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2013 International Conference on Advanced Logistics and Transport最新文献

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Parameter stability in regional freight generation demand modeling in archipelagic regions of Indonesia 印尼群岛地区货运发电需求模型参数稳定性研究
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568432
Imam Sonny, A. BenAbdelhafid, S. Hadiwardoyo
This paper proposes a commodity freight generation demand model in such a way that the movement of commodities is explained by aggregate commodities production and attraction by zone. The proposed model is a modification of the first step of traditional four-step approach, which utilizes regression analysis. Regression analyses correlate freight production and freight attraction based on land use and natural resources productivity of the selected region. The analysis compares eight regression models within nine parameters. The research shows the using of multiple-linear regression and non-linear regression using inverse function to be more accurate and elastic than the other regression analysis.
本文提出了一个商品货运产生需求模型,用商品生产总量和区域吸引力来解释商品的运动。本文提出的模型是对传统四步法第一步的修正,即利用回归分析。根据所选区域的土地利用和自然资源生产率,回归分析了货运生产和货运吸引力之间的关系。分析比较了9个参数下的8种回归模型。研究表明,使用多元线性回归和使用逆函数的非线性回归比其他回归分析更准确,更有弹性。
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引用次数: 0
A new firm's organizational structure based on neurosciences: Neuro-organizational structure 基于神经科学的新型企业组织结构:神经组织结构
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568501
Hammadi Medhioub, M. Benaissa
Face increasingly complex challenges, most large companies use nowadays a hybrid structure that combines characteristics of various structural forms in order to have a greater flexibility required in rapidly changing environments. This study proposes a new firm's organizational structure, inspired from the nervous system functioning. Principally, four points are discussed in this paper: organizational adaptability to the rapidly changing environment, decision making, controls and information sharing. Findings are very interesting and seem in concordance with new challenges and trends.
面对日益复杂的挑战,如今大多数大公司使用混合结构,结合各种结构形式的特点,以便在快速变化的环境中具有更大的灵活性。这项研究提出了一种新的公司组织结构,灵感来自神经系统的功能。本文主要讨论了四个方面:组织对快速变化环境的适应性、决策、控制和信息共享。研究结果非常有趣,似乎与新的挑战和趋势相一致。
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引用次数: 0
Opportunities of mobile communication systems for applications in last-mile logistics 移动通信系统在最后一英里物流中的应用机会
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568484
O. Petrovic, Michael J. Harnisch, Thomas Puchleitner
Social and technological change introduce major challenges that logistics providers need to face in last-mile logistics. The integration of an end-to-end information flow by utilizing mobile communication systems of the customers within the logistics process, promises to entail a competitive advantage for businesses. The establishment of an interactive communication channel to senders and recipients by utilizing mobile applications is one solution for the realization of an enhanced information flow. Additionally, the integration of innovative delivery solutions at the point of delivery and customer information via systems, which the customers are already accustomed to, also inherits benefits for the logistics provider.
社会和技术变革带来了物流供应商在最后一英里物流中需要面对的主要挑战。通过在物流过程中利用客户的移动通信系统集成端到端的信息流,有望为企业带来竞争优势。利用移动应用程序建立发送方和接收方之间的交互通信渠道是实现增强信息流的一种解决方案。此外,通过系统将交付点的创新交付解决方案与客户已经习惯的客户信息集成在一起,也为物流提供商带来了好处。
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引用次数: 13
Approaches to improve the performance of the collaborative supply chain management: Literature review 提高协同供应链管理绩效的方法:文献综述
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568499
N. H. Taieb, H. Affes
Collaboration has been recognized as a significant process that holds the value creation opportunity in supply chain management. Facing uncertain environments, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of their suppliers and customers. The objective of this study is to give a review of the literature that relates to various approaches to improve the performance in the collaborative supply chain. To achieve this objective, we propose the multi-agent models as relational approaches that improve the communication and interaction between agents and to get them to cooperate and coordinate with each others. Although, this paper does not stop at this level but it extends to raise other factors that lead to improve the performance of a company. Among these factors, new information technologies that play, as far as collaboration, an important role in the logistics network. The use of techniques based on information sharing which are supported by information technologies is fast becoming an indispensable tool for designing and managing complex supply chain systems today.
