Scheduling project activities using twin computing simulation

US12282874B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Shailendra Moyal · Pune, IN
• Nitika Sharma · Zirakpur, IN
• Sarbajit K. Rakshit · Sherghati, IN
• Akash U. Dhoot · Pune, IN

Key dates

• Filing date: Nov 14, 2022
• Grant date: Apr 22, 2025
• Expiry date: Feb 28, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/067
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A critical path based proactive optimization that includes collecting data on the tasks of contextual situation for performing a process and training a twin computing simulation model using the collected data for each task in the process. A contextual situation simulation is run using the simulation models for each task in the process to determine a critical path that causes delay in the process. An optimized task is determined from the tasks of the contextual situation using machine learning employing the collected data, wherein the optimized task mitigates delay in the process from the critical path.