支持物料追踪的物流管理模型*

为解决离散企业物流管理及其过程中的相关质量问题,分析了离散企业的物流过程,提出了支持物料追踪的物流管理模型;针对企业物流管理系统中各业务单据信息完整性,提出了基于完整信息的物料追踪算法、基于不完整信息的物料追踪算法。最后通过实例介绍,证明了该模型与算法的可行性,它能够实现物料的追踪,提高企业的物流管理水平。     

企业核心竞争力的Web挖掘研究

介绍了虚拟企业、企业核心竞争力的概念,分析了企业核心竞争力信息在虚拟企业合作伙伴选择过程中的重要性,提出了一种企业核心竞争力信息的Web挖掘模型,并给出了企业核心竞争力信息Web特征提取的算法,最后,取得了良好的结果.     

一种面向服务、事件驱动的企业应用动态联盟构造方法

提出了一种面向服务、事件驱动的企业应用动态联盟构造方法,旨在应对企业动态联盟中合作伙伴的动态选择和自主加入带来的信息系统动态集成问题．该方法通过业务事件表达联盟成员之间的业务需求,在各企业信息系统之间搭建了语义互通的桥梁;同时将基于主题和内容的事件发布／订阅机制引入其中,给出了基于订阅方式的合作伙伴及服务查找算法,以解决潜在合作伙伴的准确和动态查找问题;在合作伙伴的选择方面,通过基于协商的方式解决了联盟成员的自主加入问题．文中讨论了该方法的核心概念、工作原理以及相应的合作伙伴查找算法．给出了基于JMS消息服务以及消息队列服务的具体实现．该方法在某企业的动态供应链管理系统中得到了实际应用．     

虚拟软件企业合作伙伴选择多智能体仿真研究

虚拟软件企业能否成功很大程度上取决于其组建过程,而组建过程中关键的环节是选择合适的合作伙伴。因此将虚拟软件企业合作伙伴选择问题作为研究对象,分析了其微观作用机制,采用多智能体建模与仿真方法,建立了合作伙伴选择多智能体模型,设计了相应的仿真实验,研究了不同决策目标下的合作伙伴选择机制。研究表明,成本最低法、工期最短法和质量最优法这3种单目标决策方法能够达到各种决策目标的最优化,但是稳定性较差;综合最佳法这种多目标决策方法能够实现软件项目总工期和总质量之间的平衡,并且稳定性较好。     

基于改进遗传算法在货运物流中的应用研究

物流企业中车辆路径选择规划问题(VRP)是一个典型的NP难问题。为了解决这类问题,启发式算法被提出。现代启发式优化算法中的遗传算法是解决货运物流运输车辆问题的有效算法。本文详细研究了遗传算法在货运物流中的应用,结合实际建立了合适的VRP数学模型,提出了解决该问题的改进遗传算法,并对该算法进行了详细的讨论。     

电子商务物流企业选择的TOPSIS改进算法

本文针对电子商务物流企业选择的问题,提出一种结合信息熵、AHP以及TOPSIS的改进算法,将定性和定量两方面的分析方法相结合,既包含了物流企业的既往表现数据,又结合了用户的个性化需求,并通过实验数据证明了该改进算法的可行性,还可以用于多目标决策等方面。     

第三方物流中货物需求量的灰色模型预测及应用

针对第三方物流系统中的各种资源利用率不高而导致的高成本、低收益等问题,提出了通过对货物需求量进行预测来提前对各种资源作合理的安排,从而提高物流企业效率的想法。由于物流企业及其货物历史数据较少,而灰色理论预测对于原始数据需求量也较少,因此采用GM(1,1)模型来进行年和月需求量的预测。通过实例并与其它算法进行比较分析,验证了该算法在物流需求量预测中的可行性。文章最后给出了该算法在杭州富日物流公司的智能信息协作平台上的应用示例。     

基于免疫遗传算法的敏捷供应链伙伴选择

伙伴选择是在组建敏捷供应链过程中的关键问题,主要研究如何在众多候选企业中选择合作伙伴组成最优敏捷供应链。论文引入免疫遗传来解决这一问题,提出了一种基于免疫遗传的敏捷供应链伙伴选择算法,其免疫机制较好地避免了算法的“早熟”,改善了算法的全局搜索性能,提高了收敛速度。最后以一个典型算例说明了该算法的有效性。     

