An aerospace RFQ should include the exact technical baseline, quality and traceability requirements, revision-controlled documents, delivery expectations, commercial terms, and supplier response instructions. Missing or conflicting data is a common cause of requotes, planning errors, first article delays, and downstream NCRs, especially in brownfield environments with weak ERP, PLM, and QMS alignment.

Backlog execution risk depends heavily on what you can reliably see from suppliers. The most critical data is forward‑looking and order‑specific: confirmed capacity and dates at line/item level, constraint and material status, quality/NCR trends, and change notifications. Its usefulness depends on data quality, integration, refresh rate, and how well it aligns to your own PO, part and work-order structures.

The best aerospace supplier collaboration KPIs are not limited to on-time delivery. Use a balanced set covering schedule reliability, quality escapes, responsiveness, engineering change execution, traceability completeness, and recovery performance. KPI usefulness depends on clean supplier, ERP, quality, and receiving data plus consistent definitions across sites and programs.

As early as concept and requirements definition, not after design release. In aerospace, late manufacturing involvement usually increases rework, tooling changes, qualification effort, supplier issues, and downstream traceability problems. The exact timing depends on program maturity, product novelty, and how well engineering, quality, supply chain, and manufacturing systems are connected.

RFQ decisions are typically documented through a controlled contract review process, not by keeping an email trail alone. To stand up in AS9100 and customer audits, the record usually needs clear evidence of requirements review, risks, assumptions, approvals, revisions, and linkage to the final quote or order. The exact record set depends on your QMS, ERP, CRM, and how well those systems are integrated.

A connected execution layer changes backlog and capacity decisions by feeding real‑time, route‑level data from the shop floor into planning. Instead of static assumptions, planners see true constraints, yields, changeover losses, and skill gaps. Benefits depend on integration quality, data discipline, and validated workflows in a brownfield MES/ERP environment.

There is no fixed “right” number of status updates from execution to ERP. You need enough events to support planning, costing, and compliance, but not so many that you overload interfaces, users, or validation. Most plants converge on a small set of standardized milestones plus a few exception events, tuned by product risk, system maturity, and integration constraints.