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  • 學位論文

新產品量產之生產系統改善與評估模式

The Improvement and Evaluation Model for New Products' Manufacturing System

指導教授 : 鄭元杰 博士
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摘要


為維持經濟高成長率,在製造業而言,需加速朝高科技及高附加價值之研發生產轉型,而在新產品研發完成後,是否能以高效能之方式量產,亦為其中之關鍵,由於新產品在導入生產系統初期,其系統及流程之設計皆由初期投入之研發技術人員依其產品特性設計製造途程,其規劃之生產流程往往缺乏整體效率,而反應出低生產力及彈性,因此,須由專業生產管理及技術人員加以改善,因此,本研究以上述之問題為核心,以生產流程之合理化及改良式DBR排程法二階段改善方式,改善新建立之生產系統。 在前人之研究中,並未針對新產品之生產系統改善提出研究方案,因此,本研究提出一整合性之二階段改善法,第一階段以刪除、合併、重排及簡化法,作為改善方法;再以DBR排程法,控制流程流量,作為第二階段改善法;並計算生產系統之生產力、彈性及品質等指標,作為改善成果績效之評估。 本研究以光通訊產業中DWDM高密度多工分波器(Dense Wavelength Division Multiplexer)生產及光學引擎之元件為例說明,將二階段改善前後之生產系統網圖,以AweSim模擬軟體為工具以獲得客觀結果,作為執行前之參考,經本研究之評估模式可得生產力較改善前增加373%及22%;彈性增加121.1%及59.2%;而品質方面良率不受影響且減少不良發生機率達26.5%及19.6%。

並列摘要


In order to engage in the fast economic environment change and industry-wise growth, manufacturing companies must transform themselves quick enough into high profit and efficiency ones through high value-added products developing with heavy R&D efforts during new product development (NPD) processes. However, in the post R&D stage, the key concern is that how the production division can pick up the already developed technologies from R&D and implement them into the mass production stage smoothly with high throughputs and effectiveness. Due to the new products’ production systems are initially designed by R&D engineers whom without real mass production experience, there are always some problems taking place between the R&D transferring process to mass production lead-in period. As a result, the low productivity and flexibility occurred during the early mass production stage. The purpose of this research is to solve the above problems by an improved 2-phase integrated model referring as DBR scheduling and rationalizing the production processes to improve the new production system’s effectiveness. By implementing my proposed method, there will be some productivity, flexibility and quality index evaluated by system simulation, and team discussion and brainstorming. In this research, there are 2 examples applied in the integrated improvement model. After 2-phase improvement, the productivity index raised 373% and 22%, and the flexibility index raised 121.1% and 59.2% respectively; for the quality index, the yield is same as original but the product’s “no-good” probability decreased 26.5% and 19.6% respectively.

參考文獻


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