采用虚拟专用网实现远程宽带访问

概述 随着企业网应用行业的不断拓展,企业网的覆盖范围也不断扩大。业务范围跨地区、跨城市,甚至是跨国家的企业要建立企业网,采用传统的广域网,需要租用昂贵的跨地区数字专线,在经济上是难以承受的。利用现有的公众信息网,来建立企业的专有网络以保证企业信息传输的安全性,虚拟专用网(VPN)不失为企业建网的一种良好选择。 VPN可以划分为虚拟企业网(Intranet VPN——企业内部虚拟网、Extranet VPN——企业扩展虚拟网)和虚拟专用拨号网(Access VPN—远程访问虚拟网)。虚拟企业网主要是指使用专线上网的企业分部、合作伙伴间的虚拟专网;虚拟专用拨号网络是指远程用户与企业网间的虚拟专网。     

求解合作伙伴选择问题的高效蚁群算法

敏捷制造中的合作伙伴优化选择问题属于组合优化领域的NP-hard问题,随着规模的增大,应用传统的方法求解非常困难,甚至不可能.对敏捷制造中的合作伙伴选择问题进行了分析,建立了数学模型,设计了一个适合求解该问题的蚁群算法.实验结果表明,该算法求解效率高,性能稳定.     

Cloud-based ubiquitous object sharing platform for heterogeneous logistics system integration

The intelligence of infrastructure gradually becomes the straw for logistics enterprises to make data-based or date-driven optimization. The integration of heterogeneous logistics systems with existing enterprise information systems is one of the most critical steps to achieve the intelligent infrastructure. Unfortunately, the integration is always a time-consuming process with heavy investment, which suppresses the longings of enterprises, especially for small and medium enterprises (SMEs). Aiming at simplifying the system integration, this paper proposed a cloud-based ubiquitous object sharing platform (CUOSP) to share the integration across SMEs based on the concept of sharing economy. CUOSP acts as a middleware system to make heterogeneous logistics systems universal plug-and-play (UPnP) for enterprise information systems. A kernel-based agent (KBA) is designed as the sharing entity of physical systems. It maintains the features of physical systems and is scalable for different application scenarios. A series of cloud gateway services are emerged not only to provide the basic running and sharing environment, but also to remedy KBA’s weaknesses in computing capacity. A prototype system is developed and implemented based on the framework of CUOSP and a laboratory case according to the consolidation scenario in E-commerce logistics is demonstrated. Comparison experiments are also conducted to explore the real-time and multitasking capacity of KBAs with different kernel characteristics and different computing resources.     

Agent-based optimisation of logistics and production planning

Manufacturing and logistics service provision enterprises are currently moving towards open virtual enterprise collaboration networks to meet the needs of the Global Economy. In such networks, manufacturing and logistics planning and scheduling is challenging due to the difficulties in integrating information from different partners and in exploring a large and dynamically changing number of planning and scheduling alternatives. Agent-based technology is considered suitable to support planning and scheduling in such enterprises because agents can dynamically adapt their behaviour to changing requirements and they can reduce the number of planning and scheduling alternatives via negotiation.This paper presents an agent-based approach for supporting logistics and production planning, taking into account not only production schedules but also availability and cost of logistic service providers. This is achieved through efficient negotiation mechanisms based on an extended contracting protocol. The agent infrastructure is being developed within the context of Agentcities, a successful EU-funded initiative to build a world-wide distributed and open platform which provides agent-based services.The proposed approach is illustrated in a case study concerning optimisation of production planning of a virtual manufacturing enterprise in relation to sub-contracted logistic services used to transport materials between the enterprise units.     

