FDRP Research Paper

Planning for complex systems lacks the convergence metrics and defect detection that manufacturing achieved through six decades of statistical process control. FDRP addresses this gap by treating each planning decision as a manufactured artifact with measurable convergence and gate-reviewed quality, applying SPC, 5S, RAMS, Andon, and configuration freeze directly to planning. Applied across 62 production runs (1,477 decisions) with 32 active subsystems, the system's strongest empirical contribution is the antimatter building programme: 68 LLM-generated expert specialists across two rounds produced 28,936 lines of analysis and 1,656 structured findings, discovering expert persistence as an emergent operational pattern. Cross-model verification with 3 independent LLMs revealed 4 systematic bias patterns, suggesting that N≥3 models are needed for blind spot detection. The architecture has since grown to 557 database tables, 188 views, 80 system rules, and 645 knowledge index entries. We propose progressive disclosure as the unifying architecture—a hypothesis under test.