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2013 International Conference on Advanced Logistics and Transport最新文献

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Stochastic dual dynamic programming for transportation planning under demand uncertainty 需求不确定条件下交通运输规划的随机对偶动态规划
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568518
Boutheina Fhoula, A. Hajji, Monia Rekik
This paper addresses the problem of transportation procurement process in a stochastic context and proposes a resolution approach aiming to obtain an optimal policy over a finite planning horizon. Based on a conceptual framework which integrates both strategic and operational decision making levels, this paper addresses the problem from an operational point of view while integrating the transportation decisions already taken at the strategic level. Strategic decisions provide a set of core carriers selected using a combinatorial auction mechanism in which carriers compete by submitting package bids on shipper s' requests. Operational decisions involve a set of core and spot carriers competing to procure transportation services and ship loads from a set of warehouses to a set of distribution centres over a finite planning horizon. The problem is modelled as a Stochastic Linear Multistage Program and the Stochastic Dual Dynamic Programming SDDP is adapted to solve it. To illustrate the practical usefulness and the behaviour of the obtained results, experimentations and sensitivity analyses are carried out.
本文研究了随机环境下的运输采购过程问题,并提出了一种求解方法,旨在获得有限规划范围内的最优策略。基于一个整合战略和运营决策层面的概念框架,本文从运营角度解决了这个问题,同时整合了战略层面上已经做出的交通决策。战略决策提供了一组使用组合拍卖机制选择的核心承运人,其中承运人通过根据托运人的要求提交一揽子投标来竞争。运营决策涉及一组核心承运人和现货承运人在有限的规划范围内竞争采购运输服务和将货物从一组仓库运送到一组配送中心。将该问题建模为随机线性多阶段规划,并采用随机对偶动态规划SDDP进行求解。为了说明实际用途和所得结果的行为,进行了实验和灵敏度分析。
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引用次数: 15
Shiphandling fuzzy logic approach for determining safety criteria of ferry operation 确定轮渡运营安全标准的船舶操纵模糊逻辑方法
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568485
A. Priadi, A. BenAbdelhafid, T. Tjahjono
Shiphandling is deemed as a factor of safety operation of ferry which consists of several variables such as ship condition, shiphandling facility condition, navigation condition and weather condition. The presence of expert knowledge on the complexity of shiphandling difficulty could be utilised through fuzzy rule base and further it could be treated by fuzzy logic system. As the result, the shiphandling difficulty level in linguistic form could be determined and it could be used to form safety criteria of ferry operation in certain area, in this case through development of shiphandling difficulty model for ferry (SMDF). The improvement of SMDF as well as the simulation of model is conducted. As the result, SMDF could be used for assessing safety level of ferry operation through shiphandling aspect and further it could be used to develop standard criteria for ferry operation by regulator.
船舶操纵被认为是影响轮渡安全运行的一个因素,它由船舶状况、船舶操纵设施状况、航行状况和天气状况等多个变量组成。模糊规则库可以利用专家知识对船舶操纵难度复杂性的认识,并进一步利用模糊逻辑系统对其进行处理。通过建立渡轮操纵难度模型(SMDF),可以确定语言形式的船舶操纵难度等级,并以此来形成特定区域渡轮操作的安全标准。对SMDF进行了改进,并对模型进行了仿真。因此,SMDF可用于从船舶操作方面评估渡轮运营的安全水平,并可用于监管机构制定渡轮运营的标准准则。
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引用次数: 5
Application of distributed fault detection in WSN to dangerous chemical products based on Bayesian approach 基于贝叶斯方法的分布式故障检测在WSN危险化工产品中的应用
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568447
Sourour Trab, A. Zouinkhi, B. Boussaid, M. Abdelkrim
Wireless Sensor Networks (WSN) are employed in several applications, including military, medical, environmental and household applications. Among the most important problems in WSN are their vulnerability to faults and high energy consumption. Both of these problems require the implementation of fault distributed detection methods, capable of distinguishing faulty nodes from normal nodes while taking into account energy problems. Several approaches of distributed fault detection are proposed; for example, we include the Bayesian approach, which ensures a study oscillating between Theory of Signal Detection (TSD), fault tolerance and energy optimization by determining optimal parameters of the detection. It is in this context that our paper is inscribed, where we try to apply this approach in the industrial security's field. The Bayesian approach ensures a pre study of WSN's deployment in the dangerous chemical products stores and guarantees a best performing fault detection. The experimental simulations will testify that the proposed algorithm is able to provide a good detection performance while optimizing energy in WSN.
