Complete Advanced Planning Implementation
Configure finite requirement planning and multi-resource scheduling for a multi-plant manufacturing environment in S/4HANA. Participants will set up planning areas, activate advanced planning features, define planning procedures, and execute planning runs to optimize material flow and capacity utilization across multiple plants.
Master Data Configuration Project
Establish comprehensive master data for thousands of SKUs, including product definitions, resource calendars, production versions, and lot sizing strategies. Learners will import and validate data using migration tools, configure production data structures, and implement master data governance practices to ensure data accuracy and consistency.
Live CIF Integration & Monitoring
Implement Core Interface integration using Change and Configuration Lifecycle Management (CCLM). Configure CIF queues, set up QRFC destinations, and monitor integration status in real time. Participants will troubleshoot replication errors, analyze failed entries, and apply corrective actions using SAP integration monitoring tools.
Heuristics & Optimizer Setup
Design and deploy various heuristic types—product heuristics for individual items, flow control heuristics for sequencing, and service heuristics for time-dependent scheduling. Configure the embedded PP/DS optimizer, define optimization profiles, and run optimizer jobs to achieve optimal production sequences under constraints.
Data Replication & Error Handling
Manage data replication between S/4HANA modules and PP/DS planning areas. Configure replication models, schedule data transfers, and resolve prerequisites issues. Participants will use error handling frameworks to identify and correct transfer errors, ensuring seamless synchronization of master and transaction data.
Real-Time Case Study Analysis
Analyze PP/DS implementation challenges in automotive and pharmaceutical sectors. Review project requirements, assess configuration options, and apply best-practice scheduling methods to solve issues such as capacity bottlenecks, variant planning, and batch requirements. Learners will present solution approaches and lessons learned.
