17969981. PROACTIVE PREPARATION OF REPAIR SERVICE SITE simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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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 17969981 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.
  • Services performed on physical assets arriving at service centers are sequenced based on the workflows.
  • Service zones are prepared 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 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 services provided to different physical assets.

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      1. Potential Applications

This technology could be applied in industries such as manufacturing, maintenance, and repair services where efficient utilization of service zones and automation of workflows are crucial.

      1. Problems Solved

1. Optimization of service center operations to reduce waiting times and maximize the number of physical assets serviced. 2. Efficient arrangement of service zones based on the types of services requested and similarities between digital twins of physical assets.

      1. Benefits

1. Increased efficiency in servicing physical assets. 2. Reduction in downtime for physical assets awaiting service. 3. Minimization of rearrangement of service zones, leading to cost savings.

      1. Potential Commercial Applications

"Optimizing Service Zone Configurations for Physical Asset Servicing in Manufacturing and Maintenance Industries"

      1. Possible Prior Art

One possible prior art could be the use of digital twin technology in predictive maintenance and asset management systems to optimize service workflows and resource allocation.

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

The system may need to have built-in flexibility to adapt to unexpected delays or changes in the workflow, possibly through real-time monitoring and adjustments.

      1. What cybersecurity measures are in place to protect the digital twin models and service center operations?

It is essential to address cybersecurity concerns to prevent unauthorized access to sensitive data and ensure the integrity of the service center operations. Measures such as encryption, access controls, and regular security audits may be implemented to safeguard 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.