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A conceptual model for intermodal freight logistics centre location decisions

机译:联运货运物流中心选址决策的概念模型

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The persistent growth of freight traffic congestion and air pollution in urban areas and the increase of imbalance and inefficiency in land use development drive public authorities and users to find alternative logistics solutions to ease the freight traffic problem. Intermodal freight logistics centres play an important role in achieving socio-economic and environmental sustainability by enhancing an optimal integration of different modes to provide an efficient and cost-effective use of the transport system through customer-oriented, door-to-door services while favouring competition among transport operators. An efficient logistics centre structure may lead to a significant profit and return on investment as well as a significantly increased competitive advantage in the market place by meeting strategic commercial objectives, where determination of the location is a key factor in enhancing the efficiency of urban freight transport systems and initializing relative sufficient supply chain activities. Hence, public authorities should consider the importance of this topic by any given decision in terms of strong economical, social and environmental implications before announcing an area as a logistics centre. The objective of this study is to explore the applicability of the way for the development of a conceptual model based on a combination of the fuzzy-analytical hierarchy process (AHP) and artificial neural networks (ANN) methods in the process of decision-making in order to select the most appropriate location. A numerical example is provided to demonstrate the concept of proposed model.
机译:城市地区货运拥挤和空气污染的持续增长以及土地利用开发的不平衡和效率低下的加剧,促使公共当局和用户寻找替代的物流解决方案来缓解货运问题。多式联运货运物流中心通过加强不同模式的最佳整合,通过以客户为导向的门到门服务,在提供运输服务系统的同时有效利用成本的同时,在实现社会经济和环境可持续性方面发挥重要作用运输运营商之间的竞争。高效的物流中心结构可以满足战略商业目标,从而带来可观的利润和投资回报,并显着提高市场竞争优势,而地点的确定是提高城市货运效率的关键因素系统并初始化相对充分的供应链活动。因此,在宣布某个地区为物流中心之前,政府当局应根据任何给定的决定,从对经济,社会和环境的重大影响来考虑该主题的重要性。本研究的目的是探索将模糊-层次分析法(AHP)和人工神经网络(ANN)方法相结合的概念模型开发方法在企业决策过程中的适用性。为了选择最合适的位置。提供了一个数值示例来说明所提出模型的概念。

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