Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)

Bo Xing, Fulufhelo V. Nelwamondo, Kimberly Battle, Wenjing Gao, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

This work focuses on the design and control of a novel hybrid manufacturing system: Reconfigurable Cellular Manufacturing System (RCMS) by using Artificial Intelligence (AI) approach. It is hybrid as it combines the advantages of Cellular Manufacturing System (CMS) and Reconfigurable Manufacturing System (RMS). In addition to inheriting desirable properties from CMS and RMS, RCMS provides additional benefits including flexibility and the ability to respond to changing products, product mix and market conditions during its useful life, avoiding premature obsolescence of the manufacturing system. The emphasis of this research is the formation of Reconfigurable Manufacturing Cell (RMC) which is the dynamic and logical clustering of some manufacturing resources, driven by specific customer orders, aiming at optimally fulfilling customers' orders along with other RMCs in the RCMS.

Original languageEnglish
Title of host publicationICAST 2009 - 2nd International Conference on Adaptive Science and Technology
Pages402-409
Number of pages8
DOIs
Publication statusPublished - 2009
Event2nd International Conference on Adaptive Science and Technology, ICAST 2009 - Accra, Ghana
Duration: 14 Dec 200916 Dec 2009

Publication series

NameICAST 2009 - 2nd International Conference on Adaptive Science and Technology

Conference

Conference2nd International Conference on Adaptive Science and Technology, ICAST 2009
Country/TerritoryGhana
CityAccra
Period14/12/0916/12/09

Keywords

  • AI
  • ANN
  • RCMS
  • RMC

ASJC Scopus subject areas

  • Computer Networks and Communications
  • General Energy
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)'. Together they form a unique fingerprint.

Cite this