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Resilience and Robustness in flexible manufactering system ? 


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Resilience and robustness are important concepts in flexible manufacturing systems. Resilience refers to the ability of a system to endure disruptive changes, such as the recent COVID pandemic, by embracing automation, digitization, and AI . Robustness, on the other hand, focuses on the ability of a system to handle resource failures and reduce production inefficiencies caused by failure blockings (FBs) and deadlocks . In the context of manufacturing systems, robustness is achieved through the design of control policies and controllers that can ensure smooth completion of tasks even in the presence of unreliable resources . By combining concepts of resilience and robustness, manufacturing systems can be designed to improve their ability to withstand disruptions and maintain efficient production processes .

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The paper does not specifically discuss resilience and robustness in flexible manufacturing systems. The paper focuses on using a combined model of design of experiment and goal programming approaches to determine optimum input levels and analyze their robustness for the performance of a flexible manufacturing cell.
The paper discusses the concepts of resilience and robustness in manufacturing systems, emphasizing the need to improve manufacturing resilience through automation, digitization, and AI.
The paper discusses the design of a robust Petri net controller for flexible manufacturing systems with unreliable resources, but it does not specifically mention resilience or robustness in the context of flexible manufacturing systems.
The paper discusses the design of a robust Petri net controller for flexible manufacturing systems with unreliable resources, but it does not specifically mention resilience or robustness in the context of flexible manufacturing systems.
The paper does not specifically mention resilience or flexible manufacturing systems. The paper is about the concept of robustness in production systems.

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