The Library
Recommendation system using reinforcement learning for what-if simulation in digital twin
Tools
Pires, Flavia, Ahmad, Bilal, Moreira, Antonio Paulo and Leitao, Paulo (2021) Recommendation system using reinforcement learning for what-if simulation in digital twin. In: 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), Palma de Mallorca, Spain, 21-23 Jul 2021 ISBN 9781728143958. doi:10.1109/INDIN45523.2021.9557372
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1109/INDIN45523.2021.9557372
Abstract
The research about the digital twin concept is growing worldwide, especially in the industrial sector, due to the increasing digitisation level associated to Industry 4.0. The application of the digital twin concept improves performance of a system by implementing monitoring, diagnosis, optimisation, and decision support actions. In particular, the decision-making process is very time consuming since the decision-maker is presented with hundreds of different scenarios that can be simulated and assessed in a what-if perspective. Bearing this in mind, this paper proposes to integrate a digital twin-based what-if simulation with a recommendation system to improve the decision-making cycle. The recommendation system is based on a reinforcement learning technique and takes user knowledge of the system into consideration and trust in the system recommendation. The applicability of the proposed approach is presented in an assembly line case study for recommending the best configurations for the system operation, in terms of the optimal number of AGVs (Autonomous Guided Vehicles) in various scenarios. The achieved results show its successful application and highlight the benefits of using AI-based recommendation systems for what-if simulation in digital twin systems.
Item Type: | Conference Item (Paper) | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Publisher: | IEEE | ||||
ISBN: | 9781728143958 | ||||
Book Title: | 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) | ||||
Official Date: | 11 October 2021 | ||||
Dates: |
|
||||
DOI: | 10.1109/INDIN45523.2021.9557372 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) | ||||
Type of Event: | Conference | ||||
Location of Event: | Palma de Mallorca, Spain | ||||
Date(s) of Event: | 21-23 Jul 2021 |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |