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  • 學位論文

建構少量多樣生產模式品質資訊系統之研究

The Construction of Quality Information System for Low Volume Manufacturing

指導教授 : 林士彥 謝俊逸
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摘要


品質是企業在競爭激烈的市場中保持競爭優勢的主要因素之一,為了滿足顧客對高品質、低成本及多樣化的新產品需求,現代製造系統已由大量生產轉為少量多樣的生產方式。 品質管制圖是進行品質管理時的重要工具之一,傳統的品質管制圖需要大量的品質資訊以建立合理的管制界限,而此限制對現代的製造系統,在欲建立品質管制圖時造成新的挑戰。因為在少量多樣的小批量製造環境下,對每個產品或零組件只能取得稀少且有限的品質資訊,因此,在品質資訊不足之下,便無法如傳統的大量生產作業模式時,利用大量的品質資訊來建立可靠並合理的管制界限。 本研究之目的為探討在少量多樣的小批量製造環境下實施統計製程管制,以建立品質管制圖的議題。分別針對蕭華特管制圖與指數加權移動平均值管制圖應用在少量多樣製造環境下的設計與特性的比較分析,依平均連串長度等品質管制圖特性制定一適用少量多樣的小批量製造環境下的管制界限,以供此類企業在進行統計製程管制、訂定管制界限時之決策參考。並依研究結果撰寫發展一適用於少量多樣的小批量製造環境下的品管決策支援系統雛型。

並列摘要


Owing to customer demands and short product life cycles, manufacturing trends have shifted towards a wide variety of mixed products with small batch sizes. It is difficult to apply traditional control charts efficiently and effectively in such environments, and it is not necessary to plot a control chart for each individual part. In modern manufacturing systems, such as short run productions, low volume manufacturing and job shop manufacturing, small batches of multiple part types are manufactured on the same production processes. However, traditional Shewhart control charts and Exponentially Weighted Moving-Average control charts(EWMA)were designed for mass productions. Therefore, the performances of Shewhart and EWMA control charts for monitoring process shifts in modern manufacturing environments are studied. In this study, we compare two different schemes of control charts for monitoring process shifts in modern manufacturing environments. We use analytical results of Average Run Length(ARL)values as performance criteria to provide optimal design. Based on the results, quality engineers can implement various control chart schemes to monitor process shifts for modern manufacturing systems.A decision support systems software prototype was developed to tackle the problems of implementing quality control in modern manufacturing systems.

參考文獻


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