系統識別號 U0026-0405201017264500
論文名稱(中文) 結合多準則決策方法和模擬最佳化求解精實生產系統設計問題
論文名稱(英文) A combined multiple criteria decision-making method and simulation optimization for Lean production system design problem
校院名稱 成功大學
系所名稱(中) 製造資訊與系統研究所
系所名稱(英) Institute of Manufacturing Information and Systems
學年度 98
學期 2
出版年 99
研究生(中文) 盧俊臣
研究生(英文) Jiunn-Chenn Lu
學號 p9894108
學位類別 博士
語文別 中文
論文頁數 76頁
口試委員 指導教授-楊大和
中文關鍵字 田口方法  拉式策略  理想解類似度順序偏好法  精實生產 
英文關鍵字 CONWIP  Lean  Multiple criteria decision-making  Pacemaker 
中文摘要 精實哲學是一種透過系統化的方法,辨認浪費的存在並且以持續改善的方式消除浪費,藉以達到以客戶需求為目的拉式控制機制。然而,由於缺乏清楚的導入步驟與程序,因此,並不是所有導入精實的公司都能夠得到預期的結果。因此,本研究提出一種以 supermarket結合兩段CONWIP的架構,並提出精實導入步驟,以使精實系統達到拉式的設計,並且能夠滿足較高的服務水準與較低的庫存成本兩項績效指標。本研究的環境存在著與實務接近的複雜變異:包括多產品、換模時間、機台當機、良率損失與批量作業站點等隨機變異因素,以此導入精實系統以使得此以系統能夠達到連續流動。此一問題以TOPSIS結合田口實驗為基礎的多準則方法(MCDM),並且結合模擬與價值流圖(VSM)以便視覺化改善績效。本研究以需求不確定的情境當雜訊因子,同時探討兩主題,第一個主題是透過精實導入策略的步驟,由許多的設計情境去選擇最佳化的基準節拍工程位置與因子,以達到建構連續流的目的,第二個主題是由許多的設計情境去選擇最穩健的控制因子,以達到最佳的績效。本研究以一個實際的 TFT-LCD為案例去驗證結果。經過現狀圖與未來圖的比較,在導入本研究所提出的精實策略下,其模擬結果顯示,在幾乎不犧牲服務水準的狀況下,平均cycle time由26.9天降到9.6天的水準,同時庫存水準可以降低約61%的水準。
英文摘要 Lean philosophy is a systematic approach for identifying and eliminating waste through continuous improvement in pursuit of perfection, using a pull control strategy derived from customers’ requirements. However, not all lean implementations have produced such desired results due to not having a clear implementation procedure and execution guide. This research proposes a lean pull system implementation procedure based on combining a supermarket supply with two constant work-in-process (CONWIP) structures, then proposed an implemetaion strategy. An aim is to implement lean continuous flow that can satisfy both a high service-level and low inventory cost. Simultaneously, we consider sophisticated variability, such as multi-products, random setup, random break-down, yield loss, and batch processes, and other contingencies. The problem can be solved by a multiple criteria decision-making (MCDM) method, using a hybrid Taguchi technique for order preference based on similarity to ideal solution (TOPSIS) method and value stream mapping (VSM) was applied to visualize what conditions would work when improvements are introduced. My research includes two parts of topic. The first objective implement of a lean, continuous flow, by determining an appropriate pacemaker location. The second objective takes customer demand uncertainty as a noise factor. This allowed identification of the most robust production control to identify an optimal scenario from alternative designs. To evidence the performance of this methodology, a real-world, thin film transistor-liquid crystal display (TFT-LCD) manufacturing case-study with complex variability factors are used to demonstrate and test findings. After comparing the current-state map and future-state map of the case-study, simulation results indicate that the average cycle time reduced from 26.9 days to 9.6 days concurrently inventory cost was reduced around 61% after implementing a lean-pull production strategy.
論文目次 目錄
1. 緒論1
1.1 研究背景與動機1
1.2 研究目的4
1.3 研究流程5
1.4 論文架構6
2. 文獻探討7
2.1 精實系統7
2.2 價值流圖15
2.3 離散事件模擬16
2.4 多準則決策方法17
3. 研究方法19
3.1 價值流圖19
3.2 現況分析與導入精實拉式策略23
3.3 建立現況與未來模擬模式 27
3.4 多準則決策方法:最佳化因子組合30
3.5 未來圖與改善策略擬定39
4. 案例說明40
5. 實例分析44
5.1 價值流圖44
5.2 觀察系統導入精實拉式策略46
5.3 田口方法結合理想解類似度順序偏好法50
6. 結論與建議65
附錄A 機台相關資訊73
附錄B 實驗參數設定76
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