水利工程测量中全站仪的误差分析与精度控制

文章通过简单介绍水利工程测量中全站仪的应用,对全站仪在使用过程中存在的误差进行了分析,进而找到解决全站仪误差问题的精度控制方法。     

实贷实付制度下高速公路融资对策

管理层实施信贷资金＂实贷实付＂制度的本意是减少信贷资金闲置、限制垄断信贷资金行为,将信贷资金规模导向小微企业。实施三年来,该政策对高速公路建设产生了一定影响,文中将分析实贷实付政策对高速公路建设资金筹措的影响,并提出应对措施供大家参考。     

基于连锁超市的包装废弃物回收模型

阐述了包装废弃物回收的意义,基于资源整合与共享的理论思想,提出连锁超市的回收模式,即基于连锁超市的配送体系,在连锁超市合理选址的基础上,依超市建立回收站点,集中回收可再利用的包装;充分利用配送中心的网络资源,建立以达到降低物流成本,实现资源再利用为目的的模型.最后用模糊综合评价法对其进行了评价.     

有限期内考虑货币时间价值的两级信用期易逝品库存模型

在有限期内考虑货币时间价值的情况下,研究了需求依赖于库存、且供应商与零售商之间、零售商与顾客之间存在两级信用期的易变质产品的库存策略,并建立了相应的库存模型,证明模型存在最优解,并给出了该模型的数值算例.     

基于三角模糊数的供应商选择方法研究

为了较为客观科学地选择与评价供应商,将定性与定量指标数据统一量化,将层次分析法和三角模糊数相结合,构建了基于三角模糊数的供应商选择综合评价模型,并运用该模型以轨道交通企业为例进行了实证分析.该模型较好地解决了既有定性指标又有定量指标的指标体系评价问题,同时,在定量指标的隶属度确定方面更为客观.     

检测数据全息可视化系统设计与实现

在对空间、时间和业务属性数据关联性聚合的基础上,利用地理信息系统技术、三维虚拟现实技术和多媒体技术将高速综合检测列车的检测数据统一在一个三维GIS可视化系统上进行展现.采用数据层、服务层、接口层、应用层、客户层的5层架构模式进行系统结构设计,利用MapABC与AnGeo二三维平台相结合的方式进行二三维数据一体可视化,实现了二三维数据的融合与实时联动;解决了高速运动条件下三维场景快速加载及全息可视化等关键技术,为检测数据的综合分析和展示提供了新的思路和方法.     

从城市超市寻觅中国零售的“恒生态”

本文从电商发展等行业热点问题出发,通过考察上海城市超市(CITY SHOP),导出了我国零售的"新生态"与"恒生态"问题。本文认为,我国零售业面临的最根本问题是:在创建零售"新生态"过程中,很多商家忘记了"恒生态",忘记了零售经营的成功关键是要给消费一个理由,城市超市从小店铺发展成为"自造型、差异化、跨业经营"的零售典范,贵在培育了"新生态"背后的"恒生态",即商业伦理底线、一线专业人才培养、零售营运管理、体系保障等四大支撑力。     

The Evolution of Enterprise Unionism in Japan: A Socio‐Political Perspective

This article proposes an alternative framework for understanding enterprise unionism by emphasizing political dynamics and the role of the state in labour relations. Our framework delineates the strategic behaviour patterns of each of the tripartite IR actors under collective bargaining. It maintains that the initial period of the collective bargaining era constituted a critical juncture for state labour policy that occurred in distinctive ways in different countries and that these differences played a central role in shaping the different union structures in the following decades. Our historical analysis shows that unlike its Western counterparts, the Japanese state was able to eradicate the horizontal union movement at the onset of the collective bargaining era because of its advantages as a late developer and Cold War politics, which resulted in enterprise unionism in Japan.     

Fashion retail forecasting by evolutionary neural networks

Recent literature on nonlinear models has shown that neural networks are versatile tools for forecasting. However, the search for an ideal network structure is a complex task. Evolutionary computation is a promising global search approach for feature and model selection. In this paper, an evolutionary computation approach is proposed in searching for the ideal network structure for a forecasting system. Two years’ apparel sales data are used in the analysis. The optimized neural networks structure for the forecasting of apparel sales is developed. The performances of the models are compared with the basic fully connected neural networks and the traditional forecasting models. We find that the proposed algorithms are useful for fashion retail forecasting, and the performance of it is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. It is applicable for fashion retailers to produce short-term retail forecasting for apparels, which share these features.