物流工程-考虑垃圾回收J电商粮油仓设施布置优化设计论文

1、本文格式为word版，下载可任意编辑物流工程-考虑垃圾回收j电商粮油仓设施布置优化设计论文 abstract in recent years, the internet economy has developed rapidly. under this general environment, although the market has become more dynamic, it has also caused internet companies to face more severe pressures and challenges. with the rapid developm

2、ent of china"s economy, enterprises are paying more and more attention to the role of logistics in the operation of enterprises. chinese enterprises need to gradually adjust their development strategies from the perspective of the supply chain, and optimize each logistics link according to thei

3、r own logistics. in the logistics link, warehousing is one of the seven major links in logistics. it plays a vital role in reducing the logistics costs of enterprises and improving customer satisfaction. although automated warehouses are the future development trend, at present, there is still a lon

4、g way to go in china"s national conditions. most of our country still uses traditional warehouse for logistics operations for these enterprises, good layout of storage facilities is the key to improve efficiency and reduce costs. based on the above, the research contents of this design are as f

5、ollows. first of all, the background and current situation of this deign research topic are described, and the research content is clarified.briefly summarize the relevant theories and methods used in this design. according to the field survey, the layout of each operation unit of j e-commerce grain

6、 and oil warehouse, constraints affecting warehouse planning, planning period and planning objectives are integrated, analyzed and summarized. it is found that these problems exist in j e-commerce grain and oil warehouse: unreasonable design of waste recycling system, optimization and improvement of

7、 the overall layout of the warehouse, low work efficiency and transportation cost there are a series of problems, such as the confusion of high and on-site management. secondly, according to the problems existing in the facility layout of the j e-commerce grain and oil warehouse, the traditional sys

8、tem facility layout (slp) method is used to improve and optimize it. according to the slp method, the logistics volume and non logistics volume of each operation unit of grain and oil warehouse are analyzed, in which the garbage recycling volume should be specially considered, and the logistics volu

9、me of garbage generated by each operation unit should be obtained as one of the important considerations of warehouse layout. after the analysis, the comprehensive relationship among the operation units in the warehouse is obtained, and then the location correlation map is drawn. according to the ac

10、tual situation of the warehouse, draw the general layout of the warehouse. the two optimized design schemes are preliminarily selected, and the optimized scheme is obtained by using expert scoring and fuzzy comprehensive evaluation. finally, the optimization scheme is re-optimized by genetic algorit

11、hm (ga), the model is established by setting the constraint amount, and the final scheme is provided to provide a reference design scheme for j e-commerce.the feasibility and effectiveness of this design and research are verified by a practical scheme. key words:slp；facility layout optimization；garb

12、age collection system；genetic algorith 目 录 第 1 章 绪论 . 1 1.1 讨论背景 . 1 1.2 讨论意义 . 1 1.3 讨论现状 . 2 1.4 主要内容及讨论方法 . 3 1.4.1 主要内容 . 3 1.4.2 讨论方法 . 4 第 2 章 相关理论与方法概述 . 5 2.1 slp 方法基础理论 . 5 2.1.1 slp 方法概述 . 5 2.1.2 slp 的操作步骤 . 5 2.4 遗传算法介绍 . 7 2.4.1 遗传算法的概述 . 7 2.4.2 遗传算法特点 . 9 2.4.3 遗传算法相关参数 . 9 第 3 章 j 电商

13、粮油仓概况调查与分析 . 11 3.1 j 电商概述 . 11 3.1.1 j 电商背景介绍 . 11 3.1.2 j 电商物流中心主要功能 . 12 3.2 j 电商粮油仓基本概况 . 13 3.2.1 仓内设施布局现状介绍 . 13 3.2.2 仓内作业流程 . 14 3.3 j 电商粮油仓的货物拣选流程 . 15 3.4 j 电商粮油仓问题分析 . 16 第 4 章 基于 slp 的 j 电商粮油仓平面设施布置优化 . 18 4.1 j 电商粮油仓作业单位划分 . 18 4.2 各作业单位间的物流量 . 18 4.3 仓内作业单位的相互关系分析 . 20 4.3.1 仓内作业单位的物流关系分析 . 20 4.3.2 j 电商粮油仓内作业单位的非物流关系分析 . 26 4.4 整体的 j 电商粮油仓综合相互关系分析 . 30 4.5 作业单位位置相关图 . 36 4.6 各作业单位面积相关图 . 37 4.7 总平面布置图 . 39 4.8 初步设计评价与选择 . 40 第 5 章 基于遗传算法的布局进一步优化设计 . 44 5.