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A k-ary
assembly process is defined as a multi-station process with
k={K1,
K2,
..., Kn, ..., Kn},
where
kn
parts are assembled at station n.
Generation of station sequences (or called subassembly
selections in a k-ary process) and of joint sequences (or
called
mating
feature sequences) are untapped research topics. The existing
approaches in part sequence generation cannot be applied in
station and joint sequence generation due to the following
limitations: (I) the sequence generation is intractable due to
the computational complexity of the algorithms; (II) they are
incapable to deal with the situation when a k-ary process
cannot be reduced to a binary process; (III) they are unable
to generate a complete solution of joint sequences based on
the generated binary part sequences.
This
research overcomes the limitations by developing a methodology
for sequence generation for a k-ary process. It is based upon
proposed approaches of k-piece graph and k-piece
mixed-graph which includes two steps: (1) k-piece graph
and k-piece mixed-graph are defined to represent
assemblies without and with available assembly precedence
information, respectively; (2) generating all k-ary
station sequences and joint sequences based on the generalized
assembly representations
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