Connecting shop-floor production data with dealer network visibility in one platform — so a production delay and its downstream dealer impact show up in the same operating picture, not two unrelated reports.
Representative manufacturing & distribution case study / solution blueprint prepared for senior-management discussion. Business outcomes shown are target outcomes and measurement areas unless explicitly validated in a customer deployment.
Production data stays inside machines and ERP, while dealer and distribution data stays inside separate order/scheme systems — management sees neither side in one place.
An integrated platform connects shop-floor machine data and ERP with dealer/distributor systems, into one governed view from production to distribution.
A single decision layer spanning production performance, quality and downtime alongside dealer orders, dispatch and outstanding — replacing manual reconciliation across both.
A manufacturer's operations run in two connected but usually disconnected worlds. On the shop floor, machines, PLCs and ERP generate continuous data on production, quality and downtime. On the commercial side, a dealer and distributor network generates orders, schemes, dispatch and payment activity, often coordinated through phone calls and spreadsheets. Senior management typically sees a monthly summary of each separately, days after the fact, with no way to connect a production issue to the dealer orders it will eventually delay.
This initiative creates one governed data and application layer spanning both domains — so a production delay, a quality issue or a dealer-side stock request can be seen, and acted on, as part of the same operating picture rather than two unrelated reports.
| Objective | What Success Looks Like |
|---|---|
| Connected data foundation | Machine/production data and dealer/distribution data share one governed platform, not two silos. |
| No disruption to control or commercial systems | PLCs, ERP and dealer systems keep operating independently; the platform integrates, it does not replace. |
| Cross-domain visibility | A production delay and its downstream dealer/dispatch impact are visible together, not in separate reports. |
| Vendor and system independence | A common framework absorbs multiple PLC protocols, ERP modules and dealer-portal data sources. |
| Scalability | A pilot on one plant/dealer region can extend to the full network without redesign. |
PLC/HMI/SCADA, ERP production and inventory modules, dealer portal, order and scheme systems.
Edge PLC connectors, ERP database/API extraction, and dealer-portal integration, each on its natural cadence.
Immutable, source-aligned storage with ingestion timestamp and source metadata for audit.
Tag/unit normalization, dealer and product master mapping, duplicate and out-of-range detection.
Production event correlation, downtime/quality calculations, dealer order and dispatch event modelling.
Production, quality, downtime, dealer-order and dispatch facts, with plant, machine, dealer and region dimensions.
Governed OEE, downtime and dealer-performance measures, reusable across dashboards.
Executive scorecard spanning plant performance and dealer network activity in one view.
Design Principle. The platform is never placed in the machine-control loop, and it never replaces the dealer portal or ERP as the system of record. It is a decoupled, read-oriented layer that brings both domains into one governed view — a database, network or analytics outage must not affect machine control or dealer transactions.
| Workstream | Key Activities | Primary Deliverables |
|---|---|---|
| Business & Use-Case Discovery | Select plant/dealer region; identify consumers; agree pilot success criteria. | Scope, baseline, acceptance criteria. |
| Plant & Systems Assessment | Identify PLC make/protocol, ERP modules, dealer-portal data and access. | Connectivity and integration plan. |
| Data Model Design | Define production, quality, downtime and dealer/order data model. | Approved cross-domain data model. |
| Edge & ERP Integration | PLC adapters, ERP extraction and dealer-portal integration. | Ingestion pipelines across both domains. |
| Data Quality | Tag/master data mapping, validation and exception handling. | Data-quality rulebook. |
| Warehouse & Semantic Layer | Model production, downtime, quality and dealer facts/dimensions; define KPIs. | Cross-domain analytical model. |
| Dashboards & Reports | Executive, plant and dealer-network dashboards. | Role-based dashboards and reports. |
| Testing & Commissioning | Value comparison, failure simulation and reconciliation testing. | Signed commissioning results. |
| Governance & Operations | Monitoring, access controls, backup and support model. | Data platform operating model. |
| Domain | Typical Sources | Business Context Added |
|---|---|---|
| Machine & process | PLC/edge, SCADA, historian | State, cycle, speed, process parameters, alarms and events. |
| Production & quality | ERP/MES, QMS, shift logs | Order, batch, SKU, good/reject quantities and defects. |
| Dealer & distribution | Dealer portal, order/scheme systems | Dealer orders, pricing tiers, schemes, dispatch and credit. |
| Commercial / channel | ERP/CRM/dealer systems | Customer, dealer, region, order, revenue and service context. |
| Master data | ERP/MDM/reference files | Plant, line, machine, product, dealer and region hierarchies. |
| Scenario | Expected System Behaviour |
|---|---|
| PLC or edge network temporarily unavailable | Local buffering and automatic store-and-forward; machine control is unaffected. |
| Dealer portal or ERP API unavailable | Retries with backoff; last-known dealer/order status is retained and flagged as stale. |
| Database or analytics outage | Both machine and dealer transactions continue independently; ingestion resumes automatically on recovery. |
| Duplicate event replay | Message identity/sequence keys prevent duplicate production or order records. |
| Fact / Dimension | Purpose |
|---|---|
| FactProduction / FactMachineState | Production counts, cycle data and machine-state durations by line and shift. |
| FactQuality / FactAlarm | Defect, rejection and alarm events tied to product, batch and machine. |
| FactDealerOrder / FactDispatch | Dealer orders, approvals, dispatch and delivery status by region. |
| DimPlant / Line / Machine | Manufacturing hierarchy for production analysis. |
| DimDealer / Region | Dealer and territory hierarchy for distribution analysis. |
| DimProduct / Batch | Product, SKU and batch context shared across both domains. |
Select the plant and dealer region with the clearest combined visibility gap. Management agrees the value hypothesis and baseline.
Prove secure PLC and dealer/ERP connectivity for a representative data set. Technical feasibility confirmed without disrupting operations.
Implement resilient collection, ingestion and the cross-domain warehouse. Reliable operations-and-distribution foundation is production-ready.
Expose production, downtime and dealer-network dashboards together. Management sees measurable value spanning both domains.
Onboard additional plants, lines and dealer regions. Rollout cost and risk reduce with each subsequent addition.
PLC vendor restrictions → assess before commitment; use supported protocol or gateway.
Dealer/ERP access limits → confirm during discovery; use file-based fallback.
Trying to integrate everything at once → prioritize one plant and region, expand in increments.
Select one plant and one dealer region with a clear combined visibility gap, complete a short discovery and technical feasibility exercise across both machine and dealer/ERP systems, establish baseline KPIs, and proceed with a focused pilot that demonstrates measurable value across production and distribution before scaling to the full network.
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