A Framework to Manage Systems Based on Digital Twin

Document Type

Conference Proceeding

Publication Date

5-21-2022

Abstract

The integration of technologies that leads to the concept of a digital twin has received much attention in recent years. Varying definitions and use cases have been developed in this rapidly evolving field. However, the literature related to the topic has failed to come to a common understanding or unified definition. As such, the term can lead to confusion, particularly in the simulation-focused research community. In this research we focus on the use of a digital twin as a tool to support and enhance real-time decision-making. With this in mind, this talk will focus on our effort to integrate the digital twin concept with existing knowledge in decision-making and decision-making processes. In its most simplistic form, a digital twin senses/collects information from the physical environment, generates decision alternatives, runs virtual simulations in a one-to-one representation of reality to predict future states and assess alternatives, selects favorable actions, and finally actuates these decisions in the physical environment. We leverage existing frameworks of human decision-making to frame these aspects of a twin. This decision-making orientation focuses the requirements of a twin and leads to a proposed architecture based on Boyd's OODA loop. We discuss a number of open questions and technological requirements that are focused by this orientation. Abstract © IISE.

Comments

© 2022 IISE Annual Conference and Expo 2022. All rights reserved.

The full text of this paper may not have a digital edition as of January 2025.

Source Publication

IISE Annual Conference and Expo 2022 (ISBN 978-171385807-2)

This document is currently not available here.

Share

COinS