GT for CE: Operating Group Technology for Team Formation in Concurrent Engineering

被引:0
|
作者
Aleisa, Esra [1 ]
Suresh, Nallan C. [2 ]
Lin, Li [3 ]
机构
[1] Kuwait Univ, Dept Ind Engn, Kuwait, Kuwait
[2] SUNY Buffalo, Operat Management & Strategy, Buffalo, NY USA
[3] SUNY Buffalo, Dept Ind Engn, Buffalo, NY USA
关键词
Concurrent Engineering; team formation; group technology (GT); cellular manufacturing; sequence-based clustering; fuzzy artificial neural networks; CELLULAR MANUFACTURING SYSTEMS; ART NEURAL-NETWORK; FUZZY ART; DESIGN; ALGORITHM; SEQUENCES; FLOW; FRAMEWORK; PARTS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This research proposes a method for team establishment and organization in concurrent engineering (CE) context using cell formation techniques in Group technology. The team formulation relies on the resemblances in the overall structure of interdisciplinary designs teams in CE to multifunctional machine-cells in GT. This approach avails most cell-formation algorithms to be utilized for this purpose. To maintain task sequence in teams, we apply a sequence-based cell-formation algorithm to the task-team assignment in CE. The algorithm uses Fuzzy ART neural networks which is suitable for large scale CE applications. The approach was demonstrated on an illustrative manufacturing facility design problem.
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页码:109 / 116
页数:8
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