Abstract:
CM is the grouping of discrete multi-machines that
produce part families with similar geometry or sequence of
process anil aims to improve manufacturing systems
products i t \ . The methods/models used are classified into:
array-based, clustering mathematical programming based
(viz., integer programming), graph theoretic, Multi-Criteria
Decision-Making (MC DM) and artificial intelligence
techniques. Fuzzy c-means clustering approach has been used
to manufacturing cell formation problem by Clin and Hayya,
this differs from a previous ones proposed In \ u and Wang,
and later l>\ Li and Ding, in the sense that Chu and Hayya use
manufacturing routing data rather than design features in part
family formation. Optimised cell formation, taking into
account sequence of operations, alternative routing and partvolume
together is not present in Chu and Hayya. Thus this
paper focuses on stages selection of parts and part families
generation, and selection of machines and process and
grouping of these into cells in the design of a new
manufacturing system considering sequence of operation,
alternative routing and part-volumc. One of the crucial steps in
the design of a cellular manufacturing system is the cell
formation problem, which involves grouping the parts into
part families and machines into machine groups.
Description:
Makalah dipresentasikan pada The 12th International Conference on Computer Modelling and Simulation (UKSim 2010). UK Simulation Society. Cambridge, UK., 24 - 26 March 2010.