C_TS422_2023 Exam Dumps : SAP Certified Associate - SAP S/4HANA Cloud Private Edition, Production Planning and Manufacturing

In SAP S/4HANA’sgraphical planning table(e.g., CM21 or PP/DS Planning Board, /SAPAPO/CDPS0), inserting an operation withforward planning direction(start from a fixed date and schedule forward) at a specific time on a work center with an existing operation:

The new operation is inserted at the desired time; the previously dispatched operation is moved forward(C): With forward scheduling (configured in the strategy profile, e.g., /SAPAPO/CDPSC11, Planning Direction: Forward), the system inserts the new operation at the specified time (e.g., via drag-and-drop). To maintain capacity feasibility, the previously dispatched operation is shifted forward (later in time) to avoid overlap, respecting the work center’s finite capacity (CR02, "Relevant to Finite Scheduling" checked).

Options A and B (leaving the existing operation unchanged) would violate finite scheduling rules, causing overlaps. Option D (moving backward) contradicts forward planning, which schedules from the start point onward. This is per SAP’s dispatching behavior in graphical tools.

In an SAP S/4HANA Cloud Greenfield project,clean corefocuses on a standardized, extensible system with high-quality data. Key aspects for data quality include:

Efficiency(A): Clean core principles prioritize efficient processes and data structures, minimizing customizations that could degrade performance or complicate upgrades. Efficient data quality ensures streamlined operations (e.g., fast MRP runs) and leverages standard SAP functionalities effectively.

Stability(D): Maintaining a stable core with consistent, reliable data (e.g., master data integrity in MM03) prevents disruptions during updates or extensions. Stability ensures the system remains robust and predictable, a cornerstone of clean core in a Greenfield implementation.

Accuracy(B) is critical for data quality in general (e.g., correct BOM quantities), but clean core emphasizes systemic qualities over content accuracy, which is assumed.Timeliness(C) matters for operational data (e.g., stock updates), but it’s less tied to clean core’s structural focus. This is per SAP’s clean core guidelines.

In SAP S/4HANA Cloud Private Edition, tracking materials with varying characteristics across manufacturing processes and logistics requires:

Batch management(D): Batch management (activated in material master, MM01, General Plant Data/Storage view, field: Batch Management) assigns unique batch numbers to materials (e.g., via MSC1N). It tracks characteristics (e.g., viscosity, color) via classification (CL02, linked in MSC2N), ensuring this information is available in all logistics areas—production (e.g., CO11N goods issue), inventory (MMBE), and sales (VA01 batch determination). This is ideal for materials like chemicals with process-specific traits.

Process order management(A) (COR1) executes production but relies on batch management for characteristic tracking—it’s not the tracking tool itself.Engineering change management(B) (CC01) manages design changes, not runtime characteristics.Quality management(C) (e.g., QA01) inspects batches but doesn’t track characteristics across logistics—batch management underpins it. This is per SAP’s batch management capabilities.