Configuration Management: Stop the BOM Chaos!

Configuration Management is still one of the hardest problems in PLM—and this panel doesn’t sugarcoat it.In this episode of the Future of PLM Podcast, Michael Finocchiaro is joined by Rob Ferrone, Brion Carroll, Jim Brown, Oleg Shilovitsky, and Eric Schrader (Propel) to break down why BOMs still don’t match, why “single source of truth” is mostly fiction, and where AI might actually help.Key themes:Why CM ≠ BOM managementThe myth of a single version of truthVariant chaos and effectivity complexityWhy most companies still fail at adoptionAI, product memory, and the future of CMIf you work in PLM, engineering, manufacturing, or digital thread—this is a must-watch.👇 Drop your thoughts in the comments:Where is configuration management breaking down in your org?⏱️ TIMELINE00:00 – Intro + panel lineup00:09 – What is configuration management (5 definitions)03:12 – Biggest false beliefs about CM“We have a single source of truth” (we don’t)CM seen as bureaucracy vs performance leverMethodology ≠ success (adoption is the issue)06:47 – Minimum data model for CMIdentity, effectivity, baseline, traceabilityWhy data governance matters more than tools10:22 – Where CM actually lives (PLM, ERP, MES, everywhere)The “octopus problem” across systems15:12 – Hardest real-world CM problemsVariant management = BOM chaosEffectivity vs configuration confusionSoftware + firmware breaking traditional models21:53 – Debate: Effectivity (date vs serial vs lot)Why “it depends” is unavoidableSafety vs cost trade-offs24:09 – Configuration rules debate150% BOM vs model-based approachesWhy rules drift over time26:10 – Digital thread reality checkWhy duplication is inevitableImportance of product identity30:09 – As-designed vs as-built vs as-maintainedWhere control breaks down (hint: service)Why “as maintained” is the weakest link39:38 – AI in configuration managementChange impact analysisData structure vs AI hype“AI is useless without governed data”48:55 – When is the ChatGPT moment for PLM?Simplicity vs complexityPeople problem vs technology problemProduct-as-agent concept59:10 – Final thoughtsData governance as the core issueWhy we’re still having the same debates after 20 years🎯 Key TakeawaysThere is no single source of truth—only closest approximationsVariant + effectivity = core chaos engineCM failure is mostly organizational, not technicalAI will help—but only if data is structured and governedThe real frontier: making CM consumable across the enterprise📢 Follow / ConnectLinkedIn: Michael FinocchiaroMore content: DemystifyingPLM.comEvents: Threaded! Conference Series