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The main problem in the design of a CM is the formation of machine groups and corresponding part families.
In other words, the cells are reconfigured in the beginning of a period leading to a change in machine groups and parts families and work teams.
However, some of these approaches have deficiencies and do not always produce proper machine groups and part families from the initial machine part incidence matrix.
We introduce a scheduling-based cooperation incentive scheme which enables machine nodes to organize themselves locally, create machine groups, and communicate through group representatives to the base station.
The initial step in the design of a cellular manufacturing (CM) system is the identification of part families and machine groups and forming manufacturing cells so as to process each part family within a machine group with minimum inter-cellular movements of parts.
Similar(55)
It is used to design a good cellular manufacturing system that uses the similarity measure between parts and machines so that it can identify part families and machine groups.
It can identify part families and machine groups.
In this paper, we apply a fuzzy relational data clustering algorithm to form part families and machine groups.
Therefore, it is only natural to expect that use of sequence data must result in not only identifying the part families and machine groups but also the layout (sequence) of the machines within each cell.
The key step in designing any cellular manufacturing system is the identification of part families and machine groups for the creation of cells that uses the similarities between parts in relation to the machines in their manufacture.
Selected centers were randomly divided in to dedicated (D) and non-dedicated (ND HDD machine groups, including 297 patients in D (4 centers) and 296 patients in ND group (8 centers).
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