开发与培养高职物流人才可行性分析

本文从我国现代物流及其发展现状出发,揭示了物流业人才需求日益增加与普通高校人才培养速度相对滞后之间的矛盾,从而推导出通过高职培养物流人才势在必行,并通过可行性分析以突出其实践意义。     

基于神经网络的物流需求预测——以浙江省长兴县为例

为了寻找城市经济与城市物流之间的内在关系,并为城市物流规划提供必要的决策数据和依据,建立基于神经网络的“城市经济一物流需求”预测模型,对城市物流需求量进行预测。应用人工神经网络模型研究城市经济与城市物流需求之问的内在非线性映射关系,为城市物流需求预测提供了一种新的思路和方法。本文以浙江省长兴县历年经济数据作为模型的信息输入。建立起长兴县物流预测模型,并进行求解。     

浅谈对第三方物流的认识

物流这一概念,随着它对商品生产、流通和消费的影响,日益明显并越来越引起人们的注意。随着现代企业生产经营方式的变革和市场外部条件的变化,“第三方物流”(thirdpartylogistics)这种物流形态开始引起人们的重视。为参与国际竞争,企业必须降低产品的成本(包括生产成本和销售成本),降低库存(包括仓储和运送过程中的库存),增加效益;企业要求准确及时的信息,要求增加整个供应链流程的可视性。第三方物流提供者为企业解决了上述难题,因此,越来越多的企业纷纷选择了这一新兴的物流业务。     

高等院校物流管理专业实习实训方案的设计

随着我国社会经济的不断发展,物流领域出现了专业人才匮乏的现象。在社会对物流人才需求旺盛的情况下,很多高等院校相继开设了物流管理专业,以期通过大量培养物流管理专业的人才来满足相关企业的需求。但是在实践中,很多物流管理专业的学生在实习工作中缺少应变能力,实践能力弱,不能达到物流企业的用人标准。对目前高等院校物流管理专业实习实训方案进行了分析探讨,以期设计出一个相对完善、创新的物流管理专业实习实训方案,促进物流管理人才的培养,有效满足当前物流管理人才供不应求的紧张局面,促进我国整个物流领域更好更快地发展。     

Estimation of Deprivation Level Functions using a Numerical Rating Scale

Evaluating and quantifying human suffering in humanitarian operations offers an innovative and potentially powerful way to assess the performance of humanitarian logistics (HL) and help build optimization models. Previous studies have suggested deprivation cost as a metric and have estimated deprivation cost functions for water using willingness‐to‐pay. Our study proposes deprivation levels, defined as the degree of human suffering caused by lack of access to a good or service, and estimates deprivation level functions using a numerical rating scale. Analyzing data collected from respondents with and without disaster experience, we find that individuals in the latter category estimate deprivation differently from the beneficiaries of disaster relief. Our study demonstrates that deprivation levels can be expressed as logistic growth functions with a typical S‐shape, and that these can be integrated into HL optimization models to better account for human suffering.     

The Role of Media Exposure on Coordination in the Humanitarian Setting

Despite high demand and resource limitations, humanitarian organizations (HOs) typically do not share resources and/or coordinate in the field. While coordination enhances operational performance and saves costs, the general perception is that it dilutes the media attention that individual organizations might receive, and negatively influences their future donation income. In this study, we empirically unveil the impact of media exposure and operational performance on the donations obtained by HOs. Then, based on the empirical results, we develop a stylized model to characterize the structure of preferred coordination policies with respect to an organization's funding source and main mandate. Our findings shed light on the incentives and dynamics that drive behaviors in humanitarian operations and provide insights for policy makers on designing and implementing mechanisms that encourage humanitarian coordination.     

Evaluation of multi-objective optimization approaches for solving green supply chain design problems

This paper evaluates the applicability of different multi-objective optimization methods for environmentally conscious supply chain design. We analyze a case study with three objectives: costs, CO₂ and fine dust (also known as PM – Particulate Matters) emissions. We approximate the Pareto front using the weighted sum and epsilon constraint scalarization methods with pre-defined or adaptively selected parameters, two popular evolutionary algorithms, SPEA2 and NSGA-II, with different selection strategies, and their interactive counterparts that incorporate Decision Maker׳s (DM׳s) indirect preferences into the search process. Within this case study, the CO₂ emissions could be lowered significantly by accepting a marginal increase of costs over their global minimum. NSGA-II and SPEA2 enabled faster estimation of the Pareto front, but produced significantly worse solutions than the exact optimization methods. The interactive methods outperformed their a posteriori counterparts, and could discover solutions corresponding better to the DM preferences. In addition, by adjusting appropriately the elicitation interval and starting generation of the elicitation, the number of pairwise comparisons needed by the interactive evolutionary methods to construct a satisfactory solution could be decreased.     

Material logistics in hospitals: A literature review

Hospital material management has been identified as one key cost containment lever to cope with steadily increasing healthcare costs in industrialized countries. The purpose of this work is to present the state-of-the-art of research on material logistics management in hospitals. Particular focus is given to articles that apply quantitative methods. Our contribution is threefold: First, we provide research guidance through categorizing literature and identifying major research streams. Second, we discuss applied methodologies and third, we identify future research directions. A systematic approach is undertaken in order to identify the relevant literature from 1998 to 2014. Applicable publications are categorized thematically and methodologically and future research opportunities are worked out. In total, 145 publications are identified and discussed in this work. The literature is categorized into four streams, i.e., (1) Supply and procurement, (2) Inventory management, (3) Distribution and scheduling, and (4) Holistic supply chain management. The use of optimization techniques is constantly gaining importance. The number of respective publications has continually grown and has peaked over the last three years. Optimization has been successfully applied in research streams (1), (2), and (3). Category (4) comprises a rather qualitative research field of literature dealing with supply chain management issues.     

海口市发展会展物流的SWOT分析

本文运用SWOT模型,对海口市发展会展物流的优劣势进行分析,并提出相关对策建议。     

西安物流发展的系统分析与评价

2003年《西安现代物流产业发展规划》提出以来,西安的物流业发展取得了一定的成就,也存在不少问题。文章基于对西安物流产业发展现状的系统分析与评价,提出了发展特色物流、提升现代服务水平、发展物流金融等基本思路,以期促进西安物流产业的健康有序发展。