追求工業4.0下建立智慧生產平台;Smart Production for Industry 4.0

NCUIR > School of Management at National Central University > Executive Master of Industrial Management > Electronic Thesis & Dissertation > Item 987654321/76571

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/76571

Title:	追求工業4.0下建立智慧生產平台;Smart Production for Industry 4.0
Authors:	吳明修;Wu, Ming-Hsiu
Contributors:	工業管理研究所在職專班
Keywords:	工業4.0;智慧生產;物聯網;雲端運算;大數據;Industry 4.0;Smart production;Internet of Things;Big data and cloud computing
Date:	2018-06-26
Issue Date:	2018-08-31 11:28:17 (UTC+8)
Publisher:	國立中央大學
Abstract:	自從人類開始使用機械代替人力以來，人們不斷地加快生產製造的效率，到了工業革命，人們開始會使用電力後，開始能夠大量生產，人們有了更多時間能夠進行其他發明工作，直到1970發明了電腦，生產製造更是以等比級數的進步，2011年德國提出了工業4.0，內容包含無人工廠、人工智慧及大數據與雲端運算等技術，各國也紛紛提出相關的政策，但各國企業大多還沒有相關的技術，部分還在工業3.0的自動化階段，甚至某些產業還在工業2.0大量生產的階段，且不是每間企業都能夠有足夠的資源能夠進行升級，但各產業仍須順應趨勢不斷創新，避免失去競爭的優勢。工業4.0範圍廣泛，但主要意涵在於智慧生產，使用大數據及雲端運算取代人為判斷，其中包含感測器、物聯網及大數據與雲端運算，企業在追求工業4.0的目標前，需確認那些概念或是功能，能夠有效的協助企業升級，並盤點現有資源，逐步進行升級，導入過程中在新舊系統間取得平衡，導入後須衡量是否有成效，並逐步進行修正。工業4.0的目標無法一蹴可及，本文以半導體代工廠建立智慧生產平台為案例，旨在說明企業如何進入工業4.0的流程，提供資源有限的中小企業做為參考。 ;People have been accelerating the efficiency of production and manufacturing, since people replaced the workers with machines. After industrial revolution, people began to use electricity and began mass production. We have more time to carry out other invention because of the invention of the computer in 1970s. The manufacturing is progress faster than before. In 2011, Germany proposed Industry 4.0 which includes technologies such as unmanned factories, artificial intelligence, and big data and cloud computing. Countries have also put forward related policies, but most companies have no relevant technology, some are still in the automation stage of Industry 3.0, and some industries are still in the stage of mass production of Industry 2.0. Not every enterprise can have enough resources to be able to upgrade, but the industries still have to follow the trend. Constantly innovate to avoid losing the competitive advantage. Industry 4.0 has a wide range of applications, but its main implications are smart production, which uses big data and cloud computing to replace human judgment, including sensors, the Internet of Things, and big data and cloud computing. Companies need to confirm those goals before pursuing Industry 4.0. Concepts or functions can effectively assist enterprises in upgrading, inventory existing resources, and gradually upgrade. In the process of import, a balance is achieved between the new and old systems. After the introduction, it must measure whether or not it is effective and gradually correct it. The goal of Industry 4.0 cannot be reached. This article uses a semiconductor manufacturing plant to establish a smart production platform as a case. It aims to illustrate how companies can enter the process of Industry 4.0 and provide SMEs with limited resources as a reference.
Appears in Collections:	[Executive Master of Industrial Management] Electronic Thesis & Dissertation

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