International business machines corporation (20240135334). PROACTIVE PREPARATION OF REPAIR SERVICE SITE simplified abstract

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PROACTIVE PREPARATION OF REPAIR SERVICE SITE

Organization Name

international business machines corporation

Inventor(s)

Sudheesh S. Kairali of Kozhikode (IN)

Sarbajit K. Rakshit of Kolkata (IN)

PROACTIVE PREPARATION OF REPAIR SERVICE SITE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135334 titled 'PROACTIVE PREPARATION OF REPAIR SERVICE SITE

Simplified Explanation

The patent application describes a system for predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zones and optimizing time for servicing a plurality of physical assets.

  • Digital twin models of physical assets are classified and arranged into workflows for the service zones.
  • Sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, estimated time of arrival, and similarities between classifications of different digital twins of physical assets.
  • Robotic systems arrange service zones based on sequences of the workflow, arrival times of physical assets, and overlap between parts, tools, machines, etc., within various service zones to minimize waiting time between services, maximize the number of physical assets repaired within a period of time, and reduce rearrangement of service zones between services provided to different physical assets.

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      1. Potential Applications

This technology can be applied in industries such as manufacturing, maintenance, and repair services where efficient utilization of service zones and optimization of servicing time are crucial.

      1. Problems Solved

1. Maximizing the reuse of service zones and optimizing time for servicing multiple physical assets. 2. Minimizing waiting time between services and reducing the rearrangement of service zones.

      1. Benefits

1. Increased efficiency in servicing physical assets. 2. Cost savings through optimized resource utilization. 3. Improved customer satisfaction with faster service turnaround times.

      1. Potential Commercial Applications
        1. Optimizing Service Zone Configurations for Physical Asset Servicing

This technology can be utilized by service centers, manufacturing facilities, and maintenance companies to streamline their operations and improve overall efficiency.

      1. Possible Prior Art

There may be existing systems or methods for optimizing service workflows or automating service center operations, but the specific predictive automation of configurations of modular service zones based on digital twin models of physical assets may be a novel approach.

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        1. Unanswered Questions
      1. How does the system handle unexpected delays or changes in the workflow?

The patent application does not explicitly mention how the system adapts to unexpected delays or changes in the workflow. It would be important to understand the system's flexibility in such scenarios.

      1. What data security measures are in place to protect the digital twin models of physical assets?

The patent application does not detail the data security measures implemented to safeguard the digital twin models of physical assets. It is crucial to ensure the protection of sensitive information in the system.


Original Abstract Submitted

systems, methods and/or computer program products predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zone(s) and optimizing time for servicing a plurality of physical assets. digital twin models of physical assets are classified, and arranged into workflows for the service zones, sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, the estimated time of arrival and similarities between classifications of different digital twins of physical assets. based on sequences of the workflow, arrival times of physical assets and overlap between parts, tools, machines, etc., within various service zones, service center coordinates robotic systems to arrange service zones in a manner that minimizes waiting time between services, maximizes the number of physical assets repaired within a period of time and reduces rearrangement of service zones between the services provided to different physical assets.