Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective

Bo Xing; Wen Jing Gao; Fulufhelo V. Nelwamondo; Kimberly Battle; Tshilidzi Marwala

doi:10.1109/FUZZY.2010.5584234

Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective

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

Faculty of Engineering and the Built Environment

University of Johannesburg
Council for Scientific and Industrial Research

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

5 Citations (Scopus)

Abstract

In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010
DOIs	https://doi.org/10.1109/FUZZY.2010.5584234
Publication status	Published - 2010
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Publication series

Name	2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics

Access to Document

10.1109/FUZZY.2010.5584234

Cite this

@inproceedings{2846888adead460d9f0ff6b8f26cf83d,

title = "Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective",

abstract = "In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.",

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

year = "2010",

doi = "10.1109/FUZZY.2010.5584234",

language = "English",

isbn = "9781424469208",

series = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010",

note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

}

Xing, B, Gao, WJ, Nelwamondo, FV, Battle, K & Marwala, T 2010, Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010., 5584234, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010, Barcelona, Spain, 18/07/10. https://doi.org/10.1109/FUZZY.2010.5584234

Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective. / Xing, Bo; Gao, Wen Jing; Nelwamondo, Fulufhelo V. et al.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010. 2010. 5584234 (2010 IEEE World Congress on Computational Intelligence, WCCI 2010).

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

TY - GEN

T1 - Cellular manufacturing system scheduling under fuzzy constraints

T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

AU - Xing, Bo

AU - Gao, Wen Jing

AU - Nelwamondo, Fulufhelo V.

AU - Battle, Kimberly

AU - Marwala, Tshilidzi

PY - 2010

Y1 - 2010

N2 - In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.

AB - In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.

UR - https://www.scopus.com/pages/publications/78549270767

U2 - 10.1109/FUZZY.2010.5584234

DO - 10.1109/FUZZY.2010.5584234

M3 - Conference contribution

AN - SCOPUS:78549270767

SN - 9781424469208

T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010

BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Y2 - 18 July 2010 through 23 July 2010

ER -

Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this