# Manufacturing Intelligence — From Shopfloor to Network in One View Infoveave's manufacturing intelligence platform unifies MES, ERP, and shopfloor data so plant teams work from one live source for OEE, downtime, FTT, and plan variance — not separate exports that never agree. * OEE, throughput, and scrap rate defined once — every plant, line, and shift counts them the same way. * Downtime reason codes, quality defects, and production actuals in one place — not a spreadsheet someone emails between the shopfloor and the boardroom. * Ask Fovea why OEE dropped, which line is at risk, or where plan variance is building — plain answers, no dashboard tour. By signing up, you agree to our [Terms](/terms-and-conditions) and [Privacy Policy](/privacy-policy). ![Manufacturing analytics dashboard showing OEE and shopfloor performance](https://cdn.infoveave.com/industry-pages/Industry_hero_section/Manufacturing.webp) ## Common Manufacturing Data & Visibility Challenges Sound familiar? We hear these from plant managers, quality engineers, and ops leaders all the time Disconnected MES and ERP data Your MES says 920 units. Your ERP says 880\. Finance and production can't agree which number to plan against — until the monthly close. Downtime logged without reason codes You find out a line stopped after the shift ends — with no structured reason, owner, or minutes lost for the daily production review. OEE calculated in spreadsheets Availability, performance, and quality still live in Excel files passed between plants — and nobody agrees on the formula. No standard way to measure performance Every plant counts OEE differently. Quality, maintenance, and production each have their own scorecard — and the network roll-up never reconciles. Data you can't trust Someone questions the numbers in every production meeting. Scrap rate, throughput, OEE — three versions, three owners, and decisions wait. Too much data, too few answers Plenty of dashboards, not enough answers — why OEE dropped, which line is at risk, or what drove yesterday's plan miss. \~55–60%global average OEE for manufacturers actively tracking performance[Source: Evocon](https://evocon.com/articles/world-class-oee-industry-benchmarks-from-more-than-50-countries/) $260K/hraverage cost of unplanned manufacturing downtime across sectors[Source: Siemens TCOD 2024](https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024%5Foriginal.pdf) \~3%of manufacturers consistently sustain world-class OEE of 85% or above[Source: Evocon](https://evocon.com/articles/world-class-oee-industry-benchmarks-from-more-than-50-countries/) ## What a Manufacturing Intelligence Platform Must Deliver You don't need another dashboard to stare at. You need shopfloor, quality, maintenance, and supply chain on the same live numbers — with a way to get answers when something shifts on the line. ### OEE & shopfloor performance Availability, performance, and quality on live MES and ERP data — with reason codes that hold up in the shift review, not a number someone retyped from a paper log. [OEE guide for plant leaders →](/resources/guide/oee-guidebook-for-manufacturing-executives) ### Quality & first-time-through FTT, scrap, and defects on one timeline — from the shopfloor capture through quality escalation, so rework doesn't hide how the line is really running. [FTT operating model →](/resources/blogs/first-time-through-ftt-in-manufacturing) ### Production planning & network alignment Plan vs. actual, capacity, and inbound material tied to the schedule — plus supply chain visibility when a late delivery is about to stop the line. [Supply chain intelligence →](/solutions/industry/supply-chain) ### AI that answers operational questions Ask Fovea why OEE fell, which downtime pattern matters, or where plan variance is building — plain answers from the same data behind your dashboards. [Meet Fovea →](/platform/fovea-agentic-ai) ## What Manufacturers Can Do With Infoveave Shopfloor integration through multi-plant KPI consistency — here's what Infoveave does at each step, and how the pieces fit together. Manufacturing Data Integration — MES, ERP, SCADA & Shopfloor Systems PLCs, SCADA, MES, ERP, WMS, supplier portals — manufacturing data is everywhere and rarely in sync. Infoveave pulls it into one live repository so production, quality, and finance stop arguing about whose export is right. * Connect SCADA, MES, ERP (SAP/Oracle), WMS, and supplier systems without custom ETL * Eliminate reconciliation gaps between plant-level, warehouse, and corporate reporting * Real-time sync of production