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The SAP EPPDS (SAP S/4HANA Embedded Production Planning and Detailed Scheduling) Syllabus focuses on advanced planning and scheduling processes within the SAP S/4HANA environment. It explains how organizations plan production, manage resources, optimize manufacturing schedules, and improve supply chain efficiency using integrated planning tools. This training is important because accurate production planning helps companies reduce delays, utilize resources effectively, and maintain smooth manufacturing operations. It is ideal for SAP PP consultants, supply chain planners, manufacturing professionals, and ERP consultants who want to work on advanced production planning solutions in SAP S/4HANA projects.
📘 SAP S/4HANA EPPDS (embedded PP/DS) Training Syllabus
🧠 Overview
SAP ePPDS (embedded Production Planning & Detailed Scheduling) within SAP
S/4HANA enables advanced production planning, finite scheduling, capacity
optimization, heuristics, and optimizer-based planning — all within the S/4HANA core
system rather than SAP APO.
Duration of Training : 40 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
Objective: Understand where ePPDS fits in S/4HANA manufacturing & planning
SAP S/4HANA overview
What is embedded PP/DS (ePPDS)?
Diaerence between MRP Live and ePPDS
Planning challenges in manufacturing
Master data basics for planning
Integration with MM, PP, Sales/Operations
ePPDS architecture & real-time planning context
Real-World Scenario:
Manufacturing plant with demand fluctuations — determine planning approach (MRP Live vs ePPDS).
Objective: Understand the foundation for planning runs
Material master planning data
Bill of Materials (BOM) & routings
Work centers & resource definition
Production versions & planning relevant parameters
Alert Monitor basics
Data quality for eaective scheduling
Real-World Scenario:
Fix incorrect master data scenarios that lead to planning errors in the alert monitor.
Objective: Run planning and analyze results
Planning procedures
Net requirement calculation
Planning run execution
Product view planning and exception handling
Planning alerts & resolution
Hands-On Lab: Create and evaluate a planning run for a make-to-stock product.
Objective: Understand basic to advanced heuristics
What are heuristics
Single/multi-level heuristics
Bottom-up heuristics
Product & process heuristics
Firming strategies
Planning results and exception analysis
Assignment: Configure and run bottom-up & multi-level heuristics.
Objective: Finite scheduling & capacity management
Detailed scheduling concepts
Scheduling strategies and sequencing
Setup times & resource constraints
Multi-resource scheduling
Scheduling board overview
Real-World Scenario:
Schedule orders considering resource setup time and conflicting capacity constraints.
Objective: Use optimizer for advanced planning
What is PPO (Production Planning Optimizer)
Linear vs mixed-integer optimization
Cost-based planning
Defining constraints and objectives
Optimization profile configuration
Hands-On Lab: Model a bottleneck resource and run PPO to minimize scheduling delays.
Objective: Learn key configuration tasks
Planning profiles Scheduling settings
Technical optimization settings (RCCF)
Enhancing optimizer behavior Alert configuration
Assignment: Configure ePPDS profiles and optimize settings based on business scenarios.
Objective: Understand how to read output and logs
Planning logs & explanation logs Results interpretation
Limits of optimizer output
Post-planning adjustments
Real-World Scenario:
A plan order was significantly delayed by the optimizer — analyze logs and recommend
corrective actions.
Objective: See ePPDS in broader SAP context
Integration with SAP PP & MRP Demand sourcing rules Sales orders vs forecast planning
Integration with shop floor execution
Assignment: Simulate how demand from SD orders flows into ePPDS planning.
Objective: Ensure eaicient use of ePPDS
Planning performance considerations
Data volume impacts
Planning strategy best practices
Exception handling practices
Reporting key KPIs
Scenario:
Design a stable planning setup for a high-volume manufacturing site.
📍 Project 1 — Finite Production Scheduling
Implement a planning run with constraints on resources, sequencing rules, and
capacity availability.
Deliverables:
Execution of multi-level planning
Scheduling with PPO
Interpretation & dashboard report
📍 Project 2 — Integration Planning
Connect demand from sales and manufacturing forecasts into ePPDS and generate
finite schedules.
Deliverables:
Demand prioritization
Optimization run analysis
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