博碩士論文 111456029 完整後設資料紀錄

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DC.contributor工業管理研究所在職專班zh_TW
DC.creator潘昀楷zh_TW
DC.creatorYun-Kai Panen_US
dc.date.accessioned2024-5-21T07:39:07Z
dc.date.available2024-5-21T07:39:07Z
dc.date.issued2024
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=111456029
dc.contributor.department工業管理研究所在職專班zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract塑膠產業為一個相對成熟的行業,近年來面臨中國和東南亞國家的競爭影響,因此需要在製造成本上有更好的競爭力,以保有在台灣生產的優勢,並實現利潤最大化。 對於塑膠射出製造業而言,原材料成本佔製造成本很大比例,因此降低生產損耗是一個重要的策略。這不僅可以降低原材料成本,還可以提高生產效率,從而增強競爭力,維持業務盈利能力。 由於塑膠射出產業大多為中小企業,沒有過多的人力資源能夠執行太過於複雜的專案改善計畫。本文以標準差中常用的六標準差中的DMAIC方法,從定義問題開始,接著利用現有系統蒐集數據,利用要因分析圖與迴歸與決策樹模型的建立找到影響損耗的因子,改善階段分為兩個階段執行。第一階段為即時性改善,第二階段為預防性改善,最後在控制階段可以利用推播通知作為參數超出範圍的提醒功能,以達到即時性的生產改善。zh_TW
dc.description.abstractThe plastic industry is a relatively mature sector that has faced increasing competition from China and Southeast Asian countries in recent years. To maintain its production advantage in Taiwan and maximize profits, it needs to enhance competitiveness in manufacturing costs. For plastic injection molding, raw material costs constitute a significant portion of production expenses. Therefore, reducing production losses is crucial. This not only lowers material costs but also enhances production efficiency, thereby strengthening competitiveness and sustaining business profitability. Given that many plastic injection molding businesses are small or medium-sized enterprises with limited human resources for complex improvement projects, this paper adopts the DMAIC method. Starting from problem definition, it utilizes existing systems to collect data and establishes cause-and-effect analysis, regression, and decision tree models to identify factors affecting losses. The improvement process is divided into two stages: immediate improvement and preventive improvement. Finally, in the control stage, push notifications are used as reminders for exceeding limits to achieve real-time production improvement.en_US
DC.subject迴歸模型zh_TW
DC.subject決策樹模型zh_TW
DC.subject六標準差zh_TW
DC.subject損耗率zh_TW
DC.subjectRegression modelen_US
DC.subjectDecision tree modelen_US
DC.subjectSix sigmaen_US
DC.subjectProduction lossesen_US
DC.title利用資料分析結合六標準差進行生產損耗改善zh_TW
dc.language.isozh-TWzh-TW
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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