actuals, downtime events, quality defects, and plan targets [Explore Unified Data Platform →](/unified-data-platform) Shopfloor & Production Data Automation Production & SKU Data Quality Validation Manufacturing KPI Governance & Multi-Plant Consistency Real-Time OEE, Quality & Production Analytics Dashboards GenAI for Manufacturing — AI-Powered Plant Intelligence 360°Visibility from shopfloor to supply network OEEAvailability, performance, and quality — counted the same everywhere Real-timeLive views from MES, ERP, and shopfloor capture GenAIAsk Fovea a plant question in plain English Success StoryManufacturing ![Manufacturing shopfloor analytics dashboard for OEE and production performance](https://cdn.infoveave.com/industry-pages/Industry_hero_section/Manufacturing.webp) ### Fortune 500 Manufacturer Digitizes Shopfloor Analytics with Infoveave “Infoveave gave us a unified view across production, planning and supply chain — eliminating the multiple versions of truth we were dealing with.” Operations Director, Fortune 500 Manufacturing Company [Read the full story](/resources/success-stories/how-a-leading-manufacturing-plant-improved-their-oee) ### From Shopfloor Data Capture to OEE Decisions Most plants don't lack data — they lack a path from capture to action. This is the sequence we see work: reliable inputs first, then OEE decisions your team can repeat every shift. 1. [1CaptureClean shopfloor inputs — forms, scans, reason codes](/platform/last-mile-data-collection) 2. [2UnifyProduction, downtime, quality, and plan in one stream](/resources/blogs/how-to-automate-reports-across-multiple-data-sources) 3. [3VisualizeLine boards and executive OEE views that update live](/resources/blogs/oee-visualization) 4. [4AnalyzeLoss tree and reason codes — know what to fix first](/resources/blogs/the-oee-loss-tree-addressing-the-six-big-losses) 5. [5OperateA downtime rhythm your team can run every shift](/resources/blogs/downtime-analytics-operating-model-for-manufacturing) 6. [6GovernFTT and quality data that drives action, not just reports](/resources/blogs/first-time-through-ftt-in-manufacturing) ## See Your Plant Data Live This is what it looks like when shopfloor, quality, and production data actually talk to each other. [![Iframe-Images](https://cdn.infoveave.com/Iframe-dashboard-screenshots/Manufacturing-Iframe-Dashboard-screenshot.webp)](https://factory.infoveave.app/v8/View/ZmFjdG9yeXw3YjMyNzk=/Desktop/600) ## Want to see your plant data in here? Book a short walkthrough — we'll show you live dashboards built from shopfloor, quality, and production data. [Book a Demo](/book-a-demo?intent=manufacturing&from=%2Fsolutions%2Findustry%2Fmanufacturing)[Start Free Trial](/sign-up) ## The manufacturing KPIs your plant teams actually run on Connect MES, ERP, and shopfloor data — then track OEE, throughput, downtime, FTT, and scrap rate without the Monday-morning export. #### Overall Equipment Effectiveness (OEE) The number most plant reviews start with — availability × performance × quality on production data you trust. Track by line, shift, and plant so network roll-ups add up without manual fixes. OEE = Availability × Performance × Quality #### Throughput Good units per hour or shift. When MES and ERP disagree, this is usually the metric that kicks off the production meeting — so it helps to define it once and stick to it. Throughput = Produced quantity / Time (hour or shift) #### First Time Through (FTT) Units that pass without rework. When FTT drops, you're often looking at setup problems, quality drift, or gaps in how defects get logged — fix those before scrap and claims pile up. (Good units without rework / Total units started) × 100 #### Downtime Percentage How much of scheduled time you lost to stops — planned or not. Pair it with solid reason codes so maintenance and kaizen teams focus on the losses that actually matter. (Downtime minutes / Scheduled production time) × 100 #### Scrap Rate Output thrown away because of quality failures. Scrap you catch late costs more — in material, OEE, and rework capacity — so track it by line and defect type once capture quality is solid. (Scrap quantity / Total produced quantity) × 100 #### Cycle Time How long one unit or batch takes end to end. When cycle time creeps up, bottlenecks, slow changeovers, or performance losses are usually already in motion — well before the monthly OEE review. Cycle Time = Total production time / Units produced #### Plan Attainment Actual output vs. what you scheduled, by line and SKU. Low attainment with busy-looking utilization often points