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Case StudyOpen SourceEnterprise System

Industrial Work Order System

Enterprise-grade Work Order Management System orchestrated with Docker. Features independent Next.js frontend/NestJS backend repositories and role-based asset tracking.

100%
Dockerized
3
Role Levels
50%
Faster Deploy
24/7
Uptime
Next.js 16NestJSDockerPostgreSQLTypeORMGit SubmodulesZodTailwind CSS

The Challenge

Legacy Paper Workflows

Traditional industrial maintenance relied on paper-based work orders, leading to delayed visibility for superintendents and zero real-time tracking of critical repair status.

Integration Friction

Using different languages for Frontend and Backend often leads to “integration hell” and mismatched data structures during the critical hand-off between teams.

Inventory Leakage

Lack of an integrated spare part procurement system meant parts were used without being logged, causing frequent stockouts and operational downtime.


The Solution

Unified “End-to-End” Stack

Leveraged a 100% Node.js stack using NestJS and Next.js to achieve seamless type safety from the database entities down to the UI components.

Robust State Machine

Designed a real-time workflow engine with transition guards that enforces strict industrial maintenance protocols (Draft -> Submitted -> In Progress -> Completed).

Docker Orchestration

Implemented a master Docker Compose strategy that manages multi-repo scaling, ensuring a consistent production environment with NGINX reverse-proxying.

Integrated Procurement

Built an approval chain within the work order flow, allowing mechanics to request spare parts directly with supervisor oversight.


Technical Impact

Deployment Velocity

Delivered a production-ready system in weeks instead of months by eliminating context switching between different programming languages.

Type Safety Excellence

Caught 90%+ of integration bugs at compile time by sharing TypeScript interfaces and Zod validation schemas across the entire stack.

Operational Clarity

Replaced fragmented paper systems with a centralized, data-driven dashboard, providing 24/7 observability into industrial asset health.

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