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
Liang, W. Y., & O'Grady, P. (1997). Genetic algorithms for design for assembly: The remote constrained genetic algorithm. Computers and Industrial Engineering, 33(3-4), 593-596.