to bad plans, changeover drag, or missing materials — not just operator performance. (Actual production / Planned production) × 100 #### Mean Time Between Failures (MTBF) Average runtime between unplanned stops. Useful on maintenance scorecards when downtime is logged with consistent reason codes and timestamps from MES or nGauge. MTBF = Total operating time / Number of failures [View Manufacturing KPIs](/resources/kpi-library/top-10-kpis-for-manufacturers-to-track) ### OEE Executive Guide & Operating Model Running OEE across multiple plants? This guide covers the data setup, dashboard layout, and governance patterns that scale without breaking every time you add a line. [Read the guide →](/resources/guide/oee-guidebook-for-manufacturing-executives) ## From the shopfloor to your supply network — one view of what's actually happening. 1 ![AI for data visualization](https://cdn.infoveave.com/unify-simplify-amplify/services-shape.svg)![AI for data analytics](https://cdn.infoveave.com/unify-simplify-amplify/services-shape-1.svg) ### Unify Data Pull MES, SCADA, ERP, WMS, and supplier data into one place. Production, quality, maintenance, and supply chain teams work from the same live numbers — not yesterday's exports. 2 ![AI for data visualization](https://cdn.infoveave.com/unify-simplify-amplify/services-shape.svg)![AI for workflow automation](https://cdn.infoveave.com/unify-simplify-amplify/services-shape-2.svg) ### Clarify Insights Turn production data into something your team can act on — OEE dips, downtime patterns, quality drift, and plan variance, flagged automatically with consistent reason codes. 3 ![AI for data visualization](https://cdn.infoveave.com/unify-simplify-amplify/services-shape.svg)![Analytics in telecom industry](https://cdn.infoveave.com/unify-simplify-amplify/services-shape-3.svg) ### Activate Decisions When something needs attention, your team knows. Maintenance alerts, downtime escalations, supplier risks — handled on data everyone trusts. #### Shopfloor & OEE Analytics Track availability, performance, and quality losses across lines and plants in real time. Tie downtime to reason codes and shift owners so OEE becomes a daily habit, not a monthly report. #### Quality & First-Time-Through Capture defects, rework, and scrap with structured forms. Track FTT by line, model, and shift — and route quality issues to the right people before they turn into customer claims. #### Downtime & Maintenance Intelligence Give downtime data a structure: consistent reason codes, loss-minute priorities, and a clear split between maintenance fixes and kaizen work. Connect machine health signals to predictive maintenance where the data supports it. #### Production Planning & Variance Compare plan vs. actual by line, SKU, and shift on live MES and ERP data. Catch schedule slips, capacity gaps, and backlog risk before you miss a customer commitment. #### Supply Chain & Warehouse Visibility See inbound raw materials, warehouse movements, and outbound orders alongside your production schedule. Know when a late supplier delivery is about to stop the line. #### Multi-Plant KPI Governance One definition of OEE, throughput, and scrap across every facility. Plant managers see their site; network leaders see the roll-up — with a clear trail from sensor or scan to the board report. #### Stop reconciling. Start fixing what hurts OEE. Shopfloor, quality, and production on one platform — with Fovea when you need a fast answer. [Book Demo](/book-a-demo?intent=manufacturing&from=%2Fsolutions%2Findustry%2Fmanufacturing)[Start Free Trial](/sign-up) ## Related manufacturing solutions [Infoveave for Australia](/australia)[Operations Analytics](/solutions/function/operations)[Supply Chain Intelligence](/solutions/industry/supply-chain)[Automotive Analytics](/solutions/industry/automotive)[OEE Executive Guide](/resources/guide/oee-guidebook-for-manufacturing-executives)[Manufacturing KPI Library](/resources/kpi-library/top-10-kpis-for-manufacturers-to-track) Last updated: July 2026 ## Frequently Asked Questions ##### What is a manufacturing intelligence platform? Infoveave's manufacturing intelligence platform connects MES, ERP, SCADA, and shopfloor data into one trusted layer — then delivers dashboards, alerts, and AI answers on top. Unlike a standalone BI tool, it includes data integration, quality checks, consistent KPI definitions, and automation so production, quality, and maintenance teams trust OEE, downtime, and FTT from the line to the network. ##### How do you choose a manufacturing intelligence platform? ##### How