SAP C_TS422_2023 Exam With Confidence Using Practice Dumps

In SAP S/4HANA PP/DS, theFinite Scheduling with Reversestrategy (configured in the strategy profile, transaction /SAPAPO/CDPSC11) schedules operations backward from a fixed end date, respecting finite capacity. To allow scheduling in the past (e.g., before today’s date):

Specify a negative offset time(A): In the strategy profile (Detailed Scheduling tab, field: Scheduling Offset), a negative value (e.g., -2 days) shifts the scheduling reference point into the past. This allows operations to be scheduled before the current date, accommodating scenarios where late planning or historical adjustments are needed, while still respecting capacity constraints.

Negative opening period(B) isn’t a standard PP/DS parameter—it’s a production order term (MRP 2 view) for order start buffers, not scheduling control.Negative planning horizon(C) (Planning Horizon in /SAPAPO/CDPSC11) defines the future planning scope, not past scheduling.Negative PP/DS horizon(D) refers to the PP/DS planning horizon (Customizing), which limits planning scope forward, not backward. This is per SAP’s PP/DS scheduling configuration.

Forecasting in SAP S/4HANA’s demand planning cycle, managed via transaction MC87 or MD61, generates planned independent requirements (PIRs) based on historical data and external factors. The process includes:

One-off events(A): These are special occurrences (e.g., promotions, trade shows) that can be manually entered or factored into forecast models (e.g., using event-based forecasting in the forecast profile) to adjust demand predictions.

Market intelligence(D): This refers to external data or insights (e.g., market trends, competitor actions) that planners can incorporate into forecasting models, often manually or via integration with tools like SAP Integrated Business Planning (IBP).

Past sales order quantities(E): Historical sales data (from transaction MD73 or LIS) is a core input for statistical forecasting models (e.g., constant, trend, seasonal models), allowingthe system to predict future demand based on past consumption.

Past production planning quantities(B) are not typically used in demand forecasting, as they reflect supply rather than demand.Past quotation quantities(C) could influence sales forecasting in some scenarios but are not a standard input in SAP’s demand planning cycle, which focuses on confirmed sales orders. This aligns with SAP’s forecasting methodology in Demand Management.

In SAP S/4HANA PP/DS, achieving a feasible production plan under capacity constraints involves:

Determine a time period with available capacity on the planning board(C): Using the DS Planning Board (/SAPAPO/CDPS0), planners can visually identify periods with free capacity on resources and manually or automatically schedule orders into those slots, ensuring feasibility.

Increase the capacity supply in a time-phased interval(D): In the work center (CR02, Capacity tab) or PP/DS resource (/SAPAPO/RES01), you can define additional capacity (e.g., shifts, overtime) for specific time intervals via capacity variants, allowing more orders to fit within constraints.

Form optimum sequences to reduce setup times(E): Using heuristics (e.g., SAP_PP_020) or the PP/DS Optimizer, you can sequence operations on resources to minimize setup times (defined in routing, CA02), maximizing throughput and resolving capacity bottlenecks.

Execute an infinite planning run(A) ignores capacity constraints, creating an unfeasible plan requiring later adjustment—not a solution.Reduce the planning time interval(B) (e.g., horizon in /SAPAPO/CDPSC11) limits scope but doesn’t address capacity directly. This is per SAP’s PP/DS capacity planning strategies.