A Study on the construction of a Tamdem Automated Guided Vehicle System by Using the concept of Self-Organizing Map (SOM) neural network

• Main Authors: Yu-Chi Yao, 游玉麒
• Other Authors: Chikong Hung
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/62897117015211981253

碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 90 === This research proposes a basic designing structure of the tandem automated guided vehicle (AGV) system. The main structure consists of two stages as follows: Stage Ι：Work stations partition In this stage, the concept of Self-Organizing Map (SOM) neural network will be use to develop a partitioning scheme to configure tandem AGV system. During the work stations partitioning stage, the total workload of the AGV system will be considered. The partitioning scheme is aimed to minimize the AGV’s workload, which include flow within a zone and flow between zones. Stage Π：Formation of transportation system The concept of transportation center will be used in this stage. In constructing transfer system, this research develop a procedure to find the optimal location of transfer point. This procedure considers the flow of each zone and the distance between each transfer point. We hope the decision of each transfer point is based on the view of the system, not based on the view of a specific zone. Finally a numerical example will be used to illustrate the all procedures developing in this research. A simulation case study is also presented to compare the performance of the transportation system with other papers.