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Proceedings Paper

Genetic algorithms applied to assembly operations
Author(s): Al J. Underbrink; George P. W. Williams
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Paper Abstract

An investigation applying genetic algorithm techniques to assembly line scheduling is reported. Specifically, the allocation of resources (e.g., assembly crews and their skill levels, tooling, parts availabilities, etc.) to assembly tasks on production line data is performed by a scheduling system based on a genetic algorithm. This article presents the general problem we have attempted to solve and how we have addressed the problem. We discuss our experience with the problem encoding, genetic operators used, the genetic plan, chromosome repair, and schedule evaluation.

Paper Details

Date Published: 1 March 1994
PDF: 11 pages
Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); doi: 10.1117/12.169405
Show Author Affiliations
Al J. Underbrink, Boeing Defense & Space Group (United States)
George P. W. Williams, Boeing Defense & Space Group (United States)

Published in SPIE Proceedings Vol. 2244:
Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry
Wray Buntine; Doug H. Fisher, Editor(s)

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