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• 영문명: A Multi-attribute Dispatching Rule Using A Neural Network for An Automated Guided Vehicle
• 발행기관: 한국시뮬레이션학회
• 저자명: 정병호(Byung Ho Jeong)
• 간행물 정보: 『한국시뮬레이션학회 논문지』제9권 제3호, 77~89쪽, 전체 13쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2000.09.30

영문 초록

This paper suggests a multi-attribute dispatching rule for an automa guided vehicle(AGV). The attributes to be considered are the number of queues in outgoing buffers of workstations, distance between an idle AGV and a workstation with a job waiting for the service of vehicle, and the number of queues in input buffers of the destination workstation of a job. The suggested rule is based on the simple additive weighting method using a normalized score for each at bute. A neural network approach is applied to obtain an appropriate weight vector of attributes based on the current status of the manufacturing system. Backpropagation algorithm is used to train the neural network model. The proposed dispatching rules and some single attribute rules are compared and analyzed by simulation technique. A number of simulation runs are execu d under different experimental conditions to compare the several performance measures of the suggested rules and some existing single attribute dispatching rules each other.

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