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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94121
Title: 貨物重量對自動化倉儲系統能耗影響的實證分析
Empirical Analysis of the Impact of Cargo Weight on Energy Consumption in Automated Warehousing Systems
Authors: 陳佑任
Yu-Jen Chen
Advisor: 吳政鴻
Cheng-Hung Wu
Keyword: 自動倉儲,能耗,貨物重量,自動化,
Automated Warehousing Systems,Energy Consumption,Cargo Weight,Automation,
Publication Year : 2024
Degree: 碩士
Abstract: 隨著自動化倉儲系統在全世界逐步廣泛應用,優化使用能源效率成為提升操作效率和降低成本的關鍵。本研究旨在通過現況收集與實證分析探討貨物重量對自動化倉儲系統能耗的具體影響。本文利用裝設於自動化倉儲設施中的重量感測器和智慧電表所收集的數據,詳細分析了不同貨物重量條件下的能耗變化。
研究採用描述性統計、相關性分析以及迴歸分析等方法深入分析了收集到的數據。結果顯示,貨物重量與自動化倉儲操作過程中的能耗呈正相關關係,尤其是重型貨物在存儲和檢索過程中的能耗顯著高於輕型貨物。
基於研究結果,發現包括調整重型貨物的存儲位置以降低能耗、採用先進的能源管理系統來監控和控制能耗,以及設計更加高效的貨物搬運路徑。這些策略有助於倉庫管理者和系統設計工程師提供參考生成解決方案,以優化能源使用,降低操作成本,同時提升系統整體性能。
As Automated Storage and Retrieval System(AS/RS) are increasingly deployed worldwide, optimizing energy efficiency has become crucial for enhancing operational efficiency and reducing costs. This study aims to examine the specific impact of cargo weight on the energy consumption of automated warehousing systems through current data collection and empirical analysis. This paper utilizes data gathered from load cell and smart meters installed in automated warehousing facilities to thoroughly analyze the variations in energy consumption under different cargo weight conditions.
The study employs descriptive statistics, correlation analysis, and regression analysis to deeply analyze the collected data. The results show a positive correlation between cargo weight and energy consumption during automated warehousing operations, particularly noting that the energy consumption for storing and retrieving heavy items is significantly higher than that for lighter items.
Based on the findings, strategies including adjusting the storage locations of heavy items to reduce energy consumption, implementing advanced energy management systems to monitor and control energy use, and designing more efficient cargo handling paths were identified. These strategies can provide warehouse managers and system design engineers with reference solutions to optimize energy use, reduce operational costs, and enhance overall system performance.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94121
DOI: 10.6342/NTU202402800
Fulltext Rights: 同意授權(全球公開)
metadata.dc.date.embargo-lift: 2029-07-30
Appears in Collections:工業工程學研究所

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