類似Kiva系統之訂單分配於揀貨工作站與訂單選取探討

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姓名

楊卓翰(Cho-Han Yang) 查詢紙本館藏

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工業管理研究所

論文名稱

類似Kiva系統之訂單分配於揀貨工作站與訂單選取探討

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摘要(中)

近年來電子商務與供應鏈整合崛起，全球的商業模式有顯著的改變。現今的商業模式為了滿足消費者「少量、多樣、多頻率」的消費習慣，發展出現代化的物流作業。在工業4.0和物聯網的趨勢下，自動化與智慧化的物流中心能更加滿足顧客高頻率且大量的訂單。
亞馬遜的第八代物流中心，是結合各種自動化設備而成的現代化物流中心。其核心技術，Kiva系統，是現代化物流中心最有效率的揀貨策略之一。利用中央電腦對系統中的Kiva機器人下達指令，搬運貨架（pod）至揀貨工作站的揀貨員面前執行揀貨作業，以此模式節省揀貨員的旅行時間來達成提升揀貨效率之目的。
本研究針對Kiva系統中的兩個決策問題做探討，分別是訂單選取問題和揀貨工作站挑選問題，並針對兩個研究問題分別提出數個研究法則。利用仿真模擬軟體Arena建構類似Amazon物流中心的環境，從兩個研究問題的數個法則中找出績效最高的因子組合，提升揀貨中心作業效率。

摘要(英)

In recent years, E-commerce and Supply chain integration emerge, and the global business model has changed significantly. In order to satisfy customer’s consumption habits, such as small amount, high diversity and high frequency, the modern logistics operations are developed. In industry 4.0 and IoT trend, automated and intelligent logistics center can satisfy customer’s high frequency and large amount of orders more.
Amazon′s eighth-generation logistics center, is a modern logistics center combined with various automation equipment. Kiva system, the core technology, is one of the best solution of picking operation. The computer will command kiva robots to carry pod to workstation and execute picking operation. This new method saves traveling time of picker and improve picking efficiency.
In this study, I focus on two research problems, workstation selection of order assignment and order selection, and also propose few methods of this two problems. Furthermore, I used simulation software called Arena to build the simulation environment like logistics center of amazon and try to find the best method to solve these two research problems.

關鍵字(中)

★ Kiva系統
★ Kiva機器人
★ 貨架
★ 訂單選取問題
★ 揀貨工作站挑選問題
★ 工業4.0
★ 物聯網

關鍵字(英)

★ kiva system
★ Kiva robot
★ pod
★ order selection problem
★ workstation selection of order assignment problem

論文目次

摘要 i
Abstract ii
目錄 iii
圖目錄 vi
表目錄 viii
第1章緒論 1
1.1 研究背景 1
1.2 亞馬遜第八代物流中心 1
1.3 研究動機 2
1.4 研究目的 3
1.5 研究環境 3
1.6 論文架構 5
第2章文獻探討 6
2.1 物流 7
2.1.1 物流的定義 7
2.1.2 物流的重要性與功能 8
2.1.3 物流中心的類型 10
2.2 Kiva系統 12
2.2.1 Kiva系統的介紹 12
2.2.2 Kiva系統之關鍵特色 16
2.2.3 Kiva系統之資源分配問題 17
2.3 訂單揀取 19
2.3.1 傳統的訂單揀取模式 19
2.3.2 訂單批次化 20
2.3.3 訂單揀貨路徑 21
2.3.4 現代化揀貨作業 23
2.3.5 倉庫管理與設計 24
第3章研究方法 27
3.1 各研究議題之方法整理 27
3.2 符號及變數定義 28
3.3 Kiva系統作業流程 28
3.3.1 訂單到達作業流程 28
3.3.2 訂單分配給揀貨工作站作業流程 29
3.4 Kiva系統作業法則 34
3.4.1 訂單分配之揀貨工作站挑選法則 34
3.4.2 訂單分配之空儲存格挑選法則 39
3.4.3 訂單選取法則 46
第4章實驗與分析 54
4.1 前言 54
4.2 模擬實驗 54
4.2.1 環境設定 54
4.2.2 訂單設定 57
4.2.3 環境假設 57
4.2.4 實驗因子組合 58
4.3 績效評估準則 62
4.4 統計分析 62
4.4.1 第一類依『總系統執行時間（TST）』為績效評估值 64
4.4.2 第一類依『訂單流程時間（OFT）』為績效評估值 71
4.4.3 第一類依『差異時間（LT）』為績效評估值 78
4.4.4 第一類依『延遲時間（TT）』為績效評估值 85
4.4.5 第二類依『總系統執行時間（TST）』為績效評估值 92
4.4.6 第二類依『訂單流程時間（OFT）』為績效評估值 98
4.4.7 第二類依『差異時間（LT）』為績效評估值 104
4.4.8 第二類依『延遲時間（TT）』為績效評估值 110
4.5 實驗結論 116
第5章結論與後續建議 118
5.1 研究結論 118
5.2 未來研究建議 119
參考文獻 120
英文文獻 120
中文文獻 125

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審核日期

2017-7-26

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