A Study on the Report Data Functionality of the Shop-floor WIP

• Main Authors: WU, JIA-RU, 吳佳儒
• Other Authors: CHENG, TZONG-MING
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/cuxgt2

碩士 === 朝陽科技大學 === 工業工程與管理系 === 106 === In modern manufacturing environment digital tools have been largely adopted to link or connect subtle tasks, and to replace human efforts. This is also the basic concept of systemization and automation. In fact, the information system has prevail human in speed, capability and accuracy, and thus intelligence. It is the cloud technology that makes IoTs and RFID more powerful in the shop-floor, in which production information are collected in realtime and managed in an overall perspective. As a result, the information pile up have become effective knowledge and even wisdom for an optimum management. Realtime data acquisition and interpretation has become critical for manufacturing industry for they will help cutting down enormous works and generate more profit. The first step for implementing this technology is to determine the type of data to collect on the WIP, and outline the data process flow. By applying the methodology of this research on a cloud database, implicit production status, in the WIP point of view, in everywhere on a shop-floor can become explicit, and the decision made, thereby, can be more effective.