面向企业的运输销售管理信息系统设计

以石油企业运输销售经营管理为背景,对运输销售管理信息系统进行了研究.以软件工程为指导,运用先进的设计方法与结构分析,并结合数据库的特点给出了运输销售管理信息系统具体的设计方案.     

Using online pickup site inclusion policies to manage demand in retail/E-tail organizations

A major development in online retailing is the significant increase in the number of traditional “offline” retailers extending their brands online. Many of these retail/e-tail firms are attempting to leverage channel synergies by allowing customers to purchase products over the internet and then pick their orders up at one of the firm's local stores. This paper proposes that the firm presents only a subset of its stores to online customers as available pickup locations, rather than simply listing all local stores with inventory. By doing so, the firm can protect stores with critically low inventory levels and thereby reduce backorder costs. Specifically, we develop and evaluate a dynamic pickup site inclusion policy that incorporates real-time information to specify which of the firm's e-fulfillment locations should be presented at online checkout. Computational results indicate that managing in-store demand via such policies can decrease total cost (holding, backorder, and lost or redirected pickup sale costs) by as much as 18% over allowing customers to pick online orders up from any site with available inventory. The percentage of pickup sales and customers' sensitivity to travel are critical in determining the magnitude of the benefit.     

烟草销售企业供应链系统分析与设计

随着现代信息技术的发展，现代企业之间的竞争不再是单一企业之问的竞争，而是企业供应链之间的竞争，供应链管理可以将核心企业内外部资源统筹优化配置，扩展资源配置范围，同时也可以最大限度地消除中间环节，节省交易费用．在分析了中国烟草销售企业特点的基础上，针对烟草销售企业存在的问题，应用供应链的思想，进行系统设计，最后以深圳烟草公司供应链系统为例，对烟草销售企业供应链系统功能、结构及系统关键技术进行了说明．     

国有企业销售人员退出机制若干思考

销售人员是国有企业稳步发展的基础,合理的销售人员配置能够有效提高销售人员的工作效率以及工作质量。但是随着我国企业改革的不断深入,国有企业的经营体制以及管理结构都发生了较大的变化,这就对国有企业销售人员管理提出了新的挑战与新的要求。根据在铝加工企业的工作经验,重点阐述了国有企业销售人员退出机制的构建,以供有关人士参考借鉴。     

基于UML的汉中茶叶销售系统分析与设计

利用面向对象思想进行信息系统建模,已经成为当前软件开发的主流。针对目前汉中茶叶市场的现状,分析构建茶叶销售系统的意义;同时结合UML建模的优势,探讨了基于UML的茶叶销售系统的建模过程,并在建模工具Power Designer15的环境下,构建了系统的需求模型、静态模型和动态模型。     

基于深度学习的线上农产品销量预测模型研究

本文基于线上农产品销售存在的信息不对称问题,提出一种应用深度学习算法优势结合涉农电商销售数据特点的销量预测模型-皇冠模型（Imperial Crown Model,简称ICM）。首先建立因素评价指标,将销量分为四个类别。其次,采用两层自编码网络从无标签数据集中学习得到能够表征数据特征的参数,并生成新的特征向量。然后利用训练后的有标签样本集和无标签样本集训练分类器并分类。最后,利用反向传播算法微调整个网络参数得到使损失函数值达到最小的最优参数,从而实现线上农产品的销量分类预测。经仿真分析,验证了ICM模型的分类准确率高达88%,明显高于其它未将数据进行特征学习的浅层分类器,证明了ICM具有较好的增量自学习能力和层次认知能力。     

Prediction of retail sales of footwear using feedforward and recurrent neural networks

Fluctuation of sales over time is one of the major problems faced by most of the industries. To alleviate this problem management tries to base their plans on forecast of sales pattern, which are mostly adhoc and rarely provides solid foundation for the plans. This study makes an attempt to solve this problem by taking a neural network approach, at the process of sales of footwear, and arriving at an optimum neural network model. The algorithms used for developing such model through neural network are both feedforward and recurrent Elman network. The data used in this work are the weekly sales of footwear and the information about the seasonality of sales process. While solving the problem, the focus is on forecasting of weekly retail sales as per the requirement of management. This work would reduce the uncertainty existing in the short-term/middle term planning of sales and distribution logistics of footwear over different time horizons across the entire supply chain of footwear business.     

基于B/S模式的在线旧书销售系统分析与设计

对面向高校学生的在线旧书销售业务流程进行了分析,采用B/S模式设计开发出一套适合业务特点的管理信息系统,从而实现了企业运营的自动化、高效化.     

智能手机操作系统群雄并起

近年来,随着全球移动数据业务使用量的迅猛增长,智能手机销量不断攀升。代表不同市场阵营的智能手机操作系统竞争日益激烈。笔者在回顾市场上主流操作系统形成现今市场地位的历史原因同时,对其未来的发展机遇逐一作了分析,在此基础上,对未来智能手机操作系统的市场格局做出了预测。     

Performance Impacts of Web-Enabled Retail Services: An Empirical Study

Prior studies suggest that the growth in online retail is attributed to the effective implementation of media-rich and interactive services and functionalities that help overcome the para-social distance between customers and online retail stores. However, few studies have offered empirical evidence that demonstrates the specific impacts these interactive services and functionalities have on the financial performance of online retailers. Using data on the operations and financial performance of the top 500 online retailers in the U.S., this study investigates the impact that website features and functionalities have on sales performance and other intermediate performance measures. Our findings suggest that website features and functionalities have a significant direct impact on sales as well as an indirect impact through intermediate performance measures. Furthermore, our model identifies the specific performance measures that each website feature targets to improve.