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Manufacturing Resource Planning Architecture

This architecture helps you understand manufacturing resource planning on Databricks to improve production scheduling across manufacturing systems (MES, ERP, WMS).

Reference architecture with Databricks product elements overlaid on industry data sources and sinks

Data and platform flows

  1. Manufacturers can unify data from ERP, WMS, MES, and supplier systems to understand the resources needed to execute manufacturing operations. Native integrations like SAP Business Data Cloud Connect provide zero-copy access to production orders, inventory balances, material masters, and purchase orders. Lakeflow Connect ingests MES and enterprise data via ZeroBus and managed connectors, while Delta Sharing enables secure, real-time supplier collaboration without exposing sensitive information.
  2. ERP, WMS, MES, and supplier data lands in Bronze tables in their native schemas and formats due to native connectors. Silver tables clean, validate, and enrich this data into a unified MRP view. Gold tables provide trusted datasets for MRP workflows, predictive analytics, AI models, and dashboards, enabling accurate decision-making across inventory, production, and supply chain operations.
  3. Spark Declarative Pipelines (SDP) transform batch and streaming MRP data thereby handling lead times, inventory, production status, and supplier updates in near real-time. SDP manages dependencies, incremental changes, and out-of-order events, feeding dashboards, forecasts, optimization models, and AI-driven workflows with accurate, timely data.
  4. Transformed data powers dashboards for operational reporting, inventory audits, and supplier performance tracking to ensure manufacturing operations run smoothly. Databricks Apps allow planners to simulate production scenarios, monitor inventory, evaluate capacity, and visualize demand forecasts.
  5. Agent Bricks enables intelligent agents to interact with ERP, WMS, MES, and supplier systems. Agents detect potential stockouts, recommend order sequencing, provide forecast insights, and validate production schedules, continuously monitoring MRP workflows and triggering alerts or corrective actions for proactive, data-driven decisions.