贸易企业自动化物流系统

Svitlаnа Rzаiеvа, Dmуtrо Rzаiеv, V. Kraskevich, A. Roskladka, V. Gamaliy
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引用次数: 1

摘要

本文讨论了贸易企业面临的最紧迫的问题之一,即如何有效地进行企业管理的物流路线问题。为了优化行程,我们使用最先进的电子导航和地图系统,这些系统可以在现代计算机技术中实现,从任何计算机到移动设备都可以提供在线服务。导航和地图系统是分布式的软件综合体,其中包含存储在数据库管理系统中的一系列信息。它们涉及世界各地数百万静态对象和大量动态数据。为了优化物流流程,提出了一种自动路由系统的算法。该系统解决了自动计算构建和识别指定起点和终点之间的最优路线,跟踪给定路线上的运动,以及在道路拥挤的情况下,重新定向物流流的问题。基于认知地图在人脑中的形成和对路径描述的感知的研究和实验,提出了一种存储和显示路径数据的算法。该算法考虑了个人对地图信息的感知心理。开发一种描述贸易企业流量路由的算法,就是在预定的起点和终点之间建立一个自动找到路径的模型。这种映射信息是个性化的,易于阅读、快速记忆,并且对用户错误不敏感。该算法具有通用性,可用于解决各种物流优化问题。
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AUTOMATED LOGISTIC FLOW SYSTEM FOR TRADING ENTERPRISE
The article addresses one of the most pressing problems for a trading enterprise, namely the problem of routing logistics flows for efficient enterprise management. To optimize itineraries, we use state-of-the-art electronic navigation and mapping systems that can be implemented in modern computer technology, from online services available on any computer to mobile devices. Navigation and mapping systems are distributed software complexes with an array of information stored in database management systems. They involve millions of static objects and huge amounts of dynamic data around the world. To optimize the logistics flows, an algorithm for an automated routing system is described. This system solves the problems of automatic calculation of the construction and recognition of the optimal route between the specified points of its beginning and the end, tracking of movement on a given route and, in the case of congested roads, redirection of logistics flows. Based on the researches and experiments on the formation of a cognitive map in the human mind and the perception of the route description, an algorithm for storing and displaying route data is considered. This algorithm takes into account the personal psychology of perception of cartographic information. Developing an algorithm for describing the routing of trading enterprise traffic flows is creating a model of automatically found path between the predetermined points of its beginning and end. This mapping information is personalized, easy to read, fast to remember, and insensitive to user errors. The proposed algorithm is universal and can be used to solve a wide range of problems of logistic flows optimization.
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