Pharmaceutical SAP Production Planning — GxP-Compliant, On-Time Delivery

Client: Pharmaceutical manufacturing company, 2,400 employees with $380M annual revenue, operating across 3 FDA-regulated production facilities.

Challenge: Pharmaceutical SAP Production Planning was required to replace a legacy MRP system that caused 14-day production planning cycles and frequent batch record discrepancies. The company faced FDA warning letter risk due to inadequate electronic batch record traceability and manual quality documentation processes across 3 disconnected sites.

Solution: Smartbrain.io deployed a team of 2 SAP architects and 5 developers over 16 weeks. The project implemented SAP PP with integrated batch management, shelf-life expiration planning, and SAP QM integration for in-process quality controls. The team configured SAP MRP with demand forecasting, established production scheduling with capacity leveling, and integrated with existing warehouse management via SAP PI. Migration included 8.2M historical batch records with full audit trail preservation.

Results: Production planning cycle reduced from 14 days to 3 days. Batch record accuracy reached 99.7% across all facilities. The company passed FDA inspection with zero findings four months post go-live. Inventory carrying costs decreased by 31% through improved demand planning. Project delivered 2 weeks ahead of the 16-week schedule.

Client: Series C healthtech company with $52M ARR, 340 employees, producing medical devices with combination drug-device products requiring dual regulatory compliance.

Challenge: The company's Pharmaceutical SAP Production Planning needs emerged from rapid scaling that outpaced their manual production tracking. Legacy spreadsheets caused 23% production variance and inability to support ISO 13485 audit requirements. Leadership needed production planning capability to support 3x revenue growth projection.

Solution: Smartbrain.io assembled a dedicated team of 1 Solution Architect, 3 SAP developers, and 1 validation specialist for a 12-week implementation. The project deployed SAP PP with production version management, routing configuration for complex assembly operations, and integration with SAP QM for device history record requirements. The team built custom Fiori apps for shop floor execution and established automated reporting for regulatory submissions. Data migration covered 1.4M component records and 12,000 bill of materials.

Results: Production variances reduced from 23% to 6% within 6 months. Device history record generation automated, saving 340 hours per month in manual documentation. ISO 13485 certification achieved with zero non-conformances. The system supported 2.8x revenue growth without additional production planning headcount. 3.2x ROI realized within first 12 months.

Client: Generic pharmaceutical company, 1,100 employees, $180M revenue, operating across 2 manufacturing sites with 8 production lines producing 240 SKUs.

Challenge: Existing Pharmaceutical SAP Production Planning configuration was inherited from a legacy ECC implementation and had never been optimized. Production scheduling accuracy was 68%, causing frequent changeovers and missed delivery commitments. The company required enhanced capacity planning to support new product launches without capital investment in additional lines.

Solution: Smartbrain.io provided 2 certified SAP PP consultants and 2 developers for a 10-week optimization engagement. The team conducted capacity constraint analysis, redesigned production scheduling heuristics, and implemented finite scheduling with SAP PP/DS. Integration with SAP APO enabled demand sensing, while custom dashboards provided real-time line utilization visibility. The project included knowledge transfer sessions for internal team capability building.

Results: Production scheduling accuracy improved from 68% to 94%. Line utilization increased by 18% without additional capital investment. Changeover time reduced by 22% through optimized sequencing. On-time delivery performance reached 97%, up from 81% pre-optimization. The optimization delivered 4.1x ROI within 8 months through reduced expedited shipping costs and improved customer retention.