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研究生： 許文馨
Wen-hsin Hsu
論文名稱： 自動化旋轉式料架之效能評估
Performance Evaluation of Automatic Storage Carousel Systems
指導教授： 郭伯勳
Po-Hsun Kuo
口試委員: 林希偉
Shi-Woei Lin
楊朝龍
Chao-Lung Yang
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： 2014
畢業學年度： 102
語文別： 英文
論文頁數： 105
中文關鍵詞： 旋轉式料架 、揀貨 、分析模型 、模擬模型 、自動化設備
外文關鍵詞： Carousel, Order picking, Analytical models, Simulation, Automatic technology
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  •  上一筆

    • 訂單揀貨是一種想要改善客戶服務，減少搬運時間，以及降低配送成本的物料搬運過程。自動化旋轉式料架是存取料架的其中一種類別，其可以提高速度和準確度，及提供大量的揀貨。本身料架會自行轉動，同時存取機垂直移動到要求的位置完成揀(存)貨。當交易完成後，只有存取機回到I / O點。為了評估自動化系統的性能，在可能的貨架大小、分區的大小的參數設計於隨機儲位模式和分區儲位模式為基礎的情況下，本文提供的分析模型可以用來估計完成一筆或兩筆交易的期望旅行時間。根據不同的參數設計，模擬實驗所得之數據用以驗證分析模式的期望旅行時間。因此，當有數個自動化設備都是有資格成為現場運轉設備時，總成本即為系統購建成本加運轉操作成本，而分析模式則可用來做為計算運轉操作成本，是以總成本最小者即為最佳選擇。

    Order picking is one of material handling processes which want to improve customer service, reduce delivery time and lower distribution costs. To improve the speed and accuracy, an automatic storage carousel system is one type of storage and retrieval equipment to serve high-volume order picking. The carousel will rotate itself and simultaneously the lift (S/R machine) will vertically move to the requested position. After transaction completion, only the lift returns to I/O point (the first level). To evaluate the automatic system performance, this thesis provides analytical models to estimate the expected time to complete one or two transactions based on possible shape factors and class boundaries under random and class-based storage. Simulation experiments present numerical data to validate the analytical travel times for movement scenarios based on different configuration designs. When several automatic material handling systems are eligible for operating equipment, the system performance with cost estimation is one way to evaluate and justify the choice between alternatives.

    ABSTRACT i 摘要 ii LIST OF CONTENTS iii LIST OF FIGURES vi LIST OF TABLES vii CHAPTER 1 INTRODUCTION 1 1.1 Research Motivation and Objectives 2 1.2 Research Scope and Limit 3 1.3 Research Methods 3 1.4 Research Process 4 CHAPTER 2 LITERATURE REVIEW 7 2.1 Warehouse Flow 7 2.2 Warehouse Design 8 2.2.1 Conventional Warehouses 9 2.2.2 AS/RS’s 11 2.2.3 Carousel Systems 12 2.3 Storage Policy 14 2.4 Travel Time Model 16 CHAPTER 3 TRAVEL TIME MODEL FOR RANDOM STORAGE 18 3.1 Movement of Carousel 18 3.2 Assumptions and Notations 20 3.3 Probability Functions 21 3.4 Expected Travel Time under Bidirectional Rotation 25 3.5 Simulation Validation 30 CHAPTER 4 TRAVEL TIME MODELS FOR CLASS-BASED STORAGE 37 4.1 Class-Based Storage in Carousels 37 4.2 Models for Square-in-Time Configuration 38 4.2.1 IATA 40 4.2.2 IATB1 42 4.2.3 IATB2 47 4.2.4 IB1TA 48 4.2.5 IB1TB1 49 4.2.6 IB1TB2 50 4.2.7 Any points to I/O point 50 4.3 Models for General Cases 53 4.3.1 IATA 54 4.3.2 IATB 55 4.3.3 TATA 57 4.3.4 TATB ( TBTA) 58 4.3.5 TBTB 64 4.3.6 Any Points to I/O Point 66 4.4 Simulation Validation 67 4.4.1 Validation for SIT 68 4.4.2 Validation for General Cases 71 4.4.3 SIT v.s General Cases 78 4.4.4 Optimal Boundary of a 80 CHAPTER 5 CONCLUSIONS AND FUTURE RESEARCH 83 5.1 Conclusions 83 5.2 Future Research 84 REFERENCES 86 APPENDIX 89 Random storage 89 Class-based storage 91 SIT configuration 91 General cases 98

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