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February 19, 2026 min readmanufacturing migrations extracting factory

Manufacturing ERP Migrations: Extracting Factory Floor Logic for Cloud Integration

R
Replay Team
Developer Advocates

Manufacturing ERP Migrations: Extracting Factory Floor Logic for Cloud Integration

The average Tier-1 manufacturing facility runs on logic written before the engineers operating it were born. These legacy ERP systems—often monolithic AS/400, SAP R/3, or custom VB6 builds—are the "black boxes" of the industrial world. They contain decades of undocumented edge cases, tribal knowledge, and complex shop-floor workflows that are impossible to extract through traditional documentation reviews because the documentation simply doesn't exist.

When enterprises attempt manufacturing migrations extracting factory floor logic, they usually hit a wall: the "Documentation Gap." According to Replay’s analysis, 67% of legacy manufacturing systems lack any form of up-to-date technical documentation. This leads to a terrifying reality where 70% of legacy rewrites fail or significantly exceed their timelines.

To move from a rigid on-premise monolith to a flexible cloud-native architecture, you cannot simply "lift and shift." You must decode the visual and functional DNA of the existing system. This is where Visual Reverse Engineering changes the math of modernization.

TL;DR:

  • The Problem: Manufacturing ERPs are undocumented "black boxes" with high technical debt ($3.6 trillion globally).
  • The Solution: Replay uses Visual Reverse Engineering to convert recorded user workflows into documented React components and Design Systems.
  • Efficiency: Reduce migration time from 18–24 months to weeks, saving 70% on average.
  • Comparison: Manual screen conversion takes 40 hours; Replay reduces this to 4 hours.
  • Compliance: Built for SOC2 and HIPAA-ready environments, essential for aerospace, medical, and defense manufacturing.

Why Most Manufacturing Migrations Extracting Factory Logic Fail#

The failure of large-scale ERP migrations isn't usually a failure of the new technology; it’s a failure to understand the old technology. In a factory environment, a single screen might handle complex Bill of Materials (BOM) calculations, real-time sensor data integration, and inventory reconciliation simultaneously.

The Documentation Gap#

Industry experts recommend that before any migration begins, a full audit of existing workflows is performed. However, when the original developers have retired and the source code is a "spaghetti" mess of undocumented patches, manual discovery becomes a bottleneck.

Visual Reverse Engineering is the process of recording real user interactions with a legacy interface and using AI-driven analysis to reconstruct the underlying business logic, UI components, and data flows into modern code.

The "40-Hour" Screen Problem#

In a typical manual modernization project, a single complex ERP screen takes an average of 40 hours to analyze, document, design, and code in React. For a system with 500 screens, that’s 20,000 man-hours—roughly 10 years of work for a single developer. Most enterprises cannot afford this timeline.

When performing manufacturing migrations extracting factory logic manually, the risk of missing a critical edge case (like a specific tariff calculation or a hazardous material handling flag) is nearly 100%.

Learn more about Legacy Modernization Strategy


Visual Reverse Engineering: A New Paradigm for Manufacturing Migrations Extracting Factory Data#

Instead of staring at COBOL or VB6 code, Replay allows architects to record the actual workflows of shop-floor operators. If a worker processes a "Work Order," Replay captures every state change, validation rule, and UI element.

How Replay Accelerates the Timeline#

By using the Replay platform, the 40-hour manual process is compressed into 4 hours. The platform's AI Automation Suite identifies patterns across screens to build a unified Design System and Component Library automatically.

FeatureManual MigrationReplay Visual Reverse Engineering
Discovery Time2-4 Weeks per Module2-3 Days via Recordings
DocumentationHand-written (often incomplete)Auto-generated Blueprints & Flows
Code GenerationManual React/TS AuthoringAutomated Component Extraction
Time per Screen40 Hours4 Hours
Average Timeline18-24 Months3-6 Months
Risk of Logic LossHighLow (Visual Verification)

According to Replay’s analysis, enterprises using visual discovery tools see a 70% average time savings, turning multi-year nightmares into manageable quarterly projects.


Extracting Complex Logic: From "Green Screens" to React#

The primary challenge in manufacturing migrations extracting factory logic is the transition from procedural, state-heavy legacy UIs to functional, component-based React architectures.

Consider a legacy inventory management screen. It likely has hidden "F-key" shortcuts, complex validation logic for SKU entries, and direct database triggers. When Replay captures this, it doesn't just take a screenshot; it maps the functional "Flow" of the application.

