Determining an Efficient Parts Layout for Assembly Cell Production by Using GA and Virtual Factory System
This paper describes a system that can determine an efficient parts layout for assembly cell production before setting up a real cell production line in a factory. This system is called the Virtual Assembly Cell production System (VACS). VACS consists of two modules, a genetic algorithm (GA) for determining the parts layout and a virtual production system. The GA system utilizes a unique crossover method called Twice Transformation Crossover. VACS is applied to a cell production line for assembling a personal computer. An efficient parts layout is generated, which demonstrates the usefulness of VACS.
KeywordsProduction System Virtual Factory Assembly Line Cell Production GA
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