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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/11158


    Title: 封裝廠之機台當機修復順序即時判別機制探討;Research of real time identification mechanism for the recovery sequence of machine down in IC packaging plants
    Authors: 賴志文;Chih-wen Lai
    Contributors: 工業管理研究所碩士在職專班
    Keywords: 機台當機修復順序;修復順序即時判別機制
    Date: 2009-06-25
    Issue Date: 2009-09-22 14:15:12 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 全球企業目前的經營環境也在快速的變化,來自同業甚或異業的激烈競爭,使得企業經營面臨空前未有的挑戰,尤以半導體封裝業為甚。因此半導體封裝產業,無不希望透過不斷的改善來增加競爭力,而生產設備之有效運用,即為確保客戶要求每日最大有效產出,為有效控制,機台當機修復之管理方法,是為生產管理者達致此目標之重大環節。 生產管理面對實際動態之生產作業環境中,維修人力受限、各機台單位時間產能不同、各站別WIP 數量不同及各機台異常情況變異致維修需求時間不同之情況下,只考量其中之任一機台維修原則,並無法確保該原則有利當時有效產出率為最大。生產部門管理者面對諸多情況下,如何以系統觀來衡量其不良的影響,即時正確地識別哪一站別之機台,應為維修之首要標的,是生產線管理者每日必須面對之關鍵決策問題。 因此,面對封裝廠生產現場,機台當機之不確定性與維修人力之有限性,生產現場管理者必須要有一個機台當機修復順序即時判別機制,以利即時協助當機機台修復順序之決策。 本研究希望透過提出一機台當機修復順序即時判別機制,由避免瓶頸饑餓法則為基礎,再以封裝產業的一家公司,依其生產現場環境做為研究標的,本研究將提出一符合半導體封裝廠生產環境需求特性之機台當機修復順序即時判別機制,探討此機台當機修復順序即時判別機制,可協助生產現場管理者,根據現場所取得之即時資訊,計算不同機台當機情況,有效提高生產系統績效。 Manufacturing managers have to face the limited manpower of maintenance, the difference of machine capacity at different work station, the difference of WIP at different work station and the difference of maintenance needs. Just only considering any one of the principles of machine maintenance can not ensure that throughput will be the largest. How to evaluate them by virtue of system approach is challenging the managers of production line, they have to tell correctly and instantly which one machine is the first priority to fix, this is the key decision-making problem which they have to face daily. Therefore, in the face of IC packaging and testing plant at the scene, the uncertainty of machine down and the limited manpower of maintenance, production manager must have a real time identification mechanism for the recovery sequence of machine down, so as to facilitate immediate assistance. Based on the motivation as above, the discussion research is to develop a real time identification mechanism for the recovery sequence of machine down. It may help production managers to improve the performance of manufacturing systems.
    Appears in Collections:[Executive Master of Industrial Management] Electronic Thesis & Dissertation

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