A New Sequence Evolution Approach to Assembly Planning  

Oleh:

Fujimoto, H. ; Sebaaly, M. F.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 122 no. 1 (Feb. 2000), page 198-205.
Topik: EVOLUTION; evolution approach; assembly planning

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Assembly planning is the problem of finding the best or optimal sequence to assemble a product, starting from its design data. It is still solved manually in most advanced assembly plants, despite the large amount of related research. One of the main reasons might be the use of exact - and / or linear -solution approaches. This paper introd uces a different approach by applying a modified genetic algorithm (GA). A "best" solution is generated without searching the complete candidate space, while search is performed on a sequence population basis. The GA is modified to cope with sequence nonlinearity and constraints.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali