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Representative Solution

Manufacturing Control Center

A representative Industry 4.0 platform designed to centralise production, quality, maintenance and operational intelligence into a single enterprise environment.

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Estimated timeline
Typically 12–18 weeks for a first production module
Platforms
Web · Mobile · Cloud
Tech stack
Next.js · Laravel · PostgreSQL · MQTT
Executive Summary

The business scenario

A manufacturing company running several production lines typically ends up with production tracked in one system, maintenance logged in another, inventory managed in a spreadsheet, and quality inspections recorded on paper. Each line has visibility into its own state, but nobody has visibility into the plant as a whole — machine downtime is discovered after it happens, maintenance is scheduled reactively, and a quality issue on one line doesn't surface as a pattern until it's already repeated on another.

This Representative Solution demonstrates one possible architecture for solving that class of problem — a cloud-native platform that unifies production, maintenance, inventory, quality, and scheduling behind a single operational environment, with machine data flowing in through an IoT gateway rather than being read off a gauge by hand. It is not a real client deployment. It is a reference implementation showing the engineering approach we would bring to an industrial project like this.

Business Challenge

The problems this platform responds to

The operational reality behind most enterprise software investments — not a single failure, but friction compounding across systems and teams.

Disconnected Production Systems

Each production line runs its own tracking, with no shared view of the plant across lines or shifts.

Manual Quality Control

Inspections recorded on paper or in spreadsheets mean defect patterns surface too late to act on.

Machine Downtime

Breakdowns are discovered when a machine stops, not anticipated from the data leading up to it.

Inventory Visibility

Raw material and component stock levels are tracked separately from the production lines that consume them.

Maintenance Planning

Maintenance is scheduled reactively or on a fixed calendar, rarely based on actual machine condition.

Operational Reporting

Plant-wide reporting means manually compiling numbers from every line and system at the end of the week.
Solution Overview

How the platform addresses it

The platform centralizes plant operations behind a single environment — real-time production and machine monitoring, maintenance planning grounded in actual equipment condition, and quality control connected to the same data model as everything else, with separate views for operators on the floor and management overseeing the plant.

Production Dashboard

Real-time status across every line, in one place, instead of walking the floor to find out.

Machine Monitoring

Live machine data flowing in continuously, not read manually off a gauge on a fixed schedule.

Maintenance Planning

Maintenance scheduled from actual equipment condition and usage data, not a fixed calendar.

Quality Control

Inspection results recorded directly into the same system that tracks production, not a separate paper trail.

Inventory

Raw material and component stock tracked against the production lines that actually consume them.

Analytics

Plant-wide metrics computed from the same underlying data as production and maintenance, not a separate spreadsheet.

Operator Portal

A floor-level view built for the pace of a production line, not a desk-bound admin screen.

Management Dashboard

Plant-wide visibility for leadership without needing to ask every line supervisor individually.
Platform Features

What's included

The feature set that makes the solution overview concrete — each one a real, scoped piece of the platform, not a roadmap aspiration.

Production Monitoring

Real-time throughput and status across every line, updated continuously rather than at shift-end.

Maintenance

Maintenance requests, schedules, and history tracked against each piece of equipment.

Quality Control

Inspection results and defect tracking recorded directly against the production run they belong to.

Inventory

Stock levels tracked in real time against the production lines that consume them.

Operator App

A mobile-friendly interface built for the floor, not a desktop screen shrunk down.

Machine Status

Live machine condition and uptime, sourced from the IoT gateway rather than a manual check.

Production Scheduling

Line schedules planned against real capacity and maintenance windows, not a static spreadsheet.

Reports

Standard and ad hoc plant reports generated from live data, not compiled by hand.

Notifications

The right person alerted automatically when a line, machine, or inspection needs attention.

Analytics

Trends across lines and shifts visible over time, not reconstructed after the fact.

Role Permissions

Access to production data and controls scoped correctly by role, enforced consistently across the platform.

Administration

Configuration, user management, and plant settings handled by administrators without engineering involvement.
System Architecture

How the system is structured

A layered architecture connecting the shop floor to the applications operators and management actually use — machine data flows up through a dedicated IoT gateway rather than being mixed directly into the application layer.

  1. 01

    Production Dashboard

    The web and mobile interfaces operators, supervisors, and management interact with directly.

    Next.jsReact
  2. 02

    API Layer

    A single entry point handling authentication, rate limiting, and request routing to the services behind it.

    AuthRate limitingRouting
  3. 03

    Business Services

    The core business logic — production tracking, maintenance, quality, scheduling — as independently deployable services.

    Node.jsLaravel
  4. 04

    IoT Gateway

    A dedicated layer ingesting machine and sensor data from the plant floor, decoupled from the application services.

    MQTTSensorsEdge devices
  5. 05

    Database

    The system of record for production, maintenance, and quality data, structured for the query patterns the platform runs.

    PostgreSQLRedis
  6. 06

    Analytics

    A metrics pipeline feeding plant-wide reporting and dashboards from the same underlying event data.

    Metrics pipelineReporting
  7. 07

    Monitoring

    Logging, error tracking, and health checks across every layer, so issues surface before they affect production.

    LoggingAlertsHealth checks
Technology Stack

Built on a modern, production-grade stack

Every technology here is a deliberate choice, not a default.

React

Component-based UI library powering the production dashboard and operator interfaces.

Next.js

React framework for server rendering, routing, and the performance the platform's web client needs.

Laravel

PHP framework for core business logic and the administrative backend.

Node.js

JavaScript runtime for real-time APIs and services shared across the platform.

PostgreSQL

Primary relational database for structured production, maintenance, and quality data.

Redis

Caching and real-time data layer for live machine status and frequently accessed data.

Docker

Containerizes every service so environments stay identical from development to production.

AWS

Cloud infrastructure for hosting, storage, and scaling the platform's services.

MQTT

Lightweight messaging protocol connecting the IoT gateway to machine and sensor data on the plant floor.

REST APIs

The default integration standard connecting the platform to existing plant and business systems.

GraphQL

Used where the dashboard needs to query exactly the data it needs from a complex, connected data model.
Engineering Decisions

How we approached the build

  1. Reliability First

    A production platform can't go down during a shift. The architecture is built around graceful degradation, not just uptime targets.

  2. Scalable Architecture

    Adding a new line or plant means adding capacity, not re-architecting how the platform ingests and processes data.

  3. Industrial Integrations

    The IoT gateway is built to speak the protocols real industrial equipment actually uses, not a simplified demo version.

  4. Long-term Maintainability

    Clear service boundaries mean a new engineer can understand and extend one module without needing to understand the entire plant floor integration first.

Business Outcomes

What this architecture is designed to achieve

This kind of platform is designed to change how a plant operates day to day — not to hit a specific number, but to remove the blind spots that make production, maintenance, and quality reactive instead of planned.

Improved production visibility, with real-time status across every line instead of walking the floor to find out.

Reduced operational complexity, as production, maintenance, inventory, and quality run through one platform instead of five disconnected tools.

Better maintenance planning, grounded in actual equipment condition rather than a fixed calendar or a breakdown.

Centralised industrial information, replacing paper inspection logs and per-line spreadsheets with one system.

Scalable manufacturing platform, since the modular architecture lets new lines and plants be added without a rebuild.

FAQ

Frequently asked questions

Let's build your next manufacturing platform.

Whether you're connecting the plant floor, centralising quality and maintenance, or modernising legacy production systems, we'll help you architect it right.

No sales pressure. Just a direct technical conversation.

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