IIOT.GE Healthcare Manufacturing

Confidential business case, MES-based reports, high-level architecture, Tableau self-service usage, and planned capabilities for advanced statistical analytics in the healthcare manufacturing industry.

• Healthcare
• Manufacturing
• IIOT
• MES
• Tableau

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Uploaded on Feb 19, 2025 | 0 Views

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1. IIOT GE Healthcare Manufacturing Machine Data Processing Confidential. Not to be copied, distributed, or reproduced without prior approval. Valter Pinho Manufacturing Analytics Technical Product Manager

2. Business Case Confidential. Not to be copied, distributed, or reproduced without prior approval.

3. MES Based Reports Yield & DPU Reports Route & Operation Level Defect Reports Trends, Pareto, Heat Map, other Data Collection Plan (DCP) Reports Route and Operation Level DPMO Trend DCP Pass/Failure Trend Greatest Change DCP Line Raw Data Extract DCP Statistical Analysis Z-score I-MR & X bar-S Control Charts Before & After 2 sample t-test Part Consumption Reports Part Replacement rates at Route, Parent and Child Level Serial Number Genealogy Tree Lean KPIs: Cycle Time Estimate Waiting Time Estimate Operation Flow Others: WIP Lead Time PA Time Since Operation Confidential. Not to be copied, distributed, or reproduced without prior approval.

4. High Level Architecture MES Machine Maintenance Teradata Test Data Licensing ERP Web Data Connector Labor Machine Data Planning Presentation Title February 19, 2025 4 Confidential. Not to be copied, distributed, or reproduced without prior approval.

5. Tableau (Self-Service) Usage 3 - 5 days Enable self-service 5000+ Self-service Projects 80+ Data Queries per day Self-service Publishers Workbooks Dashboards Data Sources 1 day Leverage standard content Tableau Users 1,200+ 10,000+ 190+ 3,500+ 150+ Confidential. Not to be copied, distributed, or reproduced without prior approval.

6. 2019 Planned Capabilities Advanced Statistical Analytics Extract and Organize MES data for Statistical analysis Use CTQ Specs Genealogy to use Children Part Attributes Use MES & Test data to determine Root cause of a problem One-Way ANOVA Simple Regression Logistic Regression Chi-squared Dimensionality Reduction Advanced Statistics & Machine Learning Value Stream Analytics Value Stream KPI DPU Lead Time (Total & Manufacturing) WIP Critical Path Process Mining to Identify: Bottlenecks Critical Routes & Operations Critical Personnel Machine Data Visualize Parameter Performance Compare Cycles from same recipe Cycle Phases Descriptive Statistics (ex. Slope during ramp up, Max, Min, etc) Identify abnormalities & alert operator Confidential. Not to be copied, distributed, or reproduced without prior approval.

7. High Level Architecture Machine Data Presentation Title February 19, 2025 7 Confidential. Not to be copied, distributed, or reproduced without prior approval.

8. Visualize Live Data Status High level Shop Floor Health Status Breakdown per Process / Machine Type Parameter Trending Machine Utilization Presentation Title February 19, 2025 8 Confidential. Not to be copied, distributed, or reproduced without prior approval.

9. Cycle Identification Presentation Title February 19, 2025 9 Confidential. Not to be copied, distributed, or reproduced without prior approval.

10. Cycle Phase Breakdown Cooldown Ramp-up Processing Presentation Title February 19, 2025 10 Confidential. Not to be copied, distributed, or reproduced without prior approval.

11. Machine and Process Data Correlation Presentation Title February 19, 2025 11 Confidential. Not to be copied, distributed, or reproduced without prior approval.

12. Alerting For Anomalies Presentation Title February 19, 2025 12 Confidential. Not to be copied, distributed, or reproduced without prior approval.

13. Summary Current State: Planned Capabilities: Max, Min, etc) Automatically identify abnormalities & alert operator Correlate Machine to Process Data Live data Visualization High Level Machine Status Machine Occupancy Parameter Trending Threshold based Alerting Visualize Parameter Performance Historically Compare Cycles from same recipe Cycle Phases Descriptive Statistics (ex. Slope during ramp up, Presentation Title February 19, 2025 13 Confidential. Not to be copied, distributed, or reproduced without prior approval.