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Prognostics and Health Management to Improve Resilient Manufacturing
Michael P Brundage1, Brian A Weiss1
1National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg MD, 20899, USA.
Smart and Sustainable Manufacturing Systems
|May 22, 2026
Summary
Manufacturing resilience is key to competitiveness amidst disruptions like the COVID-19 pandemic. Prognostics and Health Management (PHM) technologies offer solutions for operational challenges and future events.
Area of Science:
- Manufacturing Operations
- Industrial Engineering
- Risk Management
Background:
- The COVID-19 pandemic created unprecedented challenges for manufacturers, including reduced operations and supply chain disruptions.
- Manufacturers faced difficulties in adapting to new working conditions, reassigning personnel, and reconfiguring production lines for new products.
- Maintaining competitiveness requires enhanced operational resilience against unforeseen events.
Purpose of the Study:
- To highlight the critical need for manufacturing resilience in the face of global disruptions.
- To identify key challenges faced by manufacturers during the COVID-19 pandemic.
- To introduce Prognostics and Health Management (PHM) as a solution for mitigating operational risks.
Main Methods:
- Review of manufacturing operational challenges during the COVID-19 pandemic.
- Analysis of the role of monitoring, diagnostic, and prognostic technologies.
- Conceptual framework for integrating Prognostics and Health Management (PHM) systems.
Main Results:
- The pandemic exposed vulnerabilities in traditional manufacturing operations.
- Adaptability in workforce and production processes is crucial for resilience.
- Prognostics and Health Management (PHM) offers a technological pathway to address these vulnerabilities.
Conclusions:
- Implementing advanced Prognostics and Health Management (PHM) is essential for manufacturers to build resilience.
- PHM technologies can help mitigate the impact of current and future operational disruptions.
- Enhanced monitoring and diagnostics are vital for sustained manufacturing competitiveness.
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