Collection
Mid-market manufacturing operations run on ERP systems that record decisions well but govern them poorly. The purchase order is in Business Central; the approval that preceded it was in an email thread. The quality hold is logged; the conversation that released it happened on the shop floor. The OTIF failure is tracked; the inventory alert that could have prevented it fired 48 hours before anyone acted on it.
The articles in this collection address the decision governance gaps that live between the ERP event and the operational outcome — the hours and days between a signal and an approved response, and what those gaps cost in OTIF failures, emergency freight spend, and COO bandwidth consumed mediating between plant managers who both need the same scarce component.
The framing here is operational, not theoretical. Every article addresses a specific scenario with a defined decision gap, a concrete governance failure pattern, and a structured model for closing it. The technology context is Dynamics 365 Business Central and OpsGrid — but the operating model problems are common to any mid-market manufacturer running multi-shift, multi-site operations on an ERP-connected environment.
What we mean by manufacturing decision governance
Manufacturing ERP systems are good at recording what happened — the PO that was raised, the quality hold that was applied, the production schedule that was changed. They are not designed to govern how those decisions were made: who owned the decision, what data they had, who approved it, and what happened in the hours between the triggering signal and the approved response.
The cost of that gap is distributed across the P&L in ways that are rarely traced back to their source. Emergency freight costs that represent the price of approval latency. OTIF failures that occurred because an inventory alert fired on a Friday night and waited until Monday. COO bandwidth consumed mediating shortage allocation between two plant managers who both had legitimate needs and no pre-agreed criteria for resolving them.
Manufacturing decision governance closes these gaps structurally — not by improving forecasting or adding more alerts, but by defining who owns each decision, what triggers a response, what the SLA is, and how an approved decision reaches the ERP without a manual translation step. The articles in this cluster cover the specific scenarios where that governance gap is most expensive and most addressable.