Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information

Simple item page
dc.contributor.authorZhu, Yingyu
dc.contributor.authorLi, Simon
dc.date.accessioned2018-09-26T07:28:06Z
dc.date.available2018-09-26T07:28:06Z
dc.date.issued2018-05-20
dc.date.updated2018-09-26T07:28:06Z
dc.description.abstractThe purpose of this paper is to advance the similarity coefficient method to solve cell formation (CF) problems in two aspects. Firstly, while numerous similarity coefficients have been proposed to incorporate different production factors in literature, a weighted sum formulation is applied to aggregate them into a nonbinary matrix to indicate the dependency strength among machines and parts. This practice allows flexible incorporation of multiple production factors in the resolution of CF problems. Secondly, a two-mode similarity coefficient is applied to simultaneously form machine groups and part families based on the classical framework of hierarchical clustering. This practice not only eliminates the sequential process of grouping machines (or parts) first and then assigning parts (or machines), but also improves the quality of solutions. The proposed clustering method has been tested through twelve literature examples. The results demonstrate that the proposed method can at least yield solutions comparable to the solutions obtained by metaheuristics. It can yield better results in some instances, as well.
dc.description.versionPeer Reviewed
dc.identifier.citationYingyu Zhu and Simon Li, “Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information,” Mathematical Problems in Engineering, vol. 2018, Article ID 2841325, 13 pages, 2018. doi:10.1155/2018/2841325
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32980
dc.identifier.urihttp://dx.doi.org/10.1155/2018/2841325
dc.identifier.urihttp://hdl.handle.net/1880/107817
dc.language.rfc3066en
dc.rights.holderCopyright © 2018 Yingyu Zhu and Simon Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleSimultaneous Hierarchical Clustering for Cell Formation Problems with Production Information
dc.typeJournal Article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
MPE.2018.2841325.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Access Publications