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141.
论述了道路货物运输企业向物流企业转化的必要性,分析了道路货物运输企业向物流 企业转化的有利条件,以及转化中可能存在的困难与难点,对道路货物运输企业如何向物流转 化提出了几点建议;最后,指出了道路货物运输企业向物流企业转化中应注意的几个问题. 相似文献
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随着中国经济的快速增长,人民生活水平的不断提高,汽车已不再是一种身份的象征,它已作为一种普通的交通工具进入千家万户。面对这种形势,如何为汽车企业培养更多的实用型人才便成为成人教育面临的新课题。结合作者的工作实践,简述了对成人教育的认识,指出要走特色兴校之路,办出贴近汽车企业的成人教育。 相似文献
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为更好地反映不同决策者对电子收费系统(ETC)评价的偏好,从政府、运营者和付费者三个主要利益主体的角度对ETC系统的评价指标及评价方法进行了研究。根据评价指标体系筛选原则,确定了基于决策偏好的ETC系统评价指标体系;通过综合分析成本-效益法(CBA)和数据包络分析法(DEA)的各自特点,依据基于决策偏好所确定的评价指标,同时引入当前一些比较好的算法来优化CBA,DEA和AHP法,建立数学模型,从而确立了基于决策偏好的综合评价方法。该方法较为全面地对ETC系统社会经济影响进行评价,所建立的指标体系和方法能更直观、更可靠地反映出决策者的决策偏好。 相似文献
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我国中小企业融资问题简论 总被引:1,自引:0,他引:1
罗哲 《兰州交通大学学报》2007,26(5):27-32
融资困难是不同时期各国中小企业普遍面临的重要问题之一.本文通过中小企业与国有企业融资的对比分析,考察了我国中小企业融资困难的原因和相应策略.作者认为,中小企业自身发展的特点、融资渠道与融资风险、金融机构和社会服务体系等的综合作用是造成中小企业融资难的根本原因,而破解中小企业融资难的基本思路就在于政府、市场和中介组织的共同创新与发展. 相似文献
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Rising levels of air pollution is a major concern across many parts of the world. In this article, we develop a transportation policy to handle air pollution caused by the heavy flow of traffic in urban areas. In particular, we aim to distribute the traffic flow more evenly through a city, by developing a flow algorithm that computes multiple solutions, each of which accommodates the maximum flow. The paper makes the following contributions to build such a transportation policy: (a) Develops a Pareto-optimal Max Flow Algorithm (PMFA) to suggest multiple max flow solutions. (b) Introduces the notion of k-optimality into PMFA to ensure that the suggested pareto solutions are sufficiently distinct from each other – referred to as Pareto-k-optimal Max Flow Algorithm (k-PMFA). (c) Through a series of experiments performed using the well-known traffic simulator SUMO and by doing emission modeling on the New York map, we could show that our policy distributes the air pollution more uniformly across locations. 相似文献
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These days, transportation and logistic problems in large cities are demanding smarter transportation services that provide flexibility and adaptability. A possible solution to this arising problem is to compute the best routes for each new scenario. In this problem, known in the literature as the dial-a-ride problem, a number of passengers are transported between pickup and delivery locations trying to minimize the routing costs while respecting a set of prespecified constraints. This problem has been solved in the literature with several approaches from small to medium sized problems. However, few efforts have dealt with large scale problems very common in massive scenarios (big cities or highly-populated regions). In this study, a new distributed algorithm based on the partition of the requests space and the combination of the routes is presented and tested on a set of 24 different scenarios of a large-scale problem (up to 16,000 requests or 32,000 locations) in the city of San Francisco. The results show that, not only the distributed algorithm is able to solve large problem instances that the corresponding sequential algorithm is unable to solve in a reasonable time, but also to have an average improvement of 9% in the smaller problems. The results have been validated by means of statistical procedures proving that the distributed algorithm can be an effective way to solve high dimensional dial-a-ride problems. 相似文献