论文标题
使用载体组合对包装交付优化的数学模拟
Mathematical simulation of package delivery optimization using a combination of carriers
论文作者
论文摘要
当代世界中的各种商品和服务需要永久改善服务电子商务平台的绩效。现代社会与邮件交付,在线购买商品和服务非常深入,这使得服务与好的提供商之间的竞争成为关键选择因素。只要逻辑,及时且具有成本效益的交付起着重要的部分作者,作者就决定分析当前领域的可能改进方法,尤其是对于远离流行分销中心的地区。同时考虑到:快速和懒惰的交付成本的因素是每个最终用户的重要作用。给定工作提出了一个模拟,该模拟分析了供应商车队,全球送货服务机队的交付,以及可能使用替代方法的供应商托运服务的当前交付成本,可以使用供应商的货币,以最大程度地降低成本。调查的主要对象集中在远离大型配送中心的中小型企业(除灯塔,诸如灯塔,边缘岩石等边缘案例外,具有非常有限的可访问性),但积极使用电子商务解决方案来实现日常活动。作者分析并提出了一种解决方案,以解决供应商机队,全球和本地运营商提供的多种路径的组合,用于长途交付的包装交付的成本优化问题。使用了当代企业资源计划系统的数据模型和附加组件,并在流程选择变化的角度提出了其他开发。该实验基于美国公司的数据来源,使用各种运营商进行交付服务,并使用真实公司的数据源;但是,它应用重复的模拟来分析获得的溶液中的方差。
A variety of goods and services in the contemporary world requires permanent improvement of services e-commerce platform performance. Modern society is so deeply integrated with mail deliveries, purchasing of goods and services online, that makes competition between service and good providers a key selection factor. As long as logistic, timely, and cost-effective delivery plays important part authors decided to analyze possible ways of improvements in the current field, especially for regions distantly located from popular distribution centers. Considering both: fast and lazy delivery the factor of costs is playing an important role for each end-user. Given work proposes a simulation that analyses the current cost of delivery for e-commerce orders in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor drop-ship and checks of the alternative ways can be used to minimize the costs. The main object of investigation is focused around mid and small businesses living far from big distribution centers (except edge cases like lighthouses, edge rocks with very limited accessibility) but actively using e-commerce solutions for daily activities fulfillment. Authors analyzed and proposed a solution for the problem of cost optimization for packages delivery for long-distance deliveries using a combination of paths delivered by supplier fleets, worldwide and local carriers. Data models and Add-ons of contemporary Enterprise Resource Planning systems were used, and additional development is proposed in the perspective of the flow selection change. The experiment is based on data sources of the United States companies using a wide range of carriers for delivery services and uses the data sources of the real companies; however, it applies repetitive simulations to analyze variances in obtained solutions.