Abstract
Assembly is a key manufacturing process for many industries and the use of Design for Assembly (DFA) can have substantial benefits. This paper examines the DFA problem, especially in the context of global manufacturing where suppliers may be distributed over the globe. The use of Genetic Algorithms is proposed to search through networks such as the Internet for parts that both satisfy constraints and minimize cost. The overall result is an architecture that can be used for global manufacturing. This approach is illustrated with a description of an implementation involving the design of Personal Computers.
| Original language | English |
|---|---|
| Pages (from-to) | 593-596 |
| Number of pages | 4 |
| Journal | Computers and Industrial Engineering |
| Volume | 33 |
| Issue number | 3-4 |
| Publication status | Published - 1997 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
Cite this
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Genetic algorithms for design for assembly : The remote constrained genetic algorithm. / Liang, W. Y.; O'Grady, Peter.
In: Computers and Industrial Engineering, Vol. 33, No. 3-4, 01.12.1997, p. 593-596.Research output: Contribution to journal › Article
TY - JOUR
T1 - Genetic algorithms for design for assembly
T2 - The remote constrained genetic algorithm
AU - Liang, W. Y.
AU - O'Grady, Peter
PY - 1997/12/1
Y1 - 1997/12/1
N2 - Assembly is a key manufacturing process for many industries and the use of Design for Assembly (DFA) can have substantial benefits. This paper examines the DFA problem, especially in the context of global manufacturing where suppliers may be distributed over the globe. The use of Genetic Algorithms is proposed to search through networks such as the Internet for parts that both satisfy constraints and minimize cost. The overall result is an architecture that can be used for global manufacturing. This approach is illustrated with a description of an implementation involving the design of Personal Computers.
AB - Assembly is a key manufacturing process for many industries and the use of Design for Assembly (DFA) can have substantial benefits. This paper examines the DFA problem, especially in the context of global manufacturing where suppliers may be distributed over the globe. The use of Genetic Algorithms is proposed to search through networks such as the Internet for parts that both satisfy constraints and minimize cost. The overall result is an architecture that can be used for global manufacturing. This approach is illustrated with a description of an implementation involving the design of Personal Computers.
UR - http://www.scopus.com/inward/record.url?scp=0031358542&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031358542&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0031358542
VL - 33
SP - 593
EP - 596
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
SN - 0360-8352
IS - 3-4
ER -