.
Quantitative improvement targets should therefore be validated using factory-specific data.
Implementing every SAP DM capability across every FPC manufacturing process simultaneously may increase project complexity and implementation risk.
A phased approach based on business value and implementation difficulty is generally more practical.
| Application Area | Business Value | Implementation Difficulty | Recommended Priority |
| Production Progress and WIP Visibility | High | Medium | High |
| Process Quality Data Collection | High | Medium | High |
| Material and Production Lot Traceability | High | High | High |
| Nonconformance and Rework Management | High | Medium | High |
| Equipment Monitoring and OEE | High | Medium–High | Medium–High |
| AOI Inspection Data Integration | High | High | Medium |
| Automated Equipment Recipe Distribution | Medium–High | High | Medium |
| AI-Based Quality Prediction | Potentially High | High | Medium–Low |
Note: These ratings are indicative assessments for FPC manufacturing, not official SAP product ratings. Actual priorities depend on each factory’s operational challenges.
For example, a manufacturer experiencing long delays in quality investigations may prioritize traceability.
Another factory with high defect rates in a particular process may prioritize quality data collection and nonconformance management.
Project managers should define implementation priorities based on business problems and measurable improvement opportunities, not simply on software functionality.
Before committing to a full-scale SAP DM implementation, manufacturers should conduct a Proof of Concept covering representative FPC manufacturing processes.
Five areas deserve particular attention.
Validation Scope
Acceptance Criteria
The solution must support the traceability requirements defined by customers, manufacturing operations, and quality assurance teams.
Validation Scope
Acceptance Criteria
Required manufacturing data must be collected at the frequency, accuracy, and reliability needed for operational use.
Validation Scope
Acceptance Criteria
The solution must support representative quality management scenarios from actual FPC production operations.
Validation Scope
Acceptance Criteria
The architecture must meet the required performance and availability levels under expected production volumes and operating conditions.
Validation Scope
Acceptance Criteria
ERP and manufacturing execution information must remain consistent without unnecessary duplicate entry or reconciliation effort.
Before selecting SAP DM, project teams should assess the solution across business, functional, technical, and operational dimensions.
| Evaluation Area | Key Question |
| Business Value | Which manufacturing KPIs will improve? |
| Process Fit | Can the solution represent FPC-specific manufacturing processes? |
| Traceability | Can required lot, panel, and individual-circuit relationships be maintained? |
| Integration | Can SAP DM connect with ERP, equipment, and quality systems? |
| Data Architecture | Is the strategy for high-volume data storage and retrieval appropriate? |
| Performance | Can the solution handle expected production and event volumes? |
| Security | Is connectivity between factory networks and cloud services secure? |
| Availability | Can production continue during network disruptions? |
| Extensibility | Can gaps in standard functionality be addressed appropriately? |
| Total Cost of Ownership | Are licensing, implementation, maintenance, and operating costs justified? |
| Change Management | Can operators adopt the new processes and interfaces? |
| Rollout Strategy | Can the solution be deployed consistently across additional factories? |
For organizations operating multiple factories, manufacturing process standardization is particularly important.
Common definitions should be considered for:
At the same time, factory-specific requirements should not be ignored.
Differences in equipment, manufacturing technologies, and product characteristics may require local configurations or extensions.
A scalable implementation strategy should clearly distinguish global template requirements from plant-specific variations.
A phased implementation approach can help manufacturers control project risks while validating business value.
Key Activities
Key Deliverables
Key Activities
Key Deliverables
Key Activities
Key Deliverables
Key Activities
Key Deliverables
A successful SAP DM investment decision requires a business case supported by measurable financial and operational benefits.
For FPC manufacturing, the major value drivers may include the following.
Lower defect and rework rates may reduce material losses, processing costs, and scrap expenses.
Better visibility into equipment downtime, performance losses, and process bottlenecks may improve manufacturing efficiency.
Improved production visibility and reduced waiting times may help manufacturers optimize WIP levels and working capital.
Automated production data collection may reduce manual reporting, quality documentation, and manufacturing history investigation efforts.
Stronger traceability may enable faster identification of affected production lots and more efficient responses to customer quality incidents.
These benefits should be quantified and compared with implementation and operating costs.
A simplified financial evaluation can use the following formulas:
Annual Net Benefit = Annual Quantified Benefits − Additional Annual Operating Costs
ROI (%) = (Cumulative Benefits over the Evaluation Period − Total Investment) / Total Investment × 100
When calculating ROI, organizations should distinguish between improvements in operating profit and reductions in working capital.
For example, lower WIP inventory may improve cash flow without producing an equivalent immediate reduction in operating expenses.
Similarly, quality improvement and productivity improvement benefits should not be double-counted.
A complete Total Cost of Ownership (TCO) assessment should include:
Ultimately, investment approval should be based on realistic improvement assumptions, measurable outcomes, and a sustainable operating model.
SAP Digital Manufacturing represents a promising option for FPC manufacturers seeking to improve manufacturing execution, quality data collection, traceability, and production visibility.
Three areas offer particularly strong potential value.
By associating manufacturing parameters with quality results, SAP DM can support defect trend analysis and continuous process improvement.
Linking raw materials, production activities, and finished products can improve manufacturing genealogy and accelerate quality investigations.
Collecting manufacturing execution data can help production managers identify bottlenecks, monitor work-in-process inventory, and improve operational decision-making.
However, FPC manufacturing introduces specific challenges, including complex lot and panel tracking, split and merge operations, heterogeneous equipment integration, and high-volume inspection data.
Whether these requirements can be addressed entirely through standard SAP DM functionality depends on the manufacturing environment and solution design.
Therefore, project managers and IT leaders should not make adoption decisions based solely on product feature comparisons.
The critical success factor is to identify the manufacturing business problems that SAP DM can solve, determine where configuration or extensions are required, and validate the expected business value before full-scale deployment.
A well-designed architecture should establish clear responsibilities among SAP S/4HANA, SAP Digital Manufacturing, equipment control systems, and specialized quality applications.
A structured PoC should then validate manufacturing execution, traceability, integration, performance, and financial assumptions.
Rather than treating SAP DM implementation as a conventional MES replacement project, manufacturers should position it as part of a broader digital manufacturing transformation.
By connecting manufacturing execution with quality, productivity, inventory, and cost information, SAP DM can help establish a foundation for more integrated, data-driven manufacturing operations.
Disclaimer: The FPC-specific assessments, recommended architecture, implementation priorities, and expected benefits presented in this article are based on publicly available SAP documentation and general FPC manufacturing characteristics. They do not constitute confirmation of an FPC-specific SAP DM standard template, guaranteed implementation outcomes, or verified performance improvements at a particular manufacturing company. Functional fit and business value should be validated against the applicable SAP DM release and actual factory requirements.
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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