无线传感器网络(WSN)用于多种应用,包括军事,医疗,环境和家庭应用。无线传感器网络存在的主要问题是易受故障影响和高能耗。这两个问题都需要实现故障分布式检测方法,能够在考虑能量问题的同时区分故障节点和正常节点。提出了几种分布式故障检测方法;例如,我们采用贝叶斯方法,通过确定检测的最优参数,确保研究在信号检测理论(TSD)、容错和能量优化之间振荡。正是在这种背景下,我们的论文是题写的,我们试图将这种方法应用于工业安全领域。贝叶斯方法确保了WSN在危险化学品存储中部署的预研究,并保证了最佳的故障检测性能。实验仿真结果表明,该算法能够在优化能量的同时提供良好的检测性能。
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引用次数: 8
Applying multi-agent technique in cooperation: Case of tourism supply chain 多主体技术在合作中的应用——以旅游供应链为例
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568481
E. Benaissa, B. Tahiri, A. BenAbdelhafid
Information and logistics are two main problems in Tourism Supply Chain. Tourism Supply chain cooperation has become a critical success factor. Cooperation refers to the integration of different parts of an organization or different organizations in supply chain to accomplish a collective set of tasks and to achieve mutual benefits. Several researches focus on applying artificial intelligence to solving the problem. Semantic web services and Multi- Agent are two technologies with great potential. However, semantic web services need for an upper software entity able to deal with them and, on the other hand agent technology has historically suffered from a number of drawbacks that must be addressed. Integrating these two technologies in a joint environment can overcome their problems while strengthening their advantages. In this paper, the necessity for integrating these technologies and the potential benefits of their combination are analyzed. Based in this study we present our intelligent framework, provided a support of collaborative decision making in the context of Tourism Supply Chain.
信息和物流是旅游供应链中的两个主要问题。旅游供应链合作已成为旅游成功的关键因素。合作是指将一个组织的不同部分或供应链中的不同组织整合起来,共同完成一组任务,实现互利。一些研究集中在应用人工智能来解决这个问题。语义web服务和多代理是两种极具发展潜力的技术。然而,语义web服务需要一个能够处理它们的上层软件实体,而另一方面,代理技术历来存在许多必须解决的缺点。将这两种技术集成在一个联合环境中,可以克服它们的问题,同时增强它们的优势。本文分析了集成这些技术的必要性以及它们组合的潜在效益。在此基础上,提出了智能框架,为旅游供应链环境下的协同决策提供了支持。
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引用次数: 3
Optimization of container handling systems in automated maritime terminals: A hybrid genetic and a tabu search algorithms 自动化海运码头集装箱装卸系统的优化:一种混合遗传和禁忌搜索算法
Pub Date : 2013-05-29 DOI: 10.1007/978-3-642-34300-1_29
Hamdi Dkhil, A. Yassine, H. Chabchoub
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引用次数: 14
A distributed approach for the resolution of a stochastic dial a Ride Problem 随机拨乘问题的分布式求解方法
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568460
Brahim Issaoui, I. Zidi, K. Zidi, K. Ghédira
The paper describes a multi-objective mathematical model for the Dial a Ride Problem (DRP) and an application of Multi-Objective Simulated Annealing (MOSA) to solve it. DRP is to take over the passenger from a place of departure to a place of arrival. In the DRP, passengers send transportation requests to an operator. The ultimate aim is to offer an alternative to displacement optimized individually and collectively. The DRP is classified as NP-hard problem that's why most research has been concentrated on the use of approximate methods to solve it. Indeed the DRP is a multi-criteria problem, the proposed solution which aims to reduce both route duration in response to a certain quality of service provided. Actually, during the system of transport on demand (TOD) there are many problems can inhibit the proper functioning of the system, such as failure of the car and bottling etc. We propose a resolution of the dynamic DRP using a service of TOD called TOD with Simulated Annealing (TOD-SA). The solution proposed in this paper enables both a reduction of travel time also the distance traveled.
本文提出了一种多目标座驾问题的数学模型,并应用多目标模拟退火法求解了座驾问题。DRP是将旅客从出发地接往到达地。在DRP中,乘客向操作员发送运输请求。最终目标是提供一种替代个人和集体优化的位移。DRP被归类为np困难问题,这就是为什么大多数研究都集中在使用近似方法来解决它。实际上,DRP是一个多准则问题,所提出的解决方案旨在减少路由持续时间,以响应所提供的一定质量的服务。实际上,在按需运输(TOD)系统中存在许多问题,如车辆故障、装瓶故障等,会影响系统的正常运行。我们提出了一个动态DRP的解决方案,使用TOD的服务,称为TOD与模拟退火(TOD- sa)。本文提出的解决方案既可以减少旅行时间,也可以减少旅行距离。
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引用次数: 5
Autonomous vehicle sequencing problem for a multi-intersection network: A genetic algorithm approach 多交叉口网络自动驾驶车辆排序问题:一种遗传算法方法
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568462
Fei Yan, M. Dridi, A. El Moudni
This paper addresses a vehicle sequencing problem at multiple intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, there is no more traffic signals. Autonomous vehicles are considered as independent individuals and the traffic control aims at deciding an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge. In this paper, we present a genetic algorithm based on these basic groups is designed to find an optimal or near-optimal vehicle passing sequence. Computational experiments and simulation results show that the traffic condition can be dramatically improved by applying our algorithm.
