研究生: |
張秉宸 Ping-Chen Chang |
---|---|
論文名稱: |
多次重工特性下製造系統之系統可靠度評估 System Reliability of Manufacturing System with Multiple Reworking Actions |
指導教授: |
林義貴
Yi-Kuei Lin |
口試委員: |
葉瑞徽
Ruey-Huei Yeh 歐陽超 Chao Ou-Yang 盧淵源 Iuan-yuan Lu 劉復華 Fuh-Hwa Franklin Liu 陳建良 James C. Chen 鄭元杰 Yuan-Jye Tseng |
學位類別: |
博士 Doctor |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2012 |
畢業學年度: | 101 |
語文別: | 英文 |
論文頁數: | 98 |
中文關鍵詞: | 隨機流量製造網路 、系統可靠度 、多次重工 、圖形化轉換與分解 、平行生產線 、交錯生產線 |
外文關鍵詞: | Stochastic-flow manufacturing network, System reliability; Multiple reworking actions, Graphical decomposition and transformation, Parallel production lines, Joint production lines |
相關次數: | 點閱:314 下載:0 |
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在現實世界的製造系統中,各條傳輸邊 (機台或工作站) 會因為失效、部分失效以及維修保養等各種因素而呈現隨機狀態;由這些隨機狀態之傳輸邊所組成之製造系統,其產能亦呈現隨機狀態。因此,製造系統可被視為隨機流量製造網路 (stochastic-flow manufacturing network)。從生產管理以及決策之觀點,系統可靠度 (system reliability) 可作為評估一個製造系統之重要績效指標;其中系統可靠度的定義為需求達成之機率。本論文考量製造系統實際會發生的多次重工特性,針對以下三個實務議題進行探討:(1) 單一生產線之系統可靠度;(2) 平行生產線之系統可靠度;(3) 交錯生產線之系統可靠度。基於上述三個議題,分別以圖形化轉換法將製造系統建立為隨機流量製造網路;以此轉換後之隨機流量製造網路為依據,將網路拆解為數條路徑 (path) 以利後續流量分析。以拆解後的路徑為基礎,本論文提出演算法計算在特定需求量下,各條傳輸邊所需提供的最小產能向量。系統可靠度即可經由這些最小產能向量計算求解。在決策議題方面,則進一步探討生產管理者如何透過本論文所提出之方法決定可靠的生產策略。最後,本論文透過智慧型晶片卡、印刷電路板以及製鞋等三個實務的製造系統,演示在不同隨機流量製造網路中,系統可靠度之評估以及生產策略決策之程序。
In a real-world manufacturing system, each edge (machine or workstation) exhibits stochastic capacity levels due to failure, partial failure, and maintenance. Hence, a manufacturing system characterized by such edges also possesses stochastic capacity levels, which can be represented as a stochastic-flow manufacturing network (SMN). From the perspectives of production management and decision making, system reliability is an essential performance indicator, in which the system reliability is defined as the probability of demand satisfaction. Taking multiple reworking actions into account, three types of SMN are addressed to evaluate the system reliability in this dissertation: (i) system reliability evaluation for an SMN with a single production line, (ii) system reliability evaluation for an SMN with parallel production lines, and (iii) system reliability evaluation for an SMN with joint production lines. For each type of SMN, we construct the manufacturing system as a network-structured SMN through a graphical transformation, and decompose the transformed SMN into several paths for further flow analysis. Subsequently, algorithms are designed to generate all minimal capacity vectors that edges would need to provide to satisfy the specified demand. The system reliability can be derived in terms of such vectors accordingly. A decision making issue is further addressed for production managers to determine a reliable production policy. Three practical manufacturing systems, integrated circuit (IC) card, printed circuit board (PCB), and footwear manufacturing systems, are utilized to demonstrate the procedure of system reliability evaluation and decision making for each type of SMN.
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