Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

Information and its impact on consumers׳ reactions to restrictive return policies

Designing an effective return policy is a difficult task for retailers. A very restrictive return policy can keep logistic costs down and prevent fraudulent returns but it can also have a negative effect on consumer behavior. Two experiments explore the role of assortment-related information in moderating consumers׳ negative reactions to more restrictive product return policies. The results demonstrate that consumers will view an assortment characterized by a more restrictive return policy as attractive to the extent that the assortment supports the information processing strategy triggered by the return policy.     

服装外贸跟单的人才构建与实践

本文阐述了服装外贸跟单员工作岗位的形成,重点介绍服装外贸企业的跟单工作过程,通过将服装外贸跟单员的起源与工作过程相结合,最终对服装外贸跟单的人才培养提出几点建议。     

卷烟企业制丝线管控目标分析与设计

文章基于制丝线管理目标需求进行系统目标分析,分解系统结构并且进行优化设计,旨在改善制丝线管控目标控制效果,提高生产效能。     

MATLAB GUIDE在数字图像处理教学中的应用

MATLAB GUIDE(Graphical User Interfaces,图形用户界面)是为表现MATLAB中的基本功能而设计的演示程序。本文通过对数字图像处理中几个常用的设计例子,开发和利用MATLAB GUIDE的教学自动控制系统,展示了MATLAB GUIDE在数字图像处理课程辅助教学的优点。     

对江苏省电力负荷进行回归预测

本文主要根据2001-2011年江苏省用电量样本数据,建立了江苏省电力负荷与人均GDP、工业化以及人口数之间的多元回归预测方程,并预测了江苏省2014-2020年总用电量数据,在此基础上提出了相应的建议。     

数控车床加工实训中的故障分析

本文通过分析学生在数控车床实训时易产生的故障和操作失误,阐述了故障发生的原因、避免或排除的对策,以切实提高学生的数控加工能力。     

连续梁墩梁固结研究——以二七长江大桥上跨铁路工程为例

结合武汉市二七长江大桥上跨铁路工程施工过程,采用模拟计算墩梁固结临时墩的受力,结合监控资料,得出其荷载的合理取值,并总结归纳墩梁固结的多种形式,分析优缺点,提出各种形式的适用范围。     

A gradient boosting approach to the Kaggle load forecasting competition

We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The data available consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations, for four and a half years. For each zone, the hourly electricity loads for nine different weeks needed to be predicted without having the locations of either the zones or stations. We used separate models for each hourly period, with component-wise gradient boosting for estimating each model using univariate penalised regression splines as base learners. The models allow for the electricity demand changing with the time-of-year, day-of-week, time-of-day, and on public holidays, with the main predictors being current and past temperatures, and past demand. Team TinTin ranked fifth out of 105 participating teams.     

变革中多渠道信息传递对员工绩效的影响机制

面对日趋复杂的外部环境,组织变革成为企业获得竞争力的重要方式。员工参与是组织变革成败的关键,充足的组织变革信息有利于员工积极投入变革。本文以社会信息加工理论为基础,对来自被兼并企业的36个工作团队185名员工进行研究,探索多渠道变革信息传递对员工的影响机制。基于多层次线性模型的数据分析结果表明:(1)变革情境下,组织正式渠道进行信息沟通和变革氛围包含的非正式信息,均能正向促进员工变革绩效;(2)员工所持有的积极变革期望,在多渠道信息传递和变革绩效间起到中介作用;(3)变革氛围跨层调节变革信息沟通对员工积极变革期望的正向作用,相比于低变革氛围情景,具有高变革氛围的团队,通过变革信息沟通更能显著提升员工对变革的积极期望。研究结论对企业变革实践中信息传递和沟通工作具有现实指导意义。