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The evolution of cell formation problem methodologies based on recent studies (1997-2008): review and directions for future research

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journal contribution
posted on 2015-03-19, 14:59 authored by Grammatoula PapaioannouGrammatoula Papaioannou, John M. Wilson
This paper presents a literature review of the cell formation (CF) problem concentrating on formulations proposed in the last decade. It refers to a number of solution approaches that have been employed for CF such as mathematical programming, heuristic and metaheuristic methodologies and artificial intelligence strategies. A comparison and evaluation of all methodologies is attempted and some shortcomings are highlighted. Finally, suggestions for future research are proposed useful for CF researchers.

History

School

  • Business and Economics

Department

  • Business

Published in

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Volume

206

Issue

3

Pages

509 - 521 (13)

Citation

PAPAIOANNOU, G. and WILSON, J.M., 2010. The evolution of cell formation problem methodologies based on recent studies (1997-2008): review and directions for future research. European Journal of Operational Research, 206 (3), pp. 509 - 521.

Publisher

© Elsevier

Version

  • SMUR (Submitted Manuscript Under Review)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2010

Notes

NOTICE: this is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, vol 206, issue 3, November 2010, DOI: 10.1016/j.ejor.2009.10.020

ISSN

0377-2217

Language

  • en