Example: Legacy Logic to Modern TypeScript Component#

Below is a representation of how a legacy "Work Order" validation logic, once extracted, is transformed into a clean, documented React component using a standardized Design System.

typescript
// Extracted and Modernized via Replay Blueprints import React, { useState, useEffect } from 'react'; import { Button, Input, Alert, Card } from '@/components/factory-ui'; interface WorkOrderProps { orderId: string; onValidate: (isValid: boolean) => void; } /** * WorkOrderValidator * Extracted from Legacy Module: INV_MGR_V4 * Logic: Validates hazardous material flags against warehouse zone constraints. */ export const WorkOrderValidator: React.FC<WorkOrderProps> = ({ orderId, onValidate }) => { const [status, setStatus] = useState<'pending' | 'valid' | 'error'>('pending'); const [hazmatCode, setHazmatCode] = useState<string>(''); const handleValidation = async (code: string) => { // Logic extracted from legacy screen 'F7' trigger const isRestrictedZone = code.startsWith('HZ-9'); if (isRestrictedZone) { setStatus('error'); onValidate(false); } else { setStatus('valid'); onValidate(true); } }; return ( <Card title={`Validate Order: ${orderId}`}> <Input label="Hazmat Handling Code" value={hazmatCode} onChange={(e) => setHazmatCode(e.target.value)} /> <Button onClick={() => handleValidation(hazmatCode)}> Verify Safety Protocol </Button> {status === 'error' && ( <Alert type="danger">Error: Restricted Zone for Code HZ-9</Alert> )} </Card> ); };

This code isn't just a rewrite; it's a reflection of the actual "as-is" state of the factory floor, ensuring that safety protocols embedded in the old system are preserved in the cloud-native version.


The Role of "Flows" and "Blueprints" in Manufacturing#

In the Replay ecosystem, two features are critical for manufacturing migrations extracting factory logic:

  1. Flows (Architecture): This visualizes the sequence of screens and user actions. In manufacturing, a "Flow" might be the path from "Raw Material Receipt" to "Quality Inspection" to "Inventory Stocking." Seeing this visually allows architects to identify redundant steps that can be optimized during the cloud transition.
  2. Blueprints (Editor): This is where the visual recordings are converted into structured data. Blueprints allow developers to refine the AI-generated code, ensuring it meets the specific architectural standards of the new cloud environment.

Explore Replay's Flows and Blueprints


Overcoming the $3.6 Trillion Technical Debt#

Technical debt in manufacturing is more than just "old code." It is a physical risk. A failure in an ERP migration can stop a production line, costing millions per hour. This is why the global technical debt has ballooned to $3.6 trillion—companies are too afraid to move.

However, the "wait and see" approach is no longer viable. Legacy systems are becoming security liabilities. Most older ERPs lack the granular access controls required for modern cybersecurity. By manufacturing migrations extracting factory logic through a platform like Replay, organizations can implement modern authentication (OIDC/SAML) and SOC2-compliant data handling while keeping their core business logic intact.

Security in Regulated Environments#

For industries like Healthcare (Medical Device Manufacturing) or Aerospace, compliance is non-negotiable. Replay is built for these environments, offering:

  • SOC2 & HIPAA-Ready infrastructure.
  • On-Premise Deployment: For factories that cannot send data to the public cloud due to regulatory or "air-gap" requirements.
  • Audit Trails: Every component generated can be traced back to the original recording, providing a clear path for compliance auditors.

Managing State and Real-Time Data#

One of the most complex aspects of manufacturing migrations extracting factory logic is handling real-time data streams. Legacy systems often used polling or direct socket connections that don't translate well to modern REST or GraphQL APIs without careful planning.

According to Replay's analysis, the most successful migrations use a "Strangler Fig" pattern—gradually replacing legacy modules with modern React components that communicate with the old database through an abstraction layer.

