SAP IBP offers multiple solvers for supply planning: finite heuristics, infinite heuristics, and the optimizer. Choosing the right solver for a complex supply chain involves evaluating their capabilities.

Option A: Finite heuristics work with demand prioritizationThis is correct. Finite heuristics respect capacity constraints and can prioritize demand (e.g., based on priority rules or fair share settings), making them suitable for complex scenarios, as per SAP IBP’s supply planning documentation.

Option B: Push and Pull production models are used by the optimizerThis is correct. The optimizer supports both push (supply-driven) and pull (demand-driven) models, optimizing production and inventory across the network, a key feature for complex supply chains, per SAP IBP’s optimizer capabilities.

Option C: Prioritization of demand elements one by one is achieved by unconstrained heuristicsThis is incorrect. Infinite (unconstrained) heuristics ignore capacity and don’t prioritize demand sequentially; they plan supply assuming unlimited resources, unlike finite methods.

Option D: Planning results can be generated faster by the optimizerThis is incorrect. The optimizer, while powerful, is typically slower than heuristics due to its complex constraint-solving, not faster, per SAP IBP’s performance comparisons.

Thus, A and B are critical review points for solver selection, per SAP IBP’s official solver descriptions.