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A data mining based clustering approach to group technology

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3 Author(s)
Mu-Chen Chen ; Inst. of Commerce Autom. & Manage., Nat. Taipei Univ. of Technol., Taiwan ; Hsiao-Pin Wu ; Chia-Ping Lin

Cellular manufacturing is an essential application of group technology (GT) in which families of parts are produced in manufacturing cells. This paper describes the development of a cell formation approach based on association rule mining and 0-1 integer programming. It is valuable to find the important associations among machines such that the occurrence of some machines in a machine cell will cause the occurrence of other machines in the same cell. A clustering model using the discovered association data is formulated to maximize the closeness measures among machines within each cell. From the results of three medium-sized problems, the proposed approach shows its ability to find quality solutions of cell formation problems.

Published in:

Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on  (Volume:3 )

Date of Conference:

14-19 Sept. 2003