带软时间窗的两阶段连锁门店配送车辆路径问题研究

针对连锁企业配送路径优化决策问题,利用分解法进行两阶段分析,建立数学模型,并引入时间窗约束。应用最小包络聚类分析方法确定供应商与配送中心的最佳位置与数量,运用禁忌搜索算法求解配送中心到门店的最佳配送路径,算例测试验证了该方法的有效性与研究的实用价值。     

基于存储过程的物料单层次码算法

作为制造业的EPR软件，物料需求计划（MRP）模块是必不可少的，模块的基础数据之一的物料单层次码的计算，对于该类ERP软件的成功编制是一个很重要的环节，介绍了层次码算法，采用了递归的设计思想，充分利用现代关系数据库所提供的强大查询，计算功能，将其设计为一个存储过程，设计符合现代软件工程思想，即将用户界面，商务逻辑，数据相分离的原则，以便于维护、移植，由于存储过程是在服务器端运行，也使得算法具有较高的执行效率。     

初探建设工程信息管理工作方法

根据建设工程文件、档案管理工作实践经验,分析建设工程信息的收集、传递、加工、整理、检索、存储过程,意在探索工程信息管理工作的适用方法。     

服装品牌概念向大众认知转换的机制

本文基于对国内外服装品牌的概念营销的关注,分析了服装品牌概念向大众认知转换的关键因素,指出服装品牌基于注意力导向进行概念营销的特征。重点通过对转换的介入点、途径、方法的分析,构架了转换的机制。     

A study of detecting and combating cybersickness with fuzzy control for the elderly within 3D virtual stores

Elderly individuals can access online 3D virtual stores from their homes to make purchases. However, most virtual environments (VEs) often elicit physical responses to certain types of movements in the VEs. Some users exhibit symptoms that parallel those of classical motion sickness, called cybersickness, both during and after the VE experience. This study investigated the factors that contribute to cybersickness among the elderly when immersed in a 3D virtual store. The results of the first experiment show that the simulator sickness questionnaire (SSQ) scores increased significantly by the reasons of navigational rotating speed and duration of exposure. Based on these results, a warning system with fuzzy control for combating cybersickness was developed. The results of the second and third experiments show that the proposed system can efficiently determine the level of cybersickness based on the fuzzy sets analysis of operating signals from scene rotating speed and exposure duration, and subsequently combat cybersickness.     

复杂对象缓冲技术的研究及实现

在复杂对象的缓冲技术方面，提出并实现了对每一个复杂对象维持一个非定长页面的对象缓冲区的方法，避开了传统定长而面缓冲机制的缺陷。对象空间的分配采用动态分配。     

PaMeCo join: A parallel main memory compact hash join

This paper presents a memory-constrained hash join algorithm (PaMeCo Join) designed to operate with main-memory column-store database systems. Whilst RAM has become more affordable and the popularity of main-memory database systems continues to grow, we recognize that RAM is a finite resource and that database systems rarely have an excess of memory available to them. Therefore, we design PaMeCo to operate within an arbitrary memory limitation by processing the input relations by parts, and by using a compact hash table that represents the contained tuples in a compact format. Coupled with a radix-clustering system that lowers memory latencies, we find that PaMeCo can offer competitive performance levels to other contemporary hash join algorithms in an unconstrained environment, while being up to three times faster than a high-performing hash join when memory constraints are applied.     

面向ITS共用信息平台的数据处理方法研究

对ITS共用信息平台中的数据进行分类,即静态数据、地理信息数据、动态数据和历史数据。在此基础上着重提出了针对实时交通流和空间数据的存取方式。面向ITS数据处理方法和技术包括数据质量控制、数据集成、数据压缩和抽样存储、数据融合。这些方法对于系统地处理、存储、获取和利用基于ITS共用信息平台的交通数据有较好的实用性和推广价值。     

The impact of goods-classification and landmarks for spatial knowledge and goods-finding in the elderly within a 3D virtual store

Online shopping has become quite popular since its first arrival on the internet. Although numerous studies have been performed to investigate various issues related to the internet store, some research issues relating to the spatial cognition of the elderly (the fastest growing internet group) when exploring a 3D virtual store still await further empirical investigation. The objective of this study was to examine how elderly users acquire spatial knowledge in an on-screen virtual store. Specifically, the impact of different types of landmarks on the acquisition of spatial knowledge was examined. In addition, in this study, goods-classification was seen as an implicit landmark associated with the acquisition of spatial knowledge. Therefore, it is worth observing the impact during the location of the goods and examining the combined effect with landmarks. The experimental results indicated that landmarks are important for the elderly as they attempt to locate goods within a 3D virtual store, no matter what types are used. However, landmarks are not the only resources for constructing spatial knowledge in a 3D virtual store; the classification of goods is also a good resource and may be more important than landmarks. In addition, the combined effect of goods-classification and landmarks in a 2D image would be best for the elderly in terms of acquired spatial cognition and the location of goods within a 3D virtual store.     

Optimal pricing decisions for an omni‐channel supply chain with retail service

Motivated by the emergence of dominant physical stores utilizing a buy‐online‐and‐pickup‐in‐store (BOPS) channel, we examine the interaction of such a stronger retailer and a manufacturer's strategies on the pricing and service value. The dominant retailer provides an added service value to end consumers by the traditional channel and BOPS option, which has a positive influence on the market demand. The manufacturer makes the channel selection decision between a dual channel and an omni‐channel. We formulate a retailer Stackelberg game and characterize the equilibrium pricing and service solutions under centralized and decentralized cases. Our results indicate that the service value of a physical store strongly influences the players' pricing strategies. The sensitivity analysis reveals that the total revenue of the supply chain increases with the market scale expansion coefficient of the BOPS option. Furthermore, the result suggests that offering the BOPS channel is always an effective initiative to boost supply chain performance, especially in the centralized structure.