Example: Real-Time Machine Telemetry Component#

This component demonstrates how extracted logic for machine monitoring is modernized to handle asynchronous data streams in a cloud-integrated environment.

typescript
// Modernized Telemetry Dashboard Component // Derived from Legacy Monitoring Tool: SHOP_FLOOR_MONITOR import React, { useEffect, useState } from 'react'; import { useWebSocket } from '@/hooks/useWebSocket'; interface MachineStats { rpm: number; temperature: number; uptime: string; } export const MachineStatusCard: React.FC<{ machineId: string }> = ({ machineId }) => { const { data, isConnected } = useWebSocket<MachineStats>(`wss://api.factory.cloud/v1/telemetry/${machineId}`); const [alert, setAlert] = useState(false); useEffect(() => { // Logic extracted from legacy 'ALARM_HANDLER' if (data && data.temperature > 120) { setAlert(true); } else { setAlert(false); } }, [data]); if (!isConnected) return <div>Connecting to Machine ${machineId}...</div>; return ( <div className={`p-4 border-l-4 ${alert ? 'border-red-500 bg-red-50' : 'border-green-500'}`}> <h3 className="text-lg font-bold">Machine: {machineId}</h3> <div className="grid grid-cols-2 gap-4"> <div>RPM: {data?.rpm}</div> <div className={alert ? 'text-red-600 font-bold' : ''}> Temp: {data?.temperature}°C </div> </div> {alert && <div className="mt-2 text-sm text-red-700">WARNING: Thermal Threshold Exceeded</div>} </div> ); };

Read about Technical Debt in Manufacturing


Step-by-Step Strategy for Manufacturing Migrations#

To successfully execute manufacturing migrations extracting factory logic, follow this four-phase architectural framework:

1. The Recording Phase#

Deploy Replay to the workstations of your most experienced "power users." Have them perform standard and non-standard workflows. This captures the "hidden" logic—the workarounds they’ve developed over 20 years to make the old system work.

2. The Library Synthesis#

Use Replay’s Library feature to identify common UI patterns. In a massive ERP, you might find 50 different "Search" screens. Replay identifies these as a single reusable React component, drastically reducing the code footprint and future maintenance costs.

3. The Blueprint Refinement#

Architects review the auto-generated Blueprints. This is where you decide what logic stays and what logic is deprecated. It’s the perfect time to clean up decades of "code rot."

4. The Cloud Integration#

Export the documented React components and integrate them into your new cloud architecture (AWS, Azure, or GCP). Because the code is already built to your Design System's standards, integration is a matter of "plug and play" rather than "search and replace."


The Business Value: Beyond Just Code#

When we talk about manufacturing migrations extracting factory logic, the conversation often centers on IT. But the business impact is where the true ROI lies.

  • Agility: A cloud-native ERP allows for rapid adjustments to supply chain disruptions.
  • Talent Acquisition: It is significantly easier to hire React developers than it is to find AS/400 or Delphi specialists.
  • Scalability: Cloud systems can handle the massive data loads from IoT-enabled factory floors that would crash a legacy monolith.

Industry experts recommend that for every $1 spent on modernization, companies see $3 in long-term operational savings through reduced maintenance and increased throughput.


Frequently Asked Questions#

How does Replay handle highly customized legacy ERPs with no source code?#

Replay doesn't need the source code. It uses Visual Reverse Engineering to observe the application's behavior from the user's perspective. By capturing the inputs, outputs, and UI changes, Replay reconstructs the functional logic and creates modern React components that replicate the original behavior without needing to parse 30-year-old COBOL.

Is the code generated by Replay "clean" or just "spaghetti" React?#

Replay is designed for Enterprise Architects. The platform uses a centralized Design System and Component Library approach. It identifies repeating patterns across your legacy recordings and maps them to clean, reusable TypeScript components. The result is a standardized codebase that follows modern best practices, not a 1:1 "screen-scrape."

Can Replay work with "Air-Gapped" or highly secure factory environments?#

Yes. Replay offers On-Premise deployment options for organizations in regulated industries like defense, aerospace, and healthcare. This ensures that sensitive factory floor data and proprietary workflows never leave your secure network while still benefiting from AI-driven modernization.

What happens to the complex database triggers in the old system?#

While Replay focuses on the UI and front-end business logic, it provides the "Flows" and "Blueprints" necessary for backend engineers to understand exactly what data is being called and when. This documentation serves as the ultimate map for migrating database triggers to modern microservices or serverless functions.

How much time can we actually save on a 1,000-screen migration?#

According to Replay's analysis, a 1,000-screen migration manually would take approximately 40,000 hours (roughly 20 man-years). With Replay, this is reduced to 4,000 hours. This 90% reduction in development time allows enterprises to complete migrations in months rather than decades.


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