Why good SAP functions alone do not guarantee good production planning
SAP PP/DS offers extensive options for taking material and capacity constraints into account in production planning. Nevertheless, many companies experience planning problems: orders are repeatedly rescheduled, bottlenecks are detected too late or planning results have to be corrected manually.
The cause does not necessarily lie in the software. Often several factors interact – from master data and planning parameters to process flows and collaboration between planning and production.
This applies to SAP APO PP/DS as well as to ePP/DS in SAP S/4HANA, which provides production planning and detailed scheduling directly in the ERP system.
Below we look at seven typical causes and show which questions companies should ask when improving their SAP production planning.
1. Insufficient master data quality
Robust production planning needs reliable master data.
This includes in particular:
- Production versions and bills of material
- Routings and resources
- Set-up and processing times
- Capacities and availability
- Lead times and replenishment lead times
If this information is incomplete or out of date, even technically correctly configured planning functions can produce results of little use.
Practical approach: Check not only whether master data is complete, but also whether it reflects actual production conditions accurately enough.
2. Planning parameters do not match production reality
Lot sizes, planning horizons, priorities and other control parameters influence the planning result.
It becomes problematic when parameters remain unchanged for a long time even though the product mix, demand or manufacturing conditions have changed.
Practical approach: Review the relevant parameters regularly against specific planning situations and actual production processes.
3. Capacity constraints are not sufficiently taken into account
A plan that is plausible in terms of quantities is not automatically feasible in terms of capacity.
If resources, shift models, alternative production options or bottlenecks are insufficiently modelled, unrealistic scheduling results.
Practical approach: Clarify which resources are actually limiting and in which planning steps finite scheduling is required.
4. Material availability and detailed scheduling are not sufficiently aligned
Capacity planning can be technically consistent even though the required materials are not available on the planned date.
Conversely, available materials alone cannot guarantee realistic completion if there are capacity bottlenecks.
Practical approach: Look at material requirements planning, the availability check and detailed scheduling together. The respective SAP functions fulfil different tasks and must interact sensibly in the process.
5. Too many manual interventions destabilise planning
Manual adjustments are not fundamentally wrong in production planning. However, they become problematic when planners have to correct the same problems over and over again.
Often there are then no clear rules for priorities, exceptions and how binding planning results are.
Practical approach: Distinguish between necessary operational decisions and recurring corrections that point to structural weaknesses.
6. Planning and production work with different information
A production plan is only helpful if relevant changes from manufacturing are taken into account promptly.
Missing or delayed confirmations of order progress, material consumption or equipment availability can mean that planning is based on outdated assumptions.
Practical approach: Review the information flows between SAP, MES and the shop floor. What matters is not as much data as possible, but reliable confirmations that are relevant for planning.
7. Roles and planning processes are not clearly defined
Even a well-configured SAP solution can miss its mark if responsibilities and decision paths remain unclear.
Typical questions are:
- Who sets planning priorities?
- Who decides in the event of capacity conflicts?
- When does a production plan become binding?
- How are short-term changes handled?
- Which key figures are used to assess planning quality?
Practical approach: Define planning processes and responsibilities so that system functions and organisational processes fit together. In addition, build up the necessary know-how through targeted training for new employees.
How companies can improve their SAP production planning systematically
Sustainable improvement starts with a structured review of the current situation.
Six dimensions should be considered together:
- People: Roles, skills and collaboration
- Processes: Planning workflows and decision rules
- System usage: Actual use of SAP functions
- Data: Quality and suitability of planning foundations
- Technology: System architecture and integration
- Continuous improvement: Key figures, transparency and further development
This holistic view helps distinguish symptoms from causes and prioritise improvement measures sensibly.
Conclusion: Reliable planning results from the interplay of several factors
SAP PP/DS can make an important contribution to realistic and transparent production planning. What matters, however, is how well data, parameters, processes and responsibilities are aligned.
Anyone who only optimises individual planning functions without looking at the underlying processes risks known problems persisting.
A structured analysis creates the basis for implementing improvements in a targeted and sustainable way.
Developing SAP production planning further in a targeted way
E&S Swiss Consulting supports companies in analysing and optimising their production planning with SAP PP/DS and PP.
With our production planning assessment, we look at people, processes, system usage, data, technology and continuous improvement as a whole.
◉ 1. People
Roles, skills and collaboration
⇄ 2. Processes
Planning workflows and decision rules
▣ 3. System usage
Actual use of SAP functions
≡ 4. Data
Quality and suitability of planning foundations
⚙ 5. Technology
System architecture and integration
↻ 6. Continuous improvement
Key figures, transparency and further development
About the author
Eric Starke is Founder & Management Consultant of E&S Swiss Consulting GmbH. He advises companies on production planning, PP/DS and supply chain in SAP S/4HANA projects. LinkedIn profile