ProveIT

A suite of fully-functional Industrial Intelligence applications built on the FUUZ platform — demonstrating how a single platform can unify IIoT telemetry, MES, WMS, OEE, predictive analytics, and enterprise data brokering across 7 global manufacturing sites.

ProveIT was built in 2–3 weeks part-time to showcase the speed and breadth of what's possible on FUUZ.

The Scenario

An enterprise oversees 7 global manufacturing sites — 3 existing FUUZ-enabled plants plus 4 newly acquired facilities. The mandate: scale from plant-level to a governed enterprise deployment with a Unified Namespace (UNS) across all sites, no disruptions to live operations, and compliance with data standards for future acquisitions.

ProveIT proves it can be done — with three FUUZ applications working together.

Three Applications, One Platform

| Application | What It Does | Models | Screens | Flows | |-------------|-------------|--------|---------|-------| | Enterprise C — Full App | IIoT telemetry, OEE, production tracking, alarms, and predictive ML across 4 sites and 500+ assets | 28 | 26 | 39 | | Enterprise B — WMS | Finished goods warehouse management with receiving, inventory, cycle counting, AGV putaway, and order fulfillment | 38 | 33 | 33 | | Data Broker | Multi-system integration hub connecting production, robots, SCADA, WMS, and ERP via MQTT, OPC UA, and REST | 34 | 14 | 22 | | Totals | | 100 models | 73 screens | 94 flows |

What Problems Does ProveIT Solve?

Strategic (C-Suite)

| Problem | How ProveIT Solves It | |---------|----------------------| | No unified view of operational costs | Real-time production, OEE, inventory, and downtime data published to a single enterprise namespace — giving finance and operations a shared source of truth | | Limited supply chain visibility | Work orders, production logs, putaway moves, and shipments published to UNS in real time for ERP and customer visibility | | Inconsistent data across sites | Standardized semantic models and KPIs (CESMII i3X aligned) across all sites — same data structure whether it's automotive stamping in Detroit or biologics in Dallas | | Onboarding acquisitions takes too long | A repeatable digital blueprint: import the package, configure your equipment hierarchy, and you're running — no custom development per site | | Real-time financial impact to G/L | Detailed inventory and batch data published in real time for ERP integration |

Tactical (Plant Floor)

| Problem | How ProveIT Solves It | |---------|----------------------| | Paper-based workflows | Digitized production tracking, batch release, receiving, cycle counting, and operator HMI panels replace clipboards and spreadsheets | | No real-time downtime visibility | ISO 22400-compliant workcenter state tracking with 8 modes and 14 states, automatic OEE calculation every hour | | Alarm fatigue / no alarm lifecycle | Full alarm management with 8 lifecycle states (Active → Acknowledged → Cleared), triggered automatically from telemetry limit violations | | Reactive maintenance | Machine learning detects anomalies, forecasts values with confidence bands, and calculates cross-asset correlations — shifting from "fix it when it breaks" to "fix it before it breaks" | | Compliance gaps (batch release) | Digital batch release workflow for process/bio manufacturing with full traceability | | Inventory accuracy gaps | GS1/SSCC-compliant handling unit tracking, barcode-driven inventory operations (move/merge/split), and parameterized cycle counting with blind count support | | Logistics orchestration | Directed putaway with product-preferred locations, AGV-assisted material flow, and truck loading/shipping management | | Disconnected production systems | Data Broker normalizes data from multiple enterprises, robots, and protocols (MQTT, OPC UA, REST) into a unified ISA-95 hierarchy |

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Enterprise C — Full App

Package: ProveIT Enterprise C - Full App@0.0.1.fuuz

The core IIoT + MES + OEE + Predictive Analytics application managing real-time telemetry ingestion, production execution, alarm management, and machine learning across 4 manufacturing sites.

28 Data Models

| Category | Models | What They Track | |----------|--------|-----------------| | Physical Hierarchy | Site, Area, Line, Cell, Asset | Equipment structure: sites → areas → lines → cells → assets → data points | | Telemetry | DataPoint, TelemetryRaw, TelemetryRawBool, TelemetryRawString, TelemetryHourly, TelemetryDaily | High-frequency sensor data (numeric, boolean, string) with hourly and daily statistical aggregations (avg, min, max, p05–p95, stdDev, cv) | | OEE & Production | Workcenter, WorkcenterHistory, Mode, State, OeeHourly, OeeDaily, ProductionLog | ISO 22400 OEE: Availability × Performance × Quality calculated hourly and daily with full state/mode tracking | | Downtime Events | EventCategory, Event | 12 downtime categories and 75 specific event reasons | | Production Master Data | Product, WorkOrder | Products with cycle time standards, work orders with scheduling and completion tracking | | Alarm Management | Alarm, AlarmState | Alarm lifecycle from trigger through acknowledgment to clearance, with 8 states | | Machine Learning | TelemetryBaseline, TelemetryForecast, PatternInsight, CorrelationPair | EWMA baselines, predictive forecasts with confidence bands, anomaly detection, and cross-asset Pearson correlations |

