Logistics Information System Evaluation: Assessing External Technology Integration and Supporting Organizational Learning

Firms often outsource the development and acquisition of logistics information systems (LIS) needed to improve logistics processes. Managers tasked with such outsourcing decisions often struggle to understand and balance the external technology's impact on existing logistics processes, individual stakeholders, firm strategies, and the financial and operational performance of the firm. Unfortunately, research is limited on (1) methods for evaluating the performance capabilities of systems from external sources prior to full implementation, and (2) the impact of external technology integration (ETI) on organizational behavior and learning related to a firm's logistics processes. Through the lens of organizational learning (OL) theory, this research uses a case study approach to examine the transportation division of a major U.S.‐based fuel retailer to gain insights on the management control of ETI efforts. The study builds theory to fill important literature gaps then develops a conceptual framework and supporting propositions to inform future research on logistics ETI. The findings highlight important OL implications for firms involved in ETI efforts and also provide a practically relevant management control tool that can be used by logistics practitioners.     

Business Strategies of Incumbents in the Market for Electric Vehicles: Opportunities and Incentives for Sustainable Innovation

This paper focuses on the relation between large car manufacturers’ incentive and opportunity to innovate and their electric vehicle (EV) business strategies. We analyze how environmental regulation and the firm's incentive (measured by net income) and opportunity to innovate (measured by EV asset position, determined from a combination of patent, partnership and prototype data) affected EV sales over the period 1990–2011. During the EV's R&D period in the 1990s, large car manufacturers that were regulated by the full zero emission vehicle mandate developed a significantly stronger EV asset position, but did not sell significantly more EVs than their rivals. During the EV's commercialization period (2007–2011), large car manufacturers with both a strong incentive and a strong opportunity to innovate sold significantly more EVs. Based on these results, the paper offers a typology of business strategies, several managerial implications, and recommendations for policy makers to stimulate sustainable development. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

A prediction model of Consumer's willingness to fly in autonomous air taxis

As companies begin to consider new alternatives to urban transportation and urban air mobility, one method under investigation is autonomous air taxis. Literature indicates that people, in general, have positive attitudes towards innovation and new technology. However, complex factors determine their willingness and speed in acceptance. The objective of this study was to examine which factors significantly forecast consumer willingness to fly in autonomous air taxis. A quantitative methodology and non-experimental design were accomplished using 510 participants to develop the regression equation and assess model fit. Six significant predictors of consumer willingness to fly in autonomous air taxis were found: familiarity, value, fun factor, wariness of new technology, fear and happiness. Three additional analyses were assessed using an independent sample of participants, revealing strong model fit. Few previous studies have provided a quantitative assessment of which factors significantly predict consumer willingness to fly in autonomous air taxis. The study contributes to the body of knowledge by identifying six significant factors which account for over 76% of the variance. These findings may help the industry, manufacturers and regulators identify the types of individuals most willing to try this new form of transportation and provide more information on the type of consumer most likely to buy in to this new form of transportation.     

Steady-state properties in a class of dynamic models

We characterize the location, stability and approach-time of optimal steady states in single-state, infinite-horizon, autonomous models by means of a simple function of the state variable, defined in terms of the model's primitives. The method does not require the solution of the underlying dynamic optimization problem. Its application is illustrated in the context of a generic class of resource management problems.     

斜井滑模台车快速施工技术

本文介绍了利用滑膜台车配合输送泵快速施工技术在红树梁斜井中的成功应用。     

基于粒子群算法的应急物流配送车辆调度研究

结合应急物流配送的车辆优化调度问题,根据应急物流配送的突出特点,对应急物流配送车辆调度路径优化进行了探讨。并建立应急物流配送车辆调度模型,用粒子群算法对车辆的配送路径进行优化。最后通过对实例的分析,验证了本文所提出的模型、算法具有合理性和可行性。     

一种车牌定位与提取方法

本文提出一种基于边缘检测和行扫描相结合的车牌定位与提取算法:主要通过Sobel算子提取原始图像的边缘信息,然后通过水平和垂直扫描进行粗定位,最后根据车牌的特征进行精确定位。     

电动车的2KW太阳能充电站的研究与开发

我国在《国家中长期科学和技术发展规划纲要(2006～2020年)》中明确将"可再生能源低成本规模化开发利用"作为重点领域和优先课题指引系。本文对电动车的太阳能充电站研究设计,促进可再生能源的规模化利用。     

基于扫描算法的启发式构造方法比较

针对车辆路径问题,基于扫描算法第一阶段的解,应用启发式算法中的最近插入算法、凸包算法和最远插入算法求解第二阶段。通过仿真实验,从总里程和算法运行时间两个方面对各算法性能给出评价。结果显示,在应用扫描算法进行聚类后,求解路径排程阶段,凸包算法虽然用时多于其它两种算法,但在里程上有明显优势,最远插入算法与最近插入算法在运行时间上没有显著差别,但在总里程上,前者较好。     

考虑物料撞击的矿用车车厢结构分析与轻量化设计

文章采用ANSYS/LS-DYNA软件分析计算矿用车装载时物料对车厢底板的撞击效应,得到不同弹性模量、不同大小形状的物料撞击车厢不同位置时的应力-应变分布,分析讨论了应力与应变的变化规律及其主要影响因素。在此基础上建立车厢结构优化设计数学模型,采用ANSYS与导重法相结合的方法,在保证结构强度前提下成功地对其进行结构轻量化设计。