should manufacturing teams structure data before building OEE dashboards? ##### What is manufacturing intelligence? ##### How does Infoveave automate manufacturing data operations? ##### How can AI assist manufacturing operations beyond static dashboards? ##### How does Infoveave handle manufacturing data visualization? ##### How does Infoveave help manufacturers improve OEE and plant performance? ## Learn More [OEE Guidebook for ExecutivesOEE Guidebook for ExecutivesThe OEE operating model executives use — data setup, dashboard layout, and how to scale across plants without reinventing the formula each time.Read article](/resources/guide/oee-guidebook-for-manufacturing-executives)[OEE Loss Tree PlaybookOEE Loss Tree PlaybookA loss-tree framework that separates availability, performance, and quality losses — with reason codes your team can actually act on.Read article](/resources/blogs/the-oee-loss-tree-addressing-the-six-big-losses)[Downtime Analytics PlaybookDowntime Analytics PlaybookTurn downtime data into a structured action system — reason-code governance, loss-minute prioritization, maintenance vs kaizen routing, and review cadence.Read article](/resources/blogs/downtime-analytics-operating-model-for-manufacturing)[FTT Quality Operating ModelFTT Quality Operating ModelBuild a reliable FTT tracking system — from formula standards and defect taxonomy to shift escalation loops and a 30-60-90 roadmap for quality operations.Read article](/resources/blogs/first-time-through-ftt-in-manufacturing)[Plant Manager KPI DashboardPlant Manager KPI DashboardA practical 15-metric dashboard model covering OEE, throughput, downtime, FTT, MTBF, MTTR, and delivery reliability for shift-level plant decisions.Read article](/resources/blogs/manufacturing-kpi-dashboard-15-metrics-plant-managers)[Data Automation in ManufacturingData Automation in ManufacturingFrom predictive maintenance to inventory optimization — how data automation unlocks efficiency, reduces errors, and prepares factories for governed analytics.Read article](/resources/blogs/how-data-automation-tools-are-transforming-manufacturing)[Manufacturing KPI LibraryManufacturing KPI LibraryThe ten manufacturing KPIs that actually move the needle — OEE, throughput, scrap rate, and how to monitor them in real time with governed definitions.Read article](/resources/kpi-library/top-10-kpis-for-manufacturers-to-track)[Manufacturing OEE Success StoryManufacturing OEE Success StorySee how a manufacturer used Infoveave to digitize shop-floor analytics, deploy real-time OEE dashboards, and improve operational visibility across production and planning.Read article](/resources/success-stories/how-a-leading-manufacturing-plant-improved-their-oee)[Line Dashboard Design GuideLine Dashboard Design GuideDesign executive boards and line boards that help manufacturing teams act on OEE, downtime, FTT, and plan variance during a shift — not just report on them.Read article](/resources/blogs/line-performance-dashboard-design-for-manufacturing)[Try Manufacturing Sample DatasetsTry Manufacturing Sample DatasetsSample OEE and quality datasets you can load into Infoveave and explore — no setup required.Read article](/resources/sample-datasets) Ready to see Infoveave in action? Book a personalised demo with our data experts [Book a Demo](/book-a-demo) [![ISO 27001](https://cdn.infoveave.com/certificates-logos/new/iso27001.svg)](https://trust.infoveave.com "ISO 27001 Certified")[![ISO 27017](https://cdn.infoveave.com/certificates-logos/new/iso27017.svg)](https://trust.infoveave.com "ISO 27017 Certified")[![ISO 27701](https://cdn.infoveave.com/certificates-logos/new/iso27701.svg)](https://trust.infoveave.com "ISO 27701 Certified")[![GDPR](https://cdn.infoveave.com/certificates-logos/new/gdpr.svg)](https://trust.infoveave.com "GDPR Compliant")[![HIPAA](https://cdn.infoveave.com/certificates-logos/new/hipaa.svg)](/infoveave-awards-and-updates "HIPAA Compliant")[![CCPA](https://cdn.infoveave.com/certificates-logos/new/ccpa.svg)](https://trust.infoveave.com "CCPA Compliant")[![AICPA](https://cdn.infoveave.com/certificates-logos/new/aicpa-soc-2.svg)](https://trust.infoveave.com "SOC 2 Type II Certified")[![CSR Logo](https://cdn.infoveave.com/footer-svgs/csr.svg)](/infoveave-awards-and-updates "CSR Certification")[![Capterra Reviews — Infoveave](https://brand-assets.capterra.com/badge/ea3ac4b1-3dc8-48a5-999c-0f685147cfd3.svg)](https://www.capterra.com/p/181076/infoveave/reviews/) © 2026 [Noesys Software Pvt Ltd](https://noesyssoftware.com) Infoveave® is a product of Noesys All Rights Reserved