Knowledge Modeling , Plant Deployment and Execution Control for the Agile Manufacturing of the Components with Wide Variation and Big Production Quantity

• Main Authors: Hsiang-Lung Li, 李翔龍
• Other Authors: Yuan-Chen Yu
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/79991947048128714294

碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 97 === Chip resistors are necessary basic components in the electronic products. The total production quantity of chip resistors in our country are half of the total usage in the world. The unique characteristics of chip resistor production are wide variation in product configuration, big production quantity and high demand in mass customization. To make the manufacturing of such components be an agile system, it is very important to properly represent the manufacturing knowledge of such wide variation products and to deploy the manufacturing plant for such high volume production. As well as to effectively execute and control the operation of the whole plant, which is the aim of this research. To achieve the aim, agile manufacturing and enterprise model MR-IE (Enterprise Integration Reference Model) proposed by Y. C. Yu was adopted as the basic manufacturing system model. In MR-IE, there are VPC, GAMP and GAMM sub-models that were adopted to represent the variations in product configuration, manufacturing process, and production facility structure, respectively. As to the manufacturing plant deployment, the model of material flow and manufacturing process are integrated to design the deployment of production areas, production lines, AS/RS and material transportation. Based on all the manufacturing knowledge represented and the manufacturing plant deployed, we can then model the whole plant operation from work order receiving, scheduling, dispatching, and execution with EPC (Event-Driven Process Chain). Integrating all the properly designed manufacturing knowledge and execution control, it is expected that an agile manufacturing for chip resistor production can be achieved.