English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 80990/80990 (100%)
造訪人次 : 42119151      線上人數 : 1277
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/76594


    題名: 多準則決策並結合精實六標準差之研究-以電子組裝廠為例
    作者: 邱仲甫;Chiu, Chung-Fu
    貢獻者: 工業管理研究所在職專班
    關鍵詞: 多準則決策;精實六標準差;限制理論;DMAIC;層級分析法;multi criteria decision making;lean six sigma;theory of constraints;DMAIC;analytic hierarchy process
    日期: 2018-07-05
    上傳時間: 2018-08-31 11:29:13 (UTC+8)
    出版者: 國立中央大學
    摘要: 全球市場結構已經為消費者所主導,故製造業目前皆面臨產品的生命週期縮短,利潤下降,為了提升競爭力,需要不斷做營運改善。此次品牌廠為了爭取更多市場佔有率,在統計並研究眾多資料後認為只要將交付週期縮短,應該有機會將部分市場客群爭取過來,而代工廠的使命就是盡力去做。
    品牌客戶聲音是每個電子代工廠最重視的部分,但企業內部因為部門眾多,往往無法快速整合意見並統整出方向,故在參考許多文獻後覺得多準則決策可能是一個可以考慮的方向,這個從1980年代發展至今的決策模式,已經被證實為是相當實用的。其中的層級分析法較為易懂,且已經有大量的範例,而精實六標準差是製造業相當熟悉的策略,因為精實生產和六標準差都在製造業推行已久,其中大部分的問題都可以因此解決。本研究將探討如何利用精實六標準差和限制理論基礎來設計改善方案,並運用多準則決策來選擇,以避免公司內過多意見影響決定。
    本研究先按照客戶的要求設立交付周期的改善目標,並運用DMAIC手法設計出多種方案,再來使用層級分析法,第一層要素先放入精實生產常討論到的品質、成本、交期三要素,第二層再放入再由部門專家腦力激盪出的數個要素,由相關人員做問卷統計並利用矩陣分析做出決策,最後再看實際導入的成效,整理相關資料和問題並所出總結。
    ;The global market structure has been dominated by consumers. Therefore, the manufacturing industry is currently facing the shortened product life cycle and the decline in profits. In order to enhance competitiveness, it is necessary to continue to improve operations. In order to gain more market share, this brand owner believes that as long as the delivery cycle is shortened, it should have the opportunity to win more customers in some markets. The factory′s mission is to do its best.
    The brand customer voice is the most important part of each electronic factorty. However, due to the large number of departments within the company, they often cannot quickly integrate opinions and unify the direction. Therefore, after considering many documents, it is likely that multi criteria decision making may be a direction that can be considered. The decision making model that has been developed since the 1980s has been proven to be quite practical. The analytic hierarchy analysis process is relatively easy to understand, and there are already a large number of examples, and the Lean Six Standard Deviation is the same familiar strategy for the manufacturing industry, because the lean production and the six standard deviations have been implemented in the manufacturing industry for a long time, most of which Problems can be solved as a result. This study will explore how to use the lean six sigma and theory of constraints to design an improvement plan and use the criteria decision to choose so as to avoid too many opinions within the company affecting the decision.
    In this study, we first set up the improvement goals of the delivery cycle according to the requirements of our customers, and use the DMAIC approach to design a variety of solutions. Then we use the analytic hierarchy process. Quality, cost, delivery these three elements are inputted into the first level, then departmental experts brainstormed several elements which are are inputted into the the second layer. The related personnel make questionnaires and use matrix analysis to make decisions. Finally, the effectiveness of the actual import is reviewed, and related data and problems are sorted out, finally, we have summary.
    顯示於類別:[工業管理研究所碩士在職專班 ] 博碩士論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML264檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明