Validation of supply chain data structures

Abstract

Systematically and comprehensively identifying and evaluating structure changes in MRP runs. A multi-step process employs a crawler analytic to: transform dated structure inputs to time based patterns which represent effectivity windows within the plan horizon for child parts on BOM or interplant records; employ a multi-stage multi dimensional recursive optimizing pattern matcher method to associate effectivity window patterns, within the current cycle MRP input space, across a sequential series of MRP cycles, and across like entities, into transition sets which likely represent shifts in BOM content and/or interplant relationships; tie changes to top level demand drivers and effected component items; rationalize in and cross cycle, cross location, structure differences with trends in component and driver demand to identify candidate soft spots in part and/or relationship changes which can negatively impact the exploded demand result; distill the analysis to a consumable view which visually renders the problem and impact.