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

doi:10.1109/ICASTECH.2009.5409694

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

Faculty of Engineering and the Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 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 language	English
Title of host publication	ICAST 2009 - 2nd International Conference on Adaptive Science and Technology
Pages	402-409
Number of pages	8
DOIs	https://doi.org/10.1109/ICASTECH.2009.5409694
Publication status	Published - 2009
Event	2nd International Conference on Adaptive Science and Technology, ICAST 2009 - Accra, Ghana Duration: 14 Dec 2009 → 16 Dec 2009

Publication series

Name	ICAST 2009 - 2nd International Conference on Adaptive Science and Technology

Conference

Conference	2nd International Conference on Adaptive Science and Technology, ICAST 2009
Country/Territory	Ghana
City	Accra
Period	14/12/09 → 16/12/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AI
ANN
RCMS
RMC

ASJC Scopus subject areas

Computer Networks and Communications
General Energy
Electrical and Electronic Engineering

Access to Document

10.1109/ICASTECH.2009.5409694

Cite this

Xing, B., Nelwamondo, F. V., Battle, K., Gao, W., & Marwala, T. (2009). Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). In ICAST 2009 - 2nd International Conference on Adaptive Science and Technology (pp. 402-409). Article 5409694 (ICAST 2009 - 2nd International Conference on Adaptive Science and Technology). https://doi.org/10.1109/ICASTECH.2009.5409694

Xing, Bo ; Nelwamondo, Fulufhelo V. ; Battle, Kimberly et al. / Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). ICAST 2009 - 2nd International Conference on Adaptive Science and Technology. 2009. pp. 402-409 (ICAST 2009 - 2nd International Conference on Adaptive Science and Technology).

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

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.",

keywords = "AI, ANN, RCMS, RMC",

author = "Bo Xing and Nelwamondo, \{Fulufhelo V.\} and Kimberly Battle and Wenjing Gao and Tshilidzi Marwala",

year = "2009",

doi = "10.1109/ICASTECH.2009.5409694",

language = "English",

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series = "ICAST 2009 - 2nd International Conference on Adaptive Science and Technology",

pages = "402--409",

booktitle = "ICAST 2009 - 2nd International Conference on Adaptive Science and Technology",

note = "2nd International Conference on Adaptive Science and Technology, ICAST 2009 ; Conference date: 14-12-2009 Through 16-12-2009",

}

Xing, B, Nelwamondo, FV, Battle, K, Gao, W & Marwala, T 2009, Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). in ICAST 2009 - 2nd International Conference on Adaptive Science and Technology., 5409694, ICAST 2009 - 2nd International Conference on Adaptive Science and Technology, pp. 402-409, 2nd International Conference on Adaptive Science and Technology, ICAST 2009, Accra, Ghana, 14/12/09. https://doi.org/10.1109/ICASTECH.2009.5409694

Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). / Xing, Bo; Nelwamondo, Fulufhelo V.; Battle, Kimberly et al.
ICAST 2009 - 2nd International Conference on Adaptive Science and Technology. 2009. p. 402-409 5409694 (ICAST 2009 - 2nd International Conference on Adaptive Science and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)

AU - Xing, Bo

AU - Nelwamondo, Fulufhelo V.

AU - Battle, Kimberly

AU - Gao, Wenjing

AU - Marwala, Tshilidzi

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - AI

KW - ANN

KW - RCMS

KW - RMC

UR - https://www.scopus.com/pages/publications/77950921929

U2 - 10.1109/ICASTECH.2009.5409694

DO - 10.1109/ICASTECH.2009.5409694

M3 - Conference contribution

AN - SCOPUS:77950921929

SN - 9781424435234

T3 - ICAST 2009 - 2nd International Conference on Adaptive Science and Technology

SP - 402

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BT - ICAST 2009 - 2nd International Conference on Adaptive Science and Technology

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ER -

Xing B, Nelwamondo FV, Battle K, Gao W, Marwala T. Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). In ICAST 2009 - 2nd International Conference on Adaptive Science and Technology. 2009. p. 402-409. 5409694. (ICAST 2009 - 2nd International Conference on Adaptive Science and Technology). doi: 10.1109/ICASTECH.2009.5409694

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this