基于随机需求的物流配送中心选址离散模型研究

针对物流需求不确定情况下的物流配送中心选址问题,对传统模型进行改进,将随机需求变量引入离散型选址模型,利用随机规划理论和遗传算法对实例模型进行求解。结果显示物流需求不确定情况下的随机规划模型的求解结果比假设已知需求情况下的结果真实可信,所需物流费用较少。     

浅谈高层建筑施工工地的消防安全问题及防范对策研究

随着我国城市现代化建设的飞速发展,高层、超高层建筑与日俱增,其施工工地火灾也频繁发生,因此,加强对高层建筑施工工地火灾危险性及防范对策的研究显得十分必要。笔者根据工作实践,分析了高层建筑施工工地的火灾特点,并有针对性地提出了防范措施,现就这方面问题谈谈个人看法。     

施工现场管理的途径及其重要性

简析施工现场管理的重要性及其管理的有效途径。     

政府主导下的土地流转与产业发展及就业的关联机制?——天津近郊地区农村集体建设用地流转实践与启示

天津近郊的小城镇建设过程中,农村集体建设用地流转虽然是在政府主导下进行的,但当地自身经济发展水平和农民生活方式的改变是政府推动土地流转的基础和前提;政府则通过对土地的整合及重新规划,推动了当地的产业结构调整和产业水平提升,也加快了农民身份的转变,并为失地农民提供了相应的就业机会和社会保障。农村集体土地的流转是地区产业结构升级和农民就业转型的需要,而政府主导的土地流转可以更好地促进当地产业结构的演化升级和农民的就业转型。     

机械没备安全施工的管理

文章简述了工程施工中施工机械设备的安全管理制度,提出建立安全管理标准是保证工程安全施工的有效措施.     

基于模糊优选法的核电厂址选择外部人为事件的评价方法

出于安全考虑,核电厂在选址阶段要充分考虑厂址周围的外部人为事件。为此,我国出台了《HAF0105核电厂厂址选择的外部人为事件》,对外部人为事件进行了界定,并提出相应的勘查和评价策略。根据《事件》提出的飞机坠毁、爆炸、危险液体释放的分类,进行定量化评价,然后利用模糊优选法建立模型,将多个厂址进行比对,得到待选厂址在外部人为事件方面的优劣排序。     

Does state-mandated reporting work? The case of surgical site infection in CABG patients

This paper is the first empirical study to explore the relationship between the state-mandated reporting of surgical site infections (SSIs) and changes in infection rates, length of stay and costs among coronary artery bypass grafting (CABG) patients. This paper uses generalized difference-in-difference (DID) methods to analyze patient discharge data from the Nationwide Inpatient Sample (NIS) from January 2004 to December 2011 merged with state-level data on mandatory reporting status. After controlling patient and hospital characteristics, and state and year fixed effects, we do not find empirical evidence that state-mandated reporting leads to lower odds of SSIs in CABG procedure. Although it is associated with shorter length of stay and lower costs, the effect is not significant. These results suggest that merely requiring hospitals to report outcomes may not lead to significant changes at least in the case of SSIs among CABG patients.     

Customer Loyalty and Privacy on the Web

ABSTRACT

This study examines from simulation the effects of the privacy sensitivity of customers, the personalization practices or standards of retailers and the difficulty in locating favorable sites on the loyalty of consumers to a Web site. The key finding of the study is that customer privacy sensitivity is a critical success factor that significantly impacts loyalty to a retailer. Customers have higher loyalty to sites that request the least information, while they have lower loyalty to sites that request the most information. Web retailers considering expanded personalization of products or services to customers, through increased personal information, need to rethink their practices. The study also found that difficulty in locating a favorable site is a success factor that impacts retailer loyalty, and that customers have higher loyalty to difficult to locate favorable sites on the Web. These findings are important at a time when consumers are empowered with Web technology to immediately shop competitor sites.     

基于层次分析法的我国高新技术产业选址决策

在我国实施创新驱动发展战略的背景下,运用层次分析法对我国高新技术产业的优化选址问题进行研究。以四个经济区域为选址对象,构建了以人力资源市场、产学研技术支持、地方政府政策、原材料供应情况、交通区位优势、区域生活幸福指数、区域金融机构放贷政策、区域创新网络建设、区域产业发展饱和度等9个准则的判断矩阵。经过MATLAB软件的计算,得出高新技术产业选址排列的优先顺序：合芜蚌新区、天津滨海新区、成渝经济区、浦东新区。最后简分析原因并指出研究不足。     

Assessment of business potential at retail sites: empirical findings from a US supermarket chain

We address the problem of estimating retail business potential at alternative sites, with concern for assessing performance relative to potential in existing markets and for identifying the best sites for expansion into new markets. At question is the utility of information typically used in formal retail patronage models, in comparison with additional information considered important by retail executives. Relevant data are gathered from secondary sources and intensive in-store surveys are conducted to produce a portfolio of information about neighbourhood demographics, store ambience, variety and quality of products and services, relative prices of selected products, etc. for stores in a retail grocery chain and competitive stores in the chain's markets. We experiment with alternative statistical models for store performance to determine the consequence of restricting the types of data available when constructing the models. Our findings suggest that while information about store location and surrounding areas, store characteristics and competitive position are all required to obtain the best assessment for business potential at a site, a few key variables on each dimension offer the bulk of explanatory power. Further, the spatial-locational variables affect all measures of store performance in intuitive directions, whereas the effects of other variables differ according to performance measure and reflect the store's market position.