Renato Perez
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Assembly Line Performance Dashboard

Real-time manufacturing analytics for production optimization and quality control

Interactive Tableau dashboard delivering actionable insights into assembly line efficiency, production bottlenecks, and resource utilization for a manufacturing environment.

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System Architecture

Interactive Diagram

Business Problem

Manufacturing teams struggle with fragmented visibility into production performance, leading to reactive decision-making and missed optimization opportunities. Without real-time insights into throughput, downtime causes, yield rates, and resource utilization, plant managers cannot proactively address bottlenecks or prevent quality issues. The lack of centralized analytics makes it difficult to identify root causes of inefficiencies, optimize shift scheduling, or align supply chain operations with production demands.

Interactive Dashboard

Explore the live Tableau dashboard showcasing assembly line performance metrics, production KPIs, and operational insights.

Impact & Outcomes

Operational Visibility

Provided real-time visibility into production performance across multiple assembly lines and shifts

Bottleneck Identification

Enabled rapid identification of production bottlenecks through station heatmaps and downtime analysis

Data-Driven Decisions

Empowered operations managers and engineers to make informed decisions on resource allocation and preventive maintenance

Cross-Functional Insights

Connected production data with supply chain metrics to identify material shortage impacts on line performance

Solution Architecture

Built a comprehensive Tableau dashboard that transforms raw production data into actionable insights. The dashboard provides real-time visibility into assembly line performance, enabling stakeholders to monitor KPIs, identify bottlenecks, and make data-driven decisions to optimize operations.

1

Data Integration

Consolidated production metrics, quality data, resource allocation, and supply chain information into a unified data model

2

KPI Framework

Designed key performance indicators including OEE, throughput vs target, yield percentage, and downtime analysis

3

Interactive Visualizations

Created heatmaps, trend lines, and Pareto charts to identify bottlenecks, downtime causes, and material shortages

4

Drill-Down Analytics

Enabled granular analysis from factory-wide metrics down to station-level, shift-level, and operator-level performance

Technology Stack

Tools and technologies chosen to simulate real production pipelines and deliver reliable, scalable solutions.

TableauData VisualizationManufacturing AnalyticsDashboard DesignPerformance Metrics

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Renato Perez

Building batch and real-time data pipelines that deliver reliable data for analytics and machine learning. Transforming raw events into business-ready insights.

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