Deliverables:
Manufacturing Data Analysis
• Analyze production, quality, equipment, material, labour, and operational data to identify trends, performance gaps, and improvement opportunities.
• Identify patterns, anomalies, correlations, and relationships within manufacturing data.
• Perform data-driven root-cause analysis.
Manufacturing Data Modelling
• Design and develop data models that represent manufacturing processes, equipment, materials, products, operations, quality information, and production events.
• Develop logical and physical data models to support manufacturing analytics and reporting.
• Define relationships between manufacturing entities such as plants, production lines, work centres, equipment, operations, products, materials, orders, employees, and production events.
• Identify gaps and inconsistencies between source-system data structures and the information required by manufacturing operations.
• Work with business and technical stakeholders to validate data models against actual manufacturing processes.
Manufacturing Data Integration
• Extract, transform, and integrate data from multiple manufacturing and enterprise systems.
• Work with data from MES/MOM, ERP, PLM, QMS, WMS, SCADA, historians, equipment systems, and other operational data sources.
• Map data elements between source systems and analytical data models.
• Identify duplicate, missing, inconsistent, or poorly structured data.
Automotive Manufacturing
• Apply knowledge of automotive manufacturing processes to provide context to data analysis and modelling.
• Understand production constraints, takt time, cycle time, line balancing, quality requirements, traceability, and production flow.
• Validate data models and analytical results against actual shop-floor processes.
Reporting & Visualization
• Develop dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms.
• Build operational reporting based on governed and reusable data models.
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