An AI-based Multi-objective Optimization Approach for Monitoring Manufacturing Processes

Mohammadhossein Ghahramani, Yan Qiao, Meng Chu Zhou, Nai Qi Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Recently, considerable effort has been devoted to applying new techniques such as Artificial Intelligence (AI) and machine learning in manufacturing systems. Implementing effi-cient fault detection and diagnosis procedure for manufacturing systems can provide manufacturers with significant advantages, e.g., enhancing product quality and yield while reducing cost. Maximizing efficiency and controlling costs is the goal of every operation. Optimization methods like Evolutionary Algorithms can be considered for modeling manufacturing operational procedures using datasets whose contents are populated by various sensors and other data sources. Embracing AI to empower organizations to analyze data can lead to efficient and intelligent automation. In this paper, we propose a hybrid model for monitoring manufacturing operations based on a multi-objective approach. This model considers different conflicting objectives that should be minimized simultaneously. Our goal is to provide an advanced methodology for exploring manufacturing processes and to gain perspective on production status. It enables manufacturers to access the effectiveness of predictive technologies and respond well to any disruptive trends.

Original languageEnglish (US)
Title of host publication2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021
EditorsJiacun Wang, Ying Tang, Fei-Yue Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665426213
DOIs
StatePublished - 2021
Event2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 - Beijing, China
Duration: Dec 18 2021Dec 20 2021

Publication series

Name2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021

Conference

Conference2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021
Country/TerritoryChina
CityBeijing
Period12/18/2112/20/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'An AI-based Multi-objective Optimization Approach for Monitoring Manufacturing Processes'. Together they form a unique fingerprint.

Cite this