Pythagorean fuzzy combined compromise solution method integrating the cumulative prospect theory and combined weights for cold chain logistics distribution center selection

The evaluation and selection of cold chain logistics distribution centers are of vital importance for third-party logistics companies which want to build green cold chain logistics networks. To select distribution centers, the conflicts among multiple criteria should be considered. The combined compromise solutions (CoCoSo) method can help enterprises make a structural decision; however, in the original CoCoSo method, the evaluation information was expressed by crisp numbers. Nevertheless, in many cases, because of the imprecision and incompleteness of information, it may be more flexible for evaluators to provide imprecise and fuzzy values rather than crisp numbers. In addition, the judgment values are often expressed based on decision-makers' psychological expectations. The evaluation criteria of alternatives have relevance to some extent, which would influence the evaluation results. Based on these concerns, this study presents a modified CoCoSo method in the Pythagorean fuzzy environment in which evaluators can express psychological expectations on alternatives. To achieve this goal, the cumulative prospect theory is introduced to obtain the Pythagorean fuzzy prospect weights. Then, an objective weight determination method of criteria under the Pythagorean fuzzy environment is proposed to eliminate the influence of homogeneity of criteria. Based on the Pythagorean fuzzy prospect weights and the combined weights, the original CoCoSo method is extended to the Pythagorean fuzzy environment. A case of selection logistics distribution center is investigated to demonstrate the practicality of the proposed method. The advantages of the proposed method are verified by comparative analysis.     

省级物流信息平台的规划研究

物流信息平台是以服务物流为主要目的的网络信息交互平台及相关业务系统的综合信息服务平台。它通过提供基础平台建立合作机制,对物流相关行业的信息进行融合,实现行业主管部门与企业、企业与企业间计算机业务系统的信息交换;同时,它可促进行业协同运作,提高工作效率,降低作业成本,为行业管理部门提供信息支持,为平台的使用者提供一体化的物流信息服务。     

仓储系统与分销系统间EDI接口设计

该文以生产企业物流系统为研究对象,在分析其系统结构的基础上,将仓储及分销管理系统有机结合,提出了第三方物流EDI系统,为物流企业提供了更加详尽的信息、资源,使物流业能迅速对市场变化作出反映,并及时作出调整。     

A 3PL supplier selection model based on fuzzy sets

Outsourcing is an increasingly important task pursued by enterprises seeking improved efficiency. Logistics outsourcing, or third-party logistics (3PL), involves the use of external companies to perform some or all of the firm's logistics activities. In this paper, through analyzing the features and role of third-party logistics, for 3PL provider selection, we propose an indicator system and a method for data integration. We also establish a comprehensive evaluation model for 3PL suppliers based on fuzzy sets; furthermore, we propose a compound quantification model based on centralized quantification values, a comparison method based on the synthesis effect, and a 3PL supplier selection model. A real-world case analysis is provided. The results show that the proposed 3PL supplier selection model can effectively integrate decision preferences into decision processes.     

仓储系统与分销系统间EDI接口设计

该文以生产企业物流系统为研究对象,在分析其系统结构的基础上,将仓储及分销管理系统有机结合,提出了第三方物流EDI系统,为物流企业提供了更加详尽的信息、资源,使物流业能迅速对市场变化作出反映,并及时作出调整。     

铁路物流企业信息平台的研究与构建

相比其他物流企业,铁路物流企业更需要建立信息平台来增强物流业务的整合能力,准确掌握运输生产信息,并充分共享铁路运输管理信息系统(TMIS)提供的具有核心竞争力的资源。结合现代物流信息系统理论,针对铁路物流企业的特点,研究并构建了铁路物流企业信息平台,对该平台的系统结构、逻辑结构和网络结构等进行了详细设计和实现。     

虚拟企业伙伴选择的粗糙集方法

将粗糙集理论应用于虚拟企业合作伙伴选择中,提出了基于粗糙集理论的虚拟企业伙伴选择的模型和方法.该方法根据各潜在伙伴企业的样本数据集建立决策系统,以伙伴选择的评价指标作为属性,从中挖掘出反映评价指标本质关系的重要属性以及伙伴选择知识规则.这些规则很好地描述了有限样本中所反映出的属性之间的本质特征,运用这些规则可对伙伴选择数据库中的其他样本有效地进行伙伴选择.应用实例表明,该方法是正确有效的.