本文關鍵詞： 智能倉儲 效率優(yōu)化 貨位分配 環(huán)形穿梭車 調度系統(tǒng)　出處：《南京理工大學》2017年碩士論文　論文類型：學位論文

【摘要】：當前傳統(tǒng)工業(yè)已然飽和,物流業(yè)作為工商業(yè)中重要的一部分,慢慢從自動化向智能化發(fā)展,成為企業(yè)新的利潤增長點。在物流領域,人工智能技術、移動互聯(lián)網技術、物聯(lián)網技術的應用使得人們可以通過工業(yè)軟件更高效的管理整個倉庫,以達到效率最高、成本最低、利潤最大的目標。本文針對分類存儲模式的倉庫旨在分析其貨物存取流程,深入研究倉庫運行過程中的幾個關鍵性問題,優(yōu)化立體倉儲系統(tǒng)運行效率,并開發(fā)倉庫調度管理系統(tǒng)。論文主要包括以下幾個方面的內容:(1)貨物歸類。貨物分類存儲首先需要對貨物進行分類處理。本文以貨物質量、易碎程度、存/取頻率這三個關鍵屬性作為分類指標對貨物進行分類,為貨物分類存儲提供參考依據。(2)貨架動態(tài)分區(qū)。本文以各分區(qū)貨位容差和最小為目標將一個整體的貨架邏輯上劃分為幾個不同的區(qū)域,解決了貨物隨機存儲導致存儲混亂的問題,達到了優(yōu)化立體倉儲系統(tǒng)運行效率的目的。(3)貨位動態(tài)分配。本文將效率、離散度、重力對貨位優(yōu)化的影響程度轉化為權重,并在此基礎上建立以提高周轉效率為最終目標的貨位優(yōu)化模型,提出了基于自適應免疫遺傳算法的貨位優(yōu)化決策方法。(4)環(huán)形軌道穿梭車調度研究。本文針對環(huán)形軌道穿梭車調度問題提出了一種基于規(guī)則的遺傳算法,達到了優(yōu)化調度結果、提高運算效率的目的。(5)立體倉庫智能調度系統(tǒng)設計。在分析系統(tǒng)應用需求的基礎上使用VS2010與Qt開發(fā)調度管理系統(tǒng)。
[Abstract]:At present, the traditional industry has been saturated, logistics industry as an important part of industry and commerce, slowly from automation to intelligent development, become a new profit growth point of enterprises. In the field of logistics, artificial intelligence technology. The application of mobile Internet technology and Internet of things technology enables people to manage the whole warehouse more efficiently through industrial software in order to achieve the highest efficiency and the lowest cost. The purpose of this paper is to analyze the flow of goods access, to study several key issues in the warehouse operation, and to optimize the efficiency of the storage system. And develop warehouse scheduling management system. This paper mainly includes the following aspects of the content: 1) goods classification. Goods classified storage first need to classify the goods. This paper based on the quality of goods, fragile degree. The three key attributes of storage / fetch frequency are used as classification indicators to classify goods. This paper aims to divide a whole shelf into several different regions logically, aiming at the tolerance and minimization of each area. The problem of storage confusion caused by random storage of goods is solved, and the purpose of optimizing the operation efficiency of stereoscopic storage system is achieved. The influence degree of gravity on cargo location optimization is transformed into weight, and on this basis, a cargo location optimization model with the ultimate goal of improving turnover efficiency is established. This paper presents an adaptive immune genetic algorithm (AIA) based method for optimal cargo location decision. (4) Research on circular rail shuttle vehicle scheduling. In this paper, a rule-based genetic algorithm is proposed for the circular rail shuttle vehicle scheduling problem. The design of the intelligent scheduling system for the three-dimensional warehouse is achieved. The scheduling management system is developed by using VS2010 and QT on the basis of analyzing the application requirements of the system.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TH692.3

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