17931546. AUTOMATIC ADAPTION OF BUSINESS PROCESS ONTOLOGY USING DIGITAL TWINS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
AUTOMATIC ADAPTION OF BUSINESS PROCESS ONTOLOGY USING DIGITAL TWINS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Atul Mene of Morrisville NC (US)
Tushar Agrawal of West Fargo ND (US)
Sarbajit K. Rakshit of Kolkata (IN)
Jeremy R. Fox of Georgetown TX (US)
AUTOMATIC ADAPTION OF BUSINESS PROCESS ONTOLOGY USING DIGITAL TWINS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17931546 titled 'AUTOMATIC ADAPTION OF BUSINESS PROCESS ONTOLOGY USING DIGITAL TWINS
Simplified Explanation
The invention provides a method, computer system, and computer program product for ontology adaptation in industrial settings.
- Constructing a process ontology for an industrial floor
- Generating a digital twin of the industrial floor
- Performing a simulation of the digital twin using the process ontology
- Generating new process ontologies based on identified inefficiencies
- Providing recommendations to a user
Potential Applications
This technology could be applied in various industries such as manufacturing, logistics, and supply chain management to optimize processes and improve efficiency.
Problems Solved
- Identifying inefficiencies in industrial processes - Improving process optimization and workflow management - Enhancing decision-making based on simulation results
Benefits
- Increased efficiency in industrial operations - Cost savings through process optimization - Enhanced productivity and performance in industrial settings
Original Abstract Submitted
A method, computer system, and a computer program product for ontology adaptation is provided. The present invention may include constructing a process ontology for an industrial floor. The present invention may include generating a digital twin of the industrial floor. The present invention may include performing a simulation of the digital twin using the process ontology. The present invention may include generating one or more new process ontologies based on inefficiencies identified during the simulation. The present invention may include providing one or more recommendations to a user.
