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研究生: 李宏傑
Hung-chieh Li
論文名稱: 具有批次整備時間之兩階段組裝排程問題
A Two-Stage Assembly Scheduling Problem with Batch Setup Time
指導教授: 廖慶榮
Ching-Jong Liao
口試委員: 郭人介
Ren-Jieh Kuo
鄭元杰
none
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 30
中文關鍵詞: 排程兩階段組裝設置時間共同元件
外文關鍵詞: Scheduling, Two-stage assembly, Setup time, Common components
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本論文考量兩階段組裝排程且包含設置時間之問題,目標為最大完工時間最小化。在第一階段,製造機器生產各種元件;而當元件的數量滿足組裝需求時,第二階段的組裝機器把元件組裝成產品。我們將問題建構為一個數學模型且找到了一些最佳解性質。接著,我們利用這些最佳解性質的概念,提出一個啟發法求解此問題,並以下限值評估啟發法之績效。實驗結果證明,此啟發法可在極短的時間內得到近似最佳解,其平均誤差為0.478%。


This thesis considers a two-stage assembly scheduling of products problem with setup time to minimize the makespan. In this problem, there is a machining machine in the first stage which produces components. When the required components are available, a single assembly machine in the second stage assembles these components into products. We formulate the problem as a mixed integer programming model and find several properties for the optimal solutions. Moreover, an efficient heuristic based on these optimal properties is proposed. A lower bound is also derived for evaluating the performance of the proposed heuristic. Computational results show that the heuristic can obtain a near optimal solution in almost zero time and the average percentage deviation is only 0.478.

CHINESE ABSTRACT i ENGLISH ABSTRACT ii ACKNOWLEDGEMENTS iii LIST OF FIGURES v LIST OF TABLES vi Chapter 1. INTRODUCTION 1 1.1. Research background and objectives 1 1.2. Problem description and formulation 2 1.3. Research process and thesis organization 4 Chapter 2. LITERATURE REVIEW 7 2.1. Two-stage assembly scheduling problem without setup 7 2.2. Two-stage assembly scheduling problem with setup 8 Chapter 3. PROPOSED HEURISTIC 10 3.1. Mixed integer programming model 10 3.2. Properties 12 3.3. Proposed heuristic 15 3.4. An illustrated example 16 Chapter 4. COMPUTATIONAL RESULTS 18 4.1. Development of a lower bound 18 4.2. Generation of test problems 19 4.3. Performance of the proposed heuristic and theorems 19 Chapter 5. CONCLUSIONS AND FUTURE RESEARCH 25 5.1. Conclusions 25 5.2. Future research 26 REFERENCES 27

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