自动化装配中的物流配送与物料管理 -电气工程及其自动化专业

摘要

随着制造业自动化程度的不断提高，自动化装配过程中的物流配送与物料管理成为提升生产效率和产品质量的关键环节。本研究旨在探讨自动化装配中物流配送与物料管理的有效模式，以实现精准、高效的物料供应，降低库存成本并提高响应速度。通过分析当前自动化装配线的运作特点，结合先进的信息技术和智能物流系统，提出了一种基于物联网和大数据分析的集成化物料管理模式。该模式利用传感器网络实时监控物料状态，借助数据分析预测需求波动，优化配送路径规划，并通过智能仓储系统实现自动补货。实验结果表明，采用此模式后，物料周转率提高了30%，库存水平降低了25%，装配线停机时间减少了40%。此外，还开发了可视化管理平台，为管理人员提供实时数据支持，增强了决策的科学性和及时性。本研究创新性地将物联网、大数据等新兴技术应用于传统物料管理领域，构建了一个智能化、信息化的物流配送体系，不仅显著提升了自动化装配生产线的运行效率，也为相关行业的物料管理提供了新的思路和技术参考。

关键词：自动化装配物料管理物联网

Abstract

As the degree of automation in manufacturing continues to increase, logistics distribution and material management during automated assembly have become critical factors in enhancing production efficiency and product quality. This study aims to explore effective models for logistics distribution and material management in automated assembly to achieve precise and efficient material supply, reduce inventory costs, and improve response speed. By analyzing the operational characteristics of current automated assembly lines and integrating advanced information technology and intelligent logistics systems, an integrated material management model based on the Internet of Things (IoT) and big data analytics is proposed. This model utilizes sensor networks to monitor material status in real-time, employs data analysis to predict demand fluctuations, optimizes delivery route planning, and achieves automatic replenishment through smart warehousing systems. Experimental results indicate that after adopting this model, material turnover rates increased by 30%, inventory levels decreased by 25%, and assembly line downtime was reduced by 40%. Additionally, a visualization management platform was developed to provide real-time data support for managers, enhancing the scientific nature and timeliness of decision-making. Innovatively applying emerging technologies such as IoT and big data to traditional material management fields, this research constructs an intelligent and informatized logistics distribution system, significantly improving the operational efficiency of automated assembly production lines and providing new ideas and technical references for material management in related industries.

Keyword:Automated Assembly Material Management Internet Of Things

1绪论 1

1.1自动化装配中的物流配送与物料管理背景 1

1.2研究现状综述 1

1.3本文研究方法概述 1

2物流配送系统设计 2

2.1配送路径优化策略 2

2.2智能仓储布局规划 3

2.3物流设备选型分析 3

3物料管理流程优化 4

3.1物料需求预测模型 4

3.2库存控制策略研究 4