Smart Manufacturing Leadership Coalition

Operational and Technology Transitions

Knowledge Repository

Operational and Technology Transitions

I. Network data and model infrastructure

1. Foundational wired and wireless sensor and data network

II. Data to Knowledge

2. Develop standards and tools to enable communication in process manufacturing
3. apply standard approaches to model the process manufacturing enterprise and its activities
4. Get the data: To enable better control, design next generation actuator/sensor networks for improved model-based state estimation and bias detection knowledge

III. Knowledge to Operating Models

5. Implement approaches to develop and validate models
6. Enable rapid modeling and evaluation of molecular based properties
7. Develop algorithms for real-time, large-scale operation
8. Develop and implement tools for alarm management, fault detection and root cause analysis

IV. Operating Models to Key Plant Assets

9. Develop knowledge and data models for data-driven equipment asset life-cycle management and decision making
10. Enable equipment assets in process operations to autonomously recognize and respond to situations
11. Develop plant-wide status data visualization
12. Develop intelligent real-time tools to manage transitions and respond to process and performance threats
13. Develop and maintain models as key corporate assets

V. Models as Key Plant Assets to Global Enterprise-Wide Application

14. Create universal metrics to evaluate and integrate global processes
15. Develop techniques and standards for integrating across the supply chain
16. Integrate enterprise- and plant-level planning for multi objective optimization

VI. People, Knowledge and Models to Key Performance Indicators

17. Standarize cross-industry best practices and tools
18. Provide comprehensive knowledge capture and knowledge management solutions
19. On-the-job training for process manufacturing
20. Enhance new employee development
21. Reassess curricula and pedagogy, and provide life-long learning