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|Title: ||管理物聯網風險 - 食品工業為例;Managing Risk for the Internet of Things – the Food Industry as a case|
|Authors: ||黃黎薇;VY, HUYNH LE|
|Keywords: ||風險管理，物聯網（IoT），失效模式效應與關鍵分析（FMECA），食品;Risk Management, Internet of Things (IoT), Failure Mode Effect and Critical Analysis (FMECA), Food Industry|
|Issue Date: ||2017-10-27 12:29:11 (UTC+8)|
然而，任何網絡都有風險並需要確定，以確保在工業環境中良好適應物聯網應用。系統意外的錯誤可能會在運行時間內對其他部件造成不良影響和損壞。因此，本研究涉及物聯網風險管理領域，以澄清每個生產領域的任何隱含危害。其問題在於保證生產線順利運行，為客戶提供優質的產品。故障模式效應和關鍵分析（FMECA）方法被認為是適用於許多行業的合適方法，也可以減輕食品工業中的潛在故障安全性和可靠性分析。;Food Industry plays an important role in both national economy and health residents through many generations. Concern about food safety and characteristics of the food that the customer buys and eats every day increases day by day. Food safety hazard can contain hidden symptom and cause serious disease later or even death. This problem can damage tourism and trade, lead to joblessness and lawsuit, impose a burden on health-care system and reduce economic productivity.
In the food the industry, raw materials are transformed into finished products and go through many steps before reaching the customer channels. By applying the global network infrastructure of physical objects that comprise embedded technology to communication and cooperation, which is characterized as Internet of Things (IoT), is utilized in the food the industry to gain more accurate controlling and detect food poison to improve food quality. Follow the trend of advanced information and computer technology, a huge number of plants implement IoT in the diversity of production areas include cost, benefit, project, functionality, organization, competition, environmental, hardware, and software. Field devices, backbone system, communication infrastructure are three parts of IoT that distributed to the entire network system.
However, any network can have risks and need to determine to ensure a good fit of IoT application in the industrial environment. An unexpected mistake in the system can bring bad effects and damage to other parts during running time. Therefore, this study takes domain about Risk Management of Internet of Things to clarify any implicit endanger in each production area. Its issue is concerned to guarantee that production lines run smoothly in order to provide quality products for customers. Failure Mode Effect and Critical Analysis (FMECA) method, is considered to be a suitable methodology to apply to many industries, also can mitigate potential failures safety and reliability analysis in Food Industry.
|Appears in Collections:||[工業管理研究所 ] 博碩士論文|
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