在供应链管理中,协作已经被认为是一个重要的过程,它掌握着价值创造的机会。面对不确定的环境,企业努力实现更大的供应链协作,以利用其供应商和客户的资源和知识。本研究的目的是对文献进行综述,这些文献涉及改善协同供应链绩效的各种方法。为了实现这一目标,我们提出了多智能体模型作为关系方法,以改善智能体之间的通信和交互,并使它们相互合作和协调。虽然,本文并没有停留在这一层面,但它延伸到提出其他因素,导致提高公司的绩效。在这些因素中,就协作而言,新的信息技术在物流网络中发挥着重要作用。在信息技术的支持下,基于信息共享的技术的使用正迅速成为当今设计和管理复杂供应链系统不可或缺的工具。
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引用次数: 7
Vehicle routing problem with time windows under availability constraints 可用性约束下带时间窗的车辆路径问题
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568477
Amine Dhahri, K. Zidi, K. Ghédira
Disruption Management is an emerging field, where operational research techniques are used to deal with delays in many environments. Yu Gang defines the concept of Disruption Management as in the beginning of an economic cycle an optimal or quasi-optimal plan is obtained by the use of some optimization models. When an original planning is executed, disruptions, which are caused by several internal or external factors, may occur from time to time. As a result, the original planning cannot remain optimal or even Feasible. For this reason, we need to prepare a new revised plan reflecting the constraints and objectives of the evolved environment while minimizing the negative impact of disruption. In this work we present a rescheduling model based on Variable Neighborhood Search methaheuristic for the vehicles routing problem with time windows when one or more vehicles require preventive maintenance activities after the supply of a set of customers.
中断管理是一个新兴领域,在许多环境中使用运筹学技术来处理延迟。于刚将中断管理的概念定义为在一个经济周期的开始,利用一些优化模型得到一个最优或准最优计划。在执行原始计划时,可能会不时发生由若干内部或外部因素引起的中断。因此,最初的规划不能保持最优甚至是可行的。出于这个原因,我们需要准备一个新的修订计划,反映出不断变化的环境的约束和目标,同时最大限度地减少中断的负面影响。本文提出了一种基于变量邻域搜索启发式方法的车辆路径重调度模型,该模型适用于当一辆或多辆车辆在一组客户供应后需要进行预防性维护活动时的有时间窗口车辆路径问题。
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引用次数: 4
A new heuristic development and implementation to a paper cutting problem: Case of AL-Khoutaf Company 剪纸问题的一种新的启发式发展与实现:以AL-Khoutaf公司为例
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568478
Rahma Bouaziz, Slim Kammoun, Wafik Hachicha, H. Chabchoub
This paper deals with the cutting stock problem a well-known problem in operational research and in supply chain management, met frequently in paper and tissues industry. This problem is classified among the NP-hard problems for which, it is difficult to find the optimal solution; indeed the only known method able to solve this kind of problem would be the resolution through heuristic methods. The aim of this paper is the development and the computing implementation of a new heuristic for a specific cutting stock problem, which is evoked by an industrial print company. The objective is to determine the characteristics of reel to be orders while respecting a set of constraints fixed by the manufacturer. In order to validate the performance of the proposed heuristic several critical problems were tested. Huge profits are recognized compared with the current method used by the company. We believe that our solution can help company to make supplying decision automatically in appropriate ways.
本文研究了在运筹学和供应链管理中经常遇到的切料问题。该问题属于难以找到最优解的np困难问题;事实上,唯一已知的能够解决这类问题的方法是通过启发式方法来解决。本文的目的是开发和计算实现一个新的启发式的具体切割库存问题,由一个工业印刷公司。目标是在尊重制造商设定的一组约束条件的同时,确定要订购的卷筒的特性。为了验证启发式算法的性能,对几个关键问题进行了测试。与公司目前使用的方法相比,确认了巨大的利润。我们相信我们的解决方案可以帮助企业以适当的方式自动做出供应决策。
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引用次数: 0
Energy-efficient street lighting through embedded adaptive intelligence 通过嵌入式自适应智能节能街道照明
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568434
S. Lau, G. Merrett, N. White
Streetlights place a heavy demand on electricity usage, providing significant financial and environmental burdens. Consequently, initiatives to reduce energy consumption have been proposed, usually by turning off or dimming the streetlight. In this paper, we propose an adaptive lighting scheme based on traffic sensing, which adaptively adjusts streetlight brightness based on current traffic conditions. The algorithm has been validated through simulation using the SUMO and OMNeT++ tools and, for two different geographical locations, the energy consumption evaluated with respect to traffic speed and volume. The simulation results presented indicate that the proposed lighting scheme can consume up to 30% less energy when compared to the state-of-the-art.
