Transportation Zone and Route Data Migration: A Structural Framework for Logistics Master Data
DOI:
https://doi.org/10.15680/IJCTECE.2023.0606035Keywords:
Transportation Zone, Route Data, Logistics, Master Data, Data Migration, Transportation Management, Supply ChainAbstract
Transportation zones and routes form the geographic and logistical backbone of enterprise distribution planning, yet they are frequently among the least systematically governed master data domains in a system migration program. Zones, which group destinations for route determination purposes, and routes, which define the legs, modes, and transfer points connecting an origin to a destination, accumulate structural inconsistency over years of ad hoc extension: new postal codes added to whichever zone seemed closest at the time, new routes created for one-off shipments and never retired, and zone boundaries that no longer reflect actual carrier service areas
This article presents a structural framework for migrating transportation zone and route master data into a target logistics or transportation management environment. It defines the structural fundamentals of zones and routes, characterizes common legacy data quality issues, and presents strategies for zone consolidation, route rebuilding, and route determination validation. The framework is illustrated with structural diagrams, network visualizations, benchmark charts, and reference tables covering the full migration lifecycle from legacy assessment through post-go-live stabilization
Illustrative benchmark data presented in Section 15 shows route determination accuracy improving from roughly 71 percent in the first structured test cycle to over 98 percent by the sixth cycle, demonstrating both the initial scale of legacy route determination gaps and the effectiveness of iterative, cycle-based validation in closing them before cutover
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