Smart Manufacturing Scheduling System: DQN based on Cooperative Edge Computing

In this paper, Deep Q-Network (DQN) was adopted to solve the Job shop Scheduling Problem (JSP) in the smart factory process. On the other hand, cloud computing has sensitive issues in the manufacturing process such as communication delay time and security problems. Research on various aspects of int...

Full description

Saved in:
Bibliographic Details
Published in2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM) pp. 1 - 8
Main Authors Moon, Junhyung, Jeong, Jongpil
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.01.2021
Subjects
Cloud computing
Cooperative Business Process
Deep Q-Network
Edge computing
Job shop scheduling
Job shop Scheduling Problem
Multi Access Edge Computing
Processor scheduling
Security
Smart manufacturing
Transfer learning
Online AccessGet full text
DOI10.1109/IMCOM51814.2021.9377434

Cover

More Information
Summary:In this paper, Deep Q-Network (DQN) was adopted to solve the Job shop Scheduling Problem (JSP) in the smart factory process. On the other hand, cloud computing has sensitive issues in the manufacturing process such as communication delay time and security problems. Research on various aspects of introducing an edge computing system to replace it has been conducted. We propose cooperative scheduling among edge devices in a Multi access Edge Computing (MEC) structure for scheduling without the help of a cloud center in a smart factory edge computing environment. Moreover, efficient DQN is used for experiments based on transfer learning data, and the proposed framework is compared and analyzed with existing frameworks from the perspective of provider a smart factory service.
DOI:10.1109/IMCOM51814.2021.9377434