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Updated: Aug 28, 2025

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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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Production Loss Analysis in Mobile Multi-skilled Robot Operated Flexible Serial Production Systems
Kshitij Bhatta1, Chen Li1, Qing Chang1
1Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Summary
Flexible manufacturing systems (FMS) can adapt to rapid demand changes using data-enabled modeling with mobile robots. This study introduces a novel method to evaluate FMS performance, minimizing production loss.
Area of Science:
- Industrial Engineering
- Operations Research
- Robotics
Background:
- Modern supply chains face unpredictable demand fluctuations, as seen during the COVID-19 pandemic.
- Flexible Manufacturing Systems (FMS) are crucial for adapting production volumes to market dynamics.
- Effective modeling is needed to enhance FMS responsiveness and minimize disruptions.
Purpose of the Study:
- To propose a novel data-enabled method for modeling Flexible Manufacturing Systems (FMS).
- To evaluate the dynamic performance of an FMS utilizing mobile multi-skilled robots.
- To introduce metrics for assessing and attributing permanent production loss in FMS.
Main Methods:
- Development of a data-enabled model for FMS.
- Simulation and analysis of FMS performance using mobile multi-skilled robots.
- Derivation of mathematical expressions for permanent production loss evaluation and attribution.
Main Results:
- The proposed data-enabled model effectively captures the dynamic behavior of FMS.
- The method allows for accurate evaluation and attribution of permanent production loss.
- Case studies demonstrate the practical applicability and validation of the model.
Conclusions:
- Data-enabled modeling with mobile robots enhances FMS adaptability to demand volatility.
- The developed performance metrics provide valuable insights for optimizing FMS operations.
- This approach offers a robust framework for improving manufacturing system resilience.
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