路灯对电力的需求很大,带来了巨大的财政和环境负担。因此,人们提出了减少能源消耗的措施,通常是关闭或调暗路灯。本文提出了一种基于交通感知的自适应照明方案,该方案可以根据当前交通状况自适应调整路灯亮度。该算法已通过使用SUMO和omnet++工具进行仿真验证,并在两个不同的地理位置,根据交通速度和交通量评估了能耗。仿真结果表明,与目前最先进的照明方案相比,所提出的照明方案可节省高达30%的能源。
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引用次数: 38
Measuring the impact of (s, S) ordering policy on the bullwhip effect by means of simulation optimization 采用仿真优化的方法测量(s, s)排序策略对牛鞭效应的影响
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568506
Mouna Derbel, H. Chabchoub, Wafik Hachicha, F. Masmoudi
An important supply chain research problem is the bullwhip effect (BE), which its presence makes supply chain planning difficult. In fact, demand fluctuations increase as one move up the supply chain from retailer to manufacturer. In this paper, a single-stage supply chain for a single-item inventory system is considered. The aim is about how identify the critical parameters that affect BE phenomenon when the retailer employ a (s, S) policy. To investigate and measure this impact, a simulation model is developed using Arena 10 software. A simulation-optimization based-approach is adopted, which combines metamodel through the factorial design experiments and the desirability function approach. Our findings suggest that when we want to reduce the BE, this doesn't mean directly reduce costs. The BE must be introduced in the supply chain management such a constraint not such an objective function (BE must be lower to 1 to have not a bullwhip effect), and the effect of S is always more significant than the effect of s, and it is valid for all studied situations. Otherwise, in a (s, S) policy, the choice of S is more determinant that s, to reduce costs in the supply chains as well BE.
牛鞭效应是供应链研究中的一个重要问题,它的存在给供应链规划带来了困难。事实上,从零售商到制造商,需求波动会随着供应链的上升而增加。本文考虑单品库存系统下的单阶段供应链问题。目的是关于当零售商采用(s, s)策略时,如何识别影响BE现象的关键参数。为了调查和测量这种影响,使用Arena 10软件开发了一个仿真模型。采用基于仿真优化的方法,将析因设计实验的元模型与期望函数方法相结合。我们的研究结果表明,当我们想要降低经济效益时,这并不意味着直接降低成本。在供应链管理中引入BE必须是这样一个约束,而不是这样一个目标函数(BE必须小于1才不会产生牛鞭效应),并且S的效果总是比S的效果更显著,并且对所有研究的情况都有效。否则,在(s, s)策略中,选择s比选择s更具决定性,以降低供应链中的成本。
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引用次数: 2
A generalized framework for ontology-based information retrieval: Application to a public-transportation system 基于本体的信息检索的通用框架:在公共交通系统中的应用
Pub Date : 2013-05-29 DOI: 10.1109/ICAdLT.2013.6568453
Amir Zidi, M. Abed
In this paper we present a generic framework for ontology-based information retrieval. We focus on the recognition of semantic information extracted from data sources and the mapping of this knowledge into ontology. In order to achieve more scalability, we propose an approach for semantic indexing based on entity retrieval model. In addition, we have used ontology of public transportation domain in order to validate these proposals. Finally, we evaluated our system using ontology mapping and real world data sources. Experiments show that our framework can provide meaningful search results.
本文提出了一个基于本体的信息检索的通用框架。我们专注于识别从数据源中提取的语义信息,并将这些知识映射到本体中。为了获得更好的可扩展性,我们提出了一种基于实体检索模型的语义索引方法。此外,为了验证这些建议,我们使用了公共交通领域的本体。最后,我们使用本体映射和真实世界的数据源来评估我们的系统。实验表明,该框架能够提供有意义的搜索结果。
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引用次数: 10
An agent-based Knowledge Discovery from Databases applied in healthcare domain 基于代理的数据库知识发现在医疗保健领域的应用
Pub Date : 2013-05-29 DOI: 10.1109/ICADLT.2013.6568455
Souad Benomrane, Mounir Ben Ayed, A. Alimi
Knowledge Discovery from Databases (KDD) process is complex, iterative and interactive. It takes place several phases. For its implementation, several modules should be developed (module for data storage, module for processing data, data mining module, evaluation module, knowledge management module). The objective of this study is to propose an approach which assimilates every module to an agent. These agents have to communicate and cooperate to help the user to make the most appropriate decision. Thus, The process of KDD can be likened to a Multi-Agent System (MAS). To validate our approach, we have applied a process of KDD for the fight against nosocomial infections within an intensive care unit (ICU) of a University hospital. On a technical level, we have developed a software tool for decision-making support in Java/XML through the agent platform ”Madkit”.
知识库发现(Knowledge Discovery from Databases, KDD)是一个复杂、迭代和交互的过程。它发生在几个阶段。为了实现它,需要开发几个模块(数据存储模块、数据处理模块、数据挖掘模块、评价模块、知识管理模块)。本研究的目的是提出一种将每个模块同化为一个代理的方法。这些代理必须进行通信和合作,以帮助用户做出最合适的决策。因此,KDD的过程可以比作一个多代理系统(MAS)。为了验证我们的方法,我们在一所大学医院的重症监护病房(ICU)内应用了KDD过程来对抗医院感染。在技术层面上,我们通过代理平台Madkit开发了一个基于Java/XML的决策支持软件工具。
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引用次数: 10
期刊
2013 International Conference on Advanced Logistics and Transport
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