International business machines corporation (20240134661). MODELING A MANUFACTURING PROCESS USING SNAPSHOTS OF A SYSTEM simplified abstract

MODELING A MANUFACTURING PROCESS USING SNAPSHOTS OF A SYSTEM

Organization Name

international business machines corporation

Inventor(s)

Michael M. Morin of South Burlington VT (US)

Thomas Furland of Essex Junction VT (US)

Jonathan Fry of Fishkill NY (US)

MODELING A MANUFACTURING PROCESS USING SNAPSHOTS OF A SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240134661 titled 'MODELING A MANUFACTURING PROCESS USING SNAPSHOTS OF A SYSTEM

Simplified Explanation

The patent application describes a method, system, and computer program product for modeling a manufacturing process using snapshots of the system. The method involves identifying possible transition paths in a state diagram based on the snapshots, selecting a transition path that most likely corresponds to the sequence of state changes exhibited by the system, determining predicted times that the system entered each state of the selected transition path, and predicting an issue related to the manufacturing process based on these predicted times.

• Identifying possible transition paths in a state diagram based on snapshots of the system
• Selecting a transition path that most likely corresponds to the sequence of state changes exhibited by the system
• Determining predicted times that the system entered each state of the selected transition path
• Predicting an issue related to the manufacturing process based on the predicted times

Potential Applications

This technology can be applied in various industries such as manufacturing, logistics, and supply chain management to predict issues in the production process and optimize operations.

Problems Solved

1. Predicting issues in the manufacturing process before they occur, allowing for proactive problem-solving. 2. Optimizing the manufacturing process by identifying potential bottlenecks and inefficiencies.

Benefits

1. Improved efficiency and productivity in manufacturing operations. 2. Reduced downtime and maintenance costs by addressing issues before they escalate.

Potential Commercial Applications

Predictive maintenance software for manufacturing plants

Possible Prior Art

One possible prior art could be predictive maintenance systems used in the manufacturing industry to anticipate equipment failures and schedule maintenance proactively.

Unanswered Questions

How accurate are the predictions made by this technology?

The accuracy of the predictions made by this technology would depend on the quality of the data and the algorithms used in the modeling process.

What is the scalability of this technology for large manufacturing operations?

It is important to understand how well this technology can scale to handle large manufacturing operations with complex systems and numerous variables.

Original Abstract Submitted

a computer-implemented method, system and computer program product for modeling a manufacturing process. snapshots of the system are received, where each snapshot includes a time that the snapshot was taken and a state of the system at that time. possible transitions paths in a state diagram exhibited by the system are then identified based on the snapshots. a transition path out of the identified transition paths that most likely corresponds to the sequence of state changes exhibited by the system is selected based on information pertaining to a typical time taken by the system from one state to another. a predicted time that the system entered each state of the selected transition path between selected states of the snapshots is determined based on such information as well as the time at which the snapshots were taken. an issue related to the manufacturing process is predicted based on such predicted times.