SAP IBP Worst Practice #5: Heuristics on high gear

⚡ Fast planning ≠ smart planning. A lesson every supply chain team eventually learns the hard way.

A typical worst practice in SAP IBP implementations: using the Heuristic engine in highly constrained, multi-node scenarios — because it’s fast and familiar.

Heuristic plans sequentially — first priority gets served first. It’s fast, it produces a feasible plan, and it looks fine on paper. But when supply is constrained across multiple DCs, it can leave one node bloated while another faces a stockout. Technically feasible. Operationally costly.

Optimizer evaluates the entire network simultaneously — constraints, trade-offs, costs, priorities, sourcing logic — and solves for the best overall outcome. It takes longer to run, but the output is actually optimal.

⚡ Heuristic isn’t bad. Optimizer isn’t a silver bullet. The real worst practice is using one of them for everything.

✅ Heuristic → unconstrained or lightly constrained scenarios, what-if speed, simple sourcing logic.

✅ Optimizer → tight capacity, multi-echelon trade-offs, cost-driven decisions.

💡 The mature planner’s question isn’t “which engine is better?” — it’s “which engine fits this scenario?”

Use Heuristic when speed matters, constraints are simple, and sequential logic is sufficient.

Use Optimizer when you have multi-sourcing, capacity constraints, competing priorities, or complex distribution networks.

Fast planning ≠ smart planning. Choose the engine your business problem deserves. 🎯

What’s your experience? Are your teams defaulting to Heuristic out of habit — or choosing deliberately?

Still running Optimizer where Heuristic would do — or worse, the reverse? Connect with Valtitude to build a planning engine governance framework that actually fits your network. → https://valuechainplanning.com/usability-consulting/SAP-IBP

Read: SAP IBP Worst Practices WP4 — The Hidden Cost of Ignoring PLM Flags