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研究生： Nafisha Herma Hanifha
Nafisha Herma Hanifha
論文名稱： 智動化揀貨系統倉庫中不同產品組合下存 貨單位之貨架指派策略
Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse
指導教授： 周碩彥
Shuo-Yan Chou
口試委員: 周碩彥
Shuo-Yan Chou
郭伯勳
Po-Hsun Kuo
王孔政
Kung-jeng Wang
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： 2023
畢業學年度： 111
語文別： 英文
論文頁數： 53
中文關鍵詞： RMFS 、SKU to Pod Assignment Policy 、Pile-on 、ABC Classification 、Association Rule
外文關鍵詞： RMFS, SKU to Pod Assignment Policy, Pile-on, ABC Classification, Association Rule
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    • ABSTRACT
    With the vast positive trend of e-commerce sales, the efficiency of warehouse
    operations needs to keep pace. Therefore, a part-to-picker warehouse named Robotic
    Mobile Fulfillment System Warehouse (RMFS) was explicitly designed e-commerce
    warehouse. This warehouse system can reduce the number of human operators and use
    robots, or in RMFS, called Automated Guided Vehicles (AGV), to carry the pods.
    There are several ways to increase the efficiency of the warehouse. This research will
    focus on the decision problem, SKU to the Pod, or product assignment policy.
    This research has three scenarios: SKU to Pod using Random—baseline, Mixed
    Class, and Mixed Class Affinity policy. ABC classification and association rule using
    Weighted Support Count is applied to design the second and third scenarios. Then,
    using a simulation approach, those three scenarios are compared to find the best policy
    to increase warehouse efficiency. It is indicated by looking at each policy's number of
    pods transported. The smaller the number of pods, the higher pile-on the SKU to pod
    policy achieves.
    As a result, the last scenario yields the best pile-on with an average number of
    pods transported of 6.59 pods per order. Meanwhile, the first and second scenarios'
    results are 7.06 and 6.90, respectively. From that numbers, it can be concluded that the
    pile-on of the last scenario is 7% and 5% higher than the other two scenarios, even
    though only 8% of SKUs form the association's rule. This result is verified by using
    one-way ANOVA.
    Keywords: RMFS, SKU to Pod Assignment Policy, Pile-On, ABC Classification,
    Association Rule

    ABSTRACT
    With the vast positive trend of e-commerce sales, the efficiency of warehouse
    operations needs to keep pace. Therefore, a part-to-picker warehouse named Robotic
    Mobile Fulfillment System Warehouse (RMFS) was explicitly designed e-commerce
    warehouse. This warehouse system can reduce the number of human operators and use
    robots, or in RMFS, called Automated Guided Vehicles (AGV), to carry the pods.
    There are several ways to increase the efficiency of the warehouse. This research will
    focus on the decision problem, SKU to the Pod, or product assignment policy.
    This research has three scenarios: SKU to Pod using Random—baseline, Mixed
    Class, and Mixed Class Affinity policy. ABC classification and association rule using
    Weighted Support Count is applied to design the second and third scenarios. Then,
    using a simulation approach, those three scenarios are compared to find the best policy
    to increase warehouse efficiency. It is indicated by looking at each policy's number of
    pods transported. The smaller the number of pods, the higher pile-on the SKU to pod
    policy achieves.
    As a result, the last scenario yields the best pile-on with an average number of
    pods transported of 6.59 pods per order. Meanwhile, the first and second scenarios'
    results are 7.06 and 6.90, respectively. From that numbers, it can be concluded that the
    pile-on of the last scenario is 7% and 5% higher than the other two scenarios, even
    though only 8% of SKUs form the association's rule. This result is verified by using
    one-way ANOVA.
    Keywords: RMFS, SKU to Pod Assignment Policy, Pile-On, ABC Classification,
    Association Rule

    TABLE OF CONTENTS Recommendation Form ........................................................................................................... i Qualification Form .................................................................................................................. ii ABSTRACT .............................................................................................................................iii ACKNOWLEDGMENT ........................................................................................................ iv TABLE OF CONTENTS ....................................................................................................... v LIST OF FIGURES ............................................................................................................... vii LIST OF TABLES ................................................................................................................ viii CHAPTER 1 INTRODUCTION ........................................................................................... 1 1.1 Background and Motivation .................................................................................. 1 1.2 Objective .................................................................................................................. 3 1.3 Scope and Limitation .............................................................................................. 4 1.4 Organization of Thesis ............................................................................................ 4 CHAPTER 2 LITERATURE REVIEW ............................................................................... 6 2.1 Robotic Mobile Fulfillment System (RMFS) .............................................................. 6 2.2 SKU to Pod Assignment ............................................................................................... 7 2.3 ABC Classification ........................................................................................................ 8 2.4 Association Rule ............................................................................................................ 9 CHAPTER 3 METHODOLOGY ........................................................................................ 10 3.1 Data Gathering ............................................................................................................ 10 3.2 Inventory Analysis ...................................................................................................... 12 3.2.1 SKU Classification ............................................................................................... 12 3.2.2 Number of Slots Calculation ............................................................................... 13 3.3 SKU-to-Pod Assignment Scenarios .......................................................................... 13 3.3.1 Random Assignment Scenario ............................................................................ 13 3.3.2 Mixed-Class Assignment Scenario ..................................................................... 14 3.3.3 Mixed-Class-Affinity Assignment Scenario ....................................................... 14 vi 3.4 Simulation .................................................................................................................... 16 3.4.1 Simulation Layout ................................................................................................ 16 3.4.2 Simulation Parameter .......................................................................................... 17 3.4.3 Simulation Flowchart .......................................................................................... 19 3.5 Statistical Test ............................................................................................................. 23 3.5.1 Replication Adequacy Test ...................................................................................... 23 CHAPTER 4 RESULT AND DISCUSSION ..................................................................... 25 4.1 Data Gathering ............................................................................................................ 25 4.2 Inventory Analysis ...................................................................................................... 26 4.3 SKU to Pod Assignment Scenarios ............................................................................ 28 4.3.1 Random Assignment Scenario ................................................................................ 29 4.3.2 Mixed-Class Assignment Scenario ......................................................................... 29 4.3.3 Mixed-Class Affinity Assignment Scenario ........................................................... 31 4.4 Simulation .................................................................................................................... 31 4.4.1 Random Assignment Scenario Simulation Result ............................................. 32 4.4.2 Mixed Class Assignment Scenario Simulation Result ...................................... 32 4.4.3 Mixed Class Affinity Assignment Scenario Simulation Result ........................ 33 4.4.4 Simulation Result Analysis .................................................................................. 33 4.5 Statistical Test ............................................................................................................. 35 4.5.1 Replication Adequacy Test ...................................................................................... 35 4.5.2 ANOVA ..................................................................................................................... 35 CHAPTER 5 CONCLUSION ............................................................................................. 37 5.1 Conclusion ................................................................................................................... 37 5.2 Recommendation and Future Research .................................................................... 37 REFERENCES ...................................................................................................................... 39

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