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Company Type

Columbia Pipe, a commercial pipe distributor (250K active SKUs, 18 DCs); companion to SE-01 inside the JDE rescue — the Factory Physics SIOP framework that made the platform work.

What Drove the Need
  • No demand planning or supply chain capability existed for 250K active SKUs across 18 DCs after the prior firm's customized launch

  • Planners needed a daily business pulse, not spreadsheets

Business Impact
  • ~99% of manual planning and purchasing execution eliminated (Case 21)

Systems/Data Integration
  • Updates JDE forecasting, DRP, and MRP planning parameters; drives exception reports for the daily business pulse

Design
  • Factory Physics-based algorithms for cumulative demand distribution, standard deviation and mean, safety stock, and inter-DC transfer policies

  • Forecast-method assignment by demand-curve class per planning family, instrumented with MAPE and tracking signal, with append-only actuals

Technology Stack
  • Oracle PL/SQL against the JDE EnterpriseOne Oracle schema

  • JDE Demand Forecasting, Multi-Facility DRP, MRP

SIOP Algorithm Suite — Demand, Lead-Time & Safety Stock

Total demand and supply lead-time calculation, inventory safety-stock calculation, inter-DC transfer policies, and forecast spreading — automated analysis, reports, and system updates on hourly, daily, weekly, and monthly cycles.

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