26 Screens

• 6 HMI Control Panels — Operator-facing panels for bioreactors, filtration, buffer prep, chromatography, robotics, and production control
• 4 OEE Dashboards — Real-time OEE visualization, reliability analysis, hourly and daily drill-down
• 6 Data Management Screens — Assets, products, workcenters, workcenter history, production logs, alarms
• 4 Telemetry Viewers — Raw numeric, raw string, hourly aggregation, daily aggregation
• 5 ML/Analytics Screens — Baselines, forecasts, pattern insights, correlation pairs, and a dedicated ML dashboard
• 1 Batch Release Dialog — Compliance workflow for process manufacturing

39 Data Flows

• Telemetry Ingestion — Real-time data collection, cross-tenant ingest, hourly and daily aggregation
• OEE Engine — Hourly OEE calculation, daily rollup, planned availability, OEE stub generation
• Production Automation — Weekly work order generation, daily production simulation
• Workcenter State Machine — ISO 22400 state change tracking with mode/state transitions
• Alarm Processing — Automatic alarm creation from telemetry anomalies
• Machine Learning — Anomaly/pattern detection, EWMA forecasting, cross-asset correlation
• UNS Publishing — 5 integration flows pushing telemetry, alarms, ML insights, workcenter history, and production data to the enterprise UNS
• HMI Backends — 6 web flows powering the operator control panels

Demo Data: 4 Sites, 4 Industries

| Site | Location | Industry | What's Modeled | |------|----------|----------|----------------| | DET | Detroit | Automotive | Stamping, CNC machining, welding, and assembly lines producing brake components, control arms, sensor housings, and transmission gear blanks | | HOU | Houston | Chemical / Process | Batch and continuous reactors, distillation, filtration, and heat exchange producing resin compounds, polymer bases, and additive blends | | MKE | Milwaukee | Food & Beverage | Batch mixing, continuous blending, filling, and cartoning lines producing sauces, dressings, juice, and tomato paste | | Bio DFW | Dallas | Biologics / Biopharma | SUB-250 bioreactor, TFF-300 filtration skid, SUM-500 buffer vessel, CHR-01 chromatography skid with ISA-style instrumentation |

By the numbers: 4 sites, 10 areas, 19 lines, 40 cells, 504 assets, 1,000+ data points, 43 workcenters, 21 products, 534 work orders, 47 units of measure.

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Enterprise B — WMS

Package: ProveIT Enterprise B WMS@0.0.1.fuuz

A finished goods warehouse management system for a beverage manufacturing/distribution operation — handling the full lifecycle from inbound receiving through inventory management, cycle counting, AGV-directed putaway, and outbound order fulfillment.

38 Data Models

| Category | Models | What They Track | |----------|--------|-----------------| | Inventory Management | Inventory, InventoryStatus, InventoryTrace, Lot, HandlingUnit, Product, ProductCategory, Adjustment, TransactionType, Process | Core inventory with barcode/serial tracking, GS1/SSCC-compliant handling units, lot traceability, and inventory operations (move/merge/split) with full audit trail | | Cycle Counting | Count, CountLine, CountLineInventory, CountParameters, CountStatus | Parameterized cycle counting by area, product, zone, or date range with blind count support, barcode scanning, recount capability, and automatic inventory adjustment | | Order Fulfillment | Order, OrderLine, OrderLineRelease, OrderStatus, OrderType, OrderLineReleaseStatus, OrderLineReleaseType | Purchase order processing with multi-release scheduling (firm/forecasted/planned), partial fulfillment support, and full lifecycle tracking | | Business Partners | BusinessPartner, BusinessPartnerAddress | Customer/supplier master data with multi-address support, credit limits, and payment terms | | Receiving | Receipt, ReceiptLine, ReceiptLineOrderLineRelease, ReceiptException, ReceiptExceptionReason, ReceiptStatus | Inbound receiving with ASN/BOL tracking, lot assignment, receipt confirmation, and exception handling (damaged, quantity discrepancy, wrong product, expired) | | Site Management | StorageUnit, StorageZone, StorageUnitStatus, Area | Warehouse layout with ISA-95 aligned hierarchy — areas, zones (with flags for hazardous, refrigerated, high-value, overflow), and storage units (bins, shelves, docks, tr