PE Dashboard: Production Engineering & Maintenance Intelligence Platform
Full Stack Production Engineering Developer
2025 - 2026
Ongoing
projectDetail.industrialAutomation
projectDetail.theChallenge
Factory maintenance operations were fragmented across spreadsheets, isolated forms, and manual follow-ups. Machine history, repair requests, preventive maintenance schedules, and spare-part usage were not connected in one workflow, making it difficult to prioritize risk, trace recurring failures, or give management a real-time view of plant reliability.
projectDetail.theSolution
I built PE Dashboard, a full-stack maintenance intelligence platform that unifies machine asset management, repair request workflows, preventive maintenance, spare-parts inventory, and AI-assisted analytics in a single Next.js application. The system combines role-based access control, QR/PDF operational flows, Telegram notifications, and structured risk insights so technicians, leaders, and requesters can work from one source of truth.
projectDetail.transformationEvidence
projectDetail.systemDemo
projectDetail.systemArchitecture
Frontend
Backend
Operations
Intelligence
projectDetail.lessonsLearned
projectDetail.businessImpact
projects.detailHeading
PE Dashboard is a factory-focused production engineering platform designed to connect maintenance execution, machine history, and spare-parts control into one operational system. Project Scope: - Built a centralized web application for machine assets, maintenance requests, preventive maintenance, work orders, and spare inventory. - Connected operational workflows with role-based permissions for requesters, technicians, leaders, and managers. - Added analytics and AI-assisted summaries to help teams identify high-risk machines, overdue PM tasks, and inventory pressure earlier. Key Features: - Machine Management: Tracks machine master data, criticality, warranty, downtime history, and repair linkage. - Maintenance Workflow: Handles request intake, approval flow, comments, attachments, and status progression. - Preventive Maintenance: Supports PM scheduling, task execution, and overdue visibility. - Spare Parts Control: Manages part master data, stock transactions, reservations, suppliers, and reorder logic. - Digital Operations: Includes QR-based tracking, PDF document generation, import/export utilities, and audit-friendly records. - AI & Alerts: Generates dashboard insights, predictive summaries, and notification flows for faster maintenance response. Technical Highlights: 1. Frontend: Built with Next.js App Router, TypeScript, Tailwind CSS, and reusable UI components. 2. Backend: Uses Prisma and PostgreSQL for strongly structured operational data and workflow relationships. 3. Intelligence Layer: Implements risk scoring, structured AI summaries, and cached analytics endpoints. 4. Notification Layer: Integrates Telegram-based alerts for maintenance and operational events. Business Value: - Replaced fragmented maintenance tracking with a single source of truth. - Improved traceability between machine failures, repair execution, and spare-part usage. - Gave production engineering teams faster visibility into risk, backlog, and reliability priorities.
projects.technologies
- Next.js
- TypeScript
- Prisma ORM
- PostgreSQL
- Tailwind CSS
- AI Insights
- Telegram Notifications
projects.systemGallery
projectDetail.nextProject
AI Production Planning System
Next.js • React • TypeScript