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

【摘要】：當(dāng)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(lǐng)域,人工智能技術(shù)、移動互聯(lián)網(wǎng)技術(shù)、物聯(lián)網(wǎng)技術(shù)的應(yīng)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(dá)到效率最高、成本最低、利潤最大的目標(biāo)。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(guān)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(diào)度管理系統(tǒng)。論文主要包括以下幾個方面的內(nèi)容:(1)貨物歸類。貨物分類存儲首先需要對貨物進(jìn)行分類處理。本文以貨物質(zhì)量、易碎程度、存/取頻率這三個關(guān)鍵屬性作為分類指標(biāo)對貨物進(jìn)行分類,為貨物分類存儲提供參考依據(jù)。(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(biāo)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(jī)存儲導(dǎo)致存儲混亂的問題,達(dá)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(zhuǎn)化為權(quán)重,并在此基礎(chǔ)上建立以提高周轉(zhuǎn)效率為最終目標(biāo)的貨位優(yōu)化模型,提出了基于自適應(yīng)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(diào)度研究。本文針對環(huán)形軌道穿梭車調(diào)度問題提出了一種基于規(guī)則的遺傳算法,達(dá)到了優(yōu)化調(diào)度結(jié)果、提高運算效率的目的。(5)立體倉庫智能調(diào)度系統(tǒng)設(shè)計。在分析系統(tǒng)應(yīng)用需求的基礎(chǔ)上使用VS2010與Qt開發(fā)調(diào)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(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TH692.3

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