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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/64557

    Title: 以資訊系統提昇生產機台妥善率 - 以S公司應用驗證為例
    Authors: 林佳鴻;Lin,Chia-Hung
    Contributors: 資訊管理學系在職專班
    Keywords: 預警信號;MES自動化;電腦整合製造;Alarm signal;Manufacturing Execution System;Computer-integrated Manufacturing
    Date: 2014-05-20
    Issue Date: 2014-08-11 18:38:04 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 個案公司爲世界前五大封測廠,對產品出貨品質及檢驗資料報告之要求非常嚴謹。為確保產品的品質,公司要求在全自動生產的流程下蒐集各項製程資料,包括產品檢驗報告、統計製程值、生產參數以及生產機台異常狀況報告等,要提供給客戶以滿足需求。 由於公司已導入電腦整合製造 (Computer Integrated Manufacturing, CIM) 系統及高度自動化生產機台,並透過電腦控制、網路與管理技術,已可將產品由工廠投入到成品產出的所有生產過程與控制整合在一起,進而掌控生產品質。而生產機台及系統的穩定度和工廠產出品質及產能更有直接關係,針對如何降低生產機台的異常頻率更是努力的目標。
    ;The case company is one of the top five packaging and testing factories in the world. The industry has strict manufacturing requirements. To ensure the manufacturing quality, the company must have strict internal policies for controlling the manufacturing processes to meet customer demands. The case company has installed both highly automated equipments and computer integrated manufacturing (CIM) systems for high quality production. Because production quality is highly correlated with equipment stability, it is critical for the company to achieve high levels of equipment stability and utilizations for avoiding product deficits.
    However, it is difficult to identify the root cause of problems within limited time and to act properly to resolve the problems. In most cases, the problems may be resolved by implementing expert system (ES) or case-base reasoning (CBR) systems. However, there still are problems lacking proper resolving procedures because the low frequencies problems and insufficient experiences. For resolving these types of problems, new methods are needed.
    The main purpose of this study is to develop reasonable mechanisms and systems to resolve these problems in the production line. By timely analyzing relevant raw data to predict the occurrence of problems in advance, the equipment can be stopped to resolve the problems in time before incurring serious manufacturing interruptions and product deficits. Beside, reducing the frequency of abnormal events will result in good product quality and production efficiency, obtaining the trust of customers. The company also has created graphical user interface (GUI) to monitor the actual performance of all equipments with more convenience in real time. All pre-defined event can be traced and monitored by the system. With the system, it has become easy to identify production and equipment abnormal situations and then have correct instructions and actions taken. This also reduces the troubleshooting time. According to implementation results, the methods developed in this case should provide a new model for decision-making and actions for the manufacturing control of the industry.
    Appears in Collections:[資訊管理學系碩士在職專班 ] 博碩士論文

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