English  |  正體中文  |  简体中文  |  Items with full text/Total items : 74010/74010 (100%)
Visitors : 24674833      Online Users : 367
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71222

    Title: 類似Kiva系統之Kiva機器人分配於揀貨工作站作業以及Pod之暫存位置決定的相關問題探討
    Authors: 俞舒寧;Yu,Su-Ning
    Contributors: 工業管理研究所
    Keywords: 物流中心;Amazon;Kiva System;Kiva 機器人;Pod 暫存區位置;Distribution center;Amazon;Kiva System;Kiva robot;Pod storage
    Date: 2016-07-26
    Issue Date: 2016-10-13 12:13:23 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 國家經濟受到全球化的影響,造成社會需求及消費習慣的改變,消費者對於
    2012 年 3 月,Amazon 收購 Kiva System,其最重要的創新就是為客戶創
    揀貨區。此外,Kiva System 還可以根據訂單較多的物品,自行組織存貨清單,
    本研究欲探討之問題為 Kiva 機器人分配法則及Pod 暫存區位置指派法則
    行時間以及總揀貨旅行距離,以期能達到最佳的效能。;National economies affected by globalization, resulting in the changing form
    consumer habits and social needs. Consumer demand gradually transformed into “a
    small, diverse and multi-frequency” of product to satisfy retailers and consumers, in
    such case, many distribution center emerges progressively.
    In the era of various and small amount products demand, rapid environmental
    changing along with high volume popularity computer equipment applications and
    E-commerce shown that companies must continue to accelerate their business
    activities, in order to catch up on times, consumers and competitors’ pace.
    March 2012, Amazon acquired Kiva Systems, it is expected that the robots
    would significantly improve Amazon’s packing and shipping efficiency. Besides, Kiva
    robots were tasked with picking up shelves in Amazon′s giant warehouses and
    delivering them to warehouse employees at various stations. Therefore, reducing
    operation time and costs to enhance systems performance will appreciate company
    In this paper, we give a critical survey of existing works and discuss open
    problems in this field. Through investigating Kiva dispatching rules and Pod storage
    position dispatching rules in contrasting replenishment ratio, simulation experiments
    are conducted to evaluate two performance measures ─ Total System Time(TST),
    and Total Travel Distance of Kiva(TTD)to achieve the best efficiency.
    Appears in Collections:[工業管理研究所 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明