A Study on the Cloud-based Industrial automation Alert Service and Business Model Planning for the UNION Market Enterprise

碩士 === 國立中央大學 === 高階主管企管碩士班 === 103 === Manufacturing requires a lot of manpower and equipment. Sudden disasters will inevitably cause severe loss to the manufacturer. Most widely available alert systems are unable to function in a real-time setting. A well designed network-based system, integrating...

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Bibliographic Details
Main Authors: Hung-En Lu, 鹿鴻恩
Other Authors: Cheng-Kiang Farn
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/7m5532
Description
Summary:碩士 === 國立中央大學 === 高階主管企管碩士班 === 103 === Manufacturing requires a lot of manpower and equipment. Sudden disasters will inevitably cause severe loss to the manufacturer. Most widely available alert systems are unable to function in a real-time setting. A well designed network-based system, integrating hardware, software and networks, may fulfill the needs. This can be offered through a cloud-based service. This study propose an architecture for building a new generation alert system, based on the industrial automation monitoring system, incorporating sensor network technology to replace traditional human inspections to achieve effective early warnings. The proposed service will also assist companies to upgrade their management. Through well designed human-machine interface, massive data automatically collected through the senor network can be stored at a remote site. Effective use of the new data can result in new insights through mining of the “big data” that is unavailable before. The proposal simplified the operations, with three components, namely, installations of sensors, smart recorders for data collection and transmissions, and Web-based user interface for ease of use. In addition, this study also analyzed the possible business model, whereby the proposed system can generate enough value for the company. Two alternative service plans can be offered to customers. First, cloud-based service with service charge, in addition to sensor installations. Second, selling of the cloud-base system as a product so that customers can provide their in house service through a private cloud. The services can be customized to meet different customer needs. A feasibility study reveals the viability of the proposal.