本文在自主交叉口管理(AIM)框架下,研究了多交叉口的车辆排序问题。在AIM的背景下,没有更多的交通信号。自动驾驶车辆被视为独立的个体,交通控制的目的是确定一个有效的车辆通过顺序。由于存在大量的车辆通过组合,如何在短时间内找到一个有效的车辆通过顺序成为一个很大的挑战。在本文中,我们提出了一种基于这些基本群的遗传算法来寻找最优或接近最优的车辆通过序列。计算实验和仿真结果表明,该算法能显著改善交通状况。
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引用次数: 10
Intelligent Public Transportation Systems: A review of architectures and enabling technologies 智能公共交通系统:体系结构和使能技术综述
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568465
S. Elkosantini, S. Darmoul
Intelligent Public Transportation Systems (IPTS) are a subsystem of Intelligent Transportation Systems (ITS), which aim to control public transportation networks, to maintain their performance, and to provide users (passengers and decision makers) with up-to-date information about trips and network operating conditions. To reach these aims, IPTS rely on several technologies that can be embedded within different control architectures. This paper introduces IPTS components and technologies, identifies the different types of data captured from the transportation network and exchanged between IPTS components, and shows ways to integrate technological components and data within IPTS architectures. A section is dedicated to review architectural design of some developed IPTS to control public transportation networks. Finally, some challenges are discussed and further research directions are highlighted.
智能公共交通系统(IPTS)是智能交通系统(ITS)的一个子系统,其目的是控制公共交通网络,保持其性能,并向用户(乘客和决策者)提供有关行程和网络运行状况的最新信息。为了实现这些目标,IPTS依赖于几种可以嵌入到不同控制体系结构中的技术。本文介绍了IPTS组件和技术,确定了从运输网络捕获并在IPTS组件之间交换的不同类型的数据,并展示了在IPTS架构内集成技术组件和数据的方法。其中一节专门回顾了一些发达的控制公共交通网络的IPTS的建筑设计。最后,对存在的问题进行了讨论,并提出了进一步的研究方向。
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引用次数: 35
Risks prioritization in global supply networks using MICMAC method: A real case study 使用MICMAC方法的全球供应网络风险优先排序:一个真实案例研究
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568491
Manel Elmsalmi, Wafik Hachicha
Modern supply chains are very complex and suffer always from various risks. An effective supply chain management requires suitable strategies to mitigate them. In literature, there has been a range of research into risk in purchasing and supply, but little in global and integrated supply networks. This can be explained due to the huge number of risk variables and their direct and indirect interrelations that may suffer all supply chain partners. Therefore, for better risk management process, the risk prioritization step is vital. The purpose of this paper is to apply a structural modeling technique for risk analysis and prioritization through a real case study of Masmoudi pastry supply network. Firstly, thirty risk variables have been identified through literature survey, interaction with industry experts, and various interviews with the supply key managers. Secondly, MICMAC method is applied to recognize both direct and indirect relationships between these thirty risk variables, and to ascertain the most prioritized risk variables. This prioritization provides a useful tool to Masmoudi pastry managers to differentiate between independent and dependent risk variables and their mutual relationships which would help them to focus on those key variables that are most important for an effective risk mitigation management.
现代供应链非常复杂,始终存在各种风险。有效的供应链管理需要合适的策略来缓解这些问题。在文献中,对采购和供应中的风险进行了一系列研究,但对全球和综合供应网络的研究很少。这可以解释为,由于大量的风险变量及其直接和间接的相互关系,可能遭受所有供应链合作伙伴。因此,对于更好的风险管理过程,风险优先级排序步骤至关重要。本文的目的是通过对Masmoudi糕点供应网络的实际案例研究,应用结构建模技术进行风险分析和优先排序。首先,通过文献调查、与行业专家的互动以及与供应关键管理者的各种访谈,确定了30个风险变量。其次,应用MICMAC方法识别这30个风险变量之间的直接和间接关系,确定最优先的风险变量。这种优先次序为Masmoudi糕点经理区分独立和依赖风险变量及其相互关系提供了一个有用的工具,这将有助于他们将重点放在对有效的风险缓解管理最重要的关键变量上。
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引用次数: 28
Impact of transport infrastructure on regional mobility: Application of social equity approach 交通基础设施对区域流动的影响:社会公平方法的应用
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568473
R. Mraihi, Romdhani Anis
The present article has for objective to study the relation between the distribution of transport infrastructures and the question of the social equity. The paper shows the impacts of transport infrastructures on the interregional migrations of the individuals in Tunisia by the application of model of gravity, and demonstrates that the attractiveness of a region is dependent on its accessibility and on the level of its endowment in transport infrastructures.
本文旨在研究交通基础设施布局与社会公平问题之间的关系。本文运用引力模型分析了交通基础设施对突尼斯区域间人口迁移的影响,并论证了一个地区的吸引力取决于其可达性和交通基础设施禀赋水平。
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引用次数: 0
期刊
2013 International Conference on Advanced Logistics and Transport
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