1 March 1994 Genetic algorithms applied to assembly operations
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Al J. Underbrink, Al J. Underbrink, George P. W. Williams, George P. W. Williams, } "Genetic algorithms applied to assembly operations", Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); doi: 10.1117/12.169405; https://doi.org/10.1117/12.169405


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