Create README.md

plant_id,plant_location,production_date,total_output_units,planned_output_units,oee_percent,downtime_minutes,energy_consumption_mwh,carbon_emission_ton
PLT-01,Bekasi,2026-02-01,10500,11000,92.4,120,45.6,18.2
PLT-02,Karawang,2026-02-01,9800,10000,95.1,80,42.3,16.9
PLT-03,Surabaya,2026-02-01,11200,11500,93.8,95,48.7,19.5
PLT-04,Penang,2026-02-01,8900,9500,90.7,150,39.4,15.8
PLT-05,Houston,2026-02-01,12000,12500,94.5,85,50.1,20.3

README.md

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+# Enterprise Industrial & Logistics AI Training Dataset
+
+## Overview
+
+This repository contains a structured collection of enterprise-grade datasets designed for Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics applications within Industrial Operations and Global Logistics environments.
+
+The datasets simulate real-world enterprise scenarios across manufacturing, supply chain, procurement, warehouse management, fleet operations, predictive maintenance, and financial performance monitoring.
+
+These datasets are structured to support:
+
+- Predictive Analytics
+- Demand Forecasting
+- Risk Modeling
+- Operational Optimization
+- AI Model Training & Validation
+- Industrial Automation Research
+
+All data is synthetically generated for training and simulation purposes.
+
+---
+
+## Dataset Categories
+
+### 1. Supplier & Procurement Intelligence
+- Enterprise Supplier Performance
+- Procurement Records
+- Contract & Compliance Monitoring
+
+### 2. Manufacturing & Operations
+- Production KPI Reports
+- OEE (Overall Equipment Effectiveness)
+- Energy Consumption Monitoring
+- Carbon Emissions Tracking
+
+### 3. Predictive Maintenance & Asset Management
+- IoT Sensor Monitoring
+- Anomaly Detection
+- Failure Risk Prediction
+- Maintenance Scheduling
+
+### 4. Warehouse & Distribution Management
+- Global Inventory Snapshots
+- Robotics Activity Logs
+- Distribution Network Performance
+- Warehouse Utilization Metrics
+
+### 5. Fleet & Logistics Intelligence
+- Fleet Telematics Data
+- Route Optimization
+- Shipment Tracking
+- Fulfillment Performance
+
+### 6. Risk & Compliance Management
+- Supply Chain Risk Matrix
+- Operational Risk Scoring
+- Mitigation Strategy Tracking
+
+### 7. Financial & Business Intelligence
+- Revenue & Operational Cost Summary
+- EBITDA & Profitability Analysis
+- CAPEX Monitoring
+- Enterprise Performance KPIs
+
+---
+
+## Data Structure
+
+Each dataset is provided in CSV format and follows enterprise data structuring standards:
+
+- Unique identifiers (ID-based tracking)
+- Timestamped operational records
+- KPI-based performance metrics
+- Region-based segmentation (APAC, EMEA, NA, etc.)
+- Structured numeric fields for AI modeling
+- Operational and financial indicators
+
+---
+
+## Intended AI Use Cases
+
+These datasets are suitable for:
+
+- Supervised Learning (Classification & Regression)
+- Time-Series Forecasting
+- Anomaly Detection
+- Predictive Maintenance Modeling
+- Supply Chain Optimization Models
+- Risk Scoring Systems
+- Demand Forecasting AI Models
+- Operational Efficiency Benchmarking
+
+---
+
+## Data Governance & Compliance
+
+- Data is synthetically generated
+- No real company information is used
+- Designed for training, experimentation, and research
+- Structured to reflect enterprise-scale industrial environments
+
+---
+
+## Technical Specifications
+
+- Format: CSV (Comma-Separated Values)
+- Encoding: UTF-8
+- Compatible with:
+  - Python (Pandas, Scikit-Learn, TensorFlow, PyTorch)
+  - R
+  - Power BI
+  - Tableau
+  - SQL Databases
+  - Apache Spark
+  - Cloud ML Platforms
+
+---
+
+## Enterprise-Level Simulation Scope
+
+This dataset simulates operations of:
+
+- Multinational industrial corporations
+- Global supply chain networks
+- Smart factories (Industry 4.0)
+- Automated warehouse systems
+- AI-driven logistics enterprises
+
+---
+
+## License
+
+This dataset is provided for educational, research, and AI development purposes only.
+
+---
+
+## Author
+
+Enterprise AI Industrial Simulation Project  
+Year: 2026  
+Industry Focus: Industrial Technology, Supply Chain, Logistics & Smart Manufacturing