制造企业供应链伙伴选择的一种多属性决策模型

在分析了制造企业供应链伙伴选择指标体系的基础上建立了伙伴选择的模型,提出了一种基于TOPSIS和信息熵的伙伴选择方法,从而为解决制造企业供应链伙伴选择混合多属性决策问题提供了一条新的途径。通过实例表明了该决策方法的可行性和有效性。     

不同供应链决策模式下的交货时间问题

在一个经典供应链模型基础上,分析了同一行业背景下的3种不同决策模式下的供应链企业交货时间,得出3种决策模式下的最优交货时间,它们不受决策模式的影响.通过对最优交货时间的研究,给出企业在供应链决策中和选择上应注意的问题.     

集成供应链企业合作创新伙伴动态选择研究

集成供应链是一种建立在相互信赖基础上比较稳定、持久的伙伴间合作关系,在合作创新过程中,选择合适的合作创新伙伴是保证集成供应链企业间创新的关键。针对集成供应链伙伴动态选择问题,在引入基于时间度和前景理论的直觉模糊妥协评价模型基础上,考虑了合作创新资源互补性,运用场理论构建了伙伴动态选择的合作创新能力场模型,设计了伙伴进入、退出联盟的阈值,形成了集成供应链伙伴动态选择,进一步对伙伴进行动态选择和淘汰。结合企业实例,验证了该动态选择决策方法的适用性和优越性。     

基于竞争力的企业合作伙伴选择的灰局势决策

给出了灰局势决策的原理与方法,介绍了不同极性目标的效果测度变换方法,提出了基于竞争力的企业合作伙伴选择的评价指标,得出了基于企业竞争力评价的合作伙伴选择的一般步骤,建立了决策模型。     

基于流程的虚拟物流企业伙伴选择模型

虚拟物流企业的伙伴选择是虚拟物流企业构建中的重点与难点.通过分析虚拟物流企业的本质,描述了虚拟物流企业伙伴选择过程,建立了基于流程的虚拟物流企业伙伴选择模型,采用改进最短路算法对模型进行求解,并给出了测试算例.测试算例表明,该模型具有较好的合理性.     

基于协作任务的合作企业选择与评价

在基于因特网的敏捷制造环境下，当企业在网上发布了协作任务，如何从备选的企业中选择出最优伙伴成为网络协作制造的一个关键问题。本文结合实际情况，利用模糊数的概念，采用了扩展的层次分析法分析了基于协作任务的合作伙伴选择评价模型，并给出了一个多目标决策的数学优化模型。     

主观经验决策与决策行为分析

分析了决策者的决策风格、决策准则、处理目标冲突的态度和方式等主观因素对企业决策的影响，分析了计量决策方法应用于不确定型决策存在的问题和提高主观经验决策质量的途径，提出了用效用曲线模拟决策专家的决策风络和准则进行决策的设想     

组织决策的作用空间研究

该研究从宏观工效学理论出发，对４５家企业４７５名中类管理人员进行了有关企业新产品开发的决策和决策策略的研究，根据所得材料，提出了组织决策的作用空间这一概念，并指出组织决策的作用空间的若干性质。这一概念是否能恰当地描述其它不同种类的企业决策，还有待于将来进一步深入探讨。     

基于多维质量屋的企业合作决策方法

为解决企业合作战略实施过程中的大量分布式群决策问题,在分析企业合作动因基础上,提出一种集成多决策代理的质量屋求解、加权集成群决策结果的多维质量屋决策模型.该模型通过扩展传统质量功能配置(QFD),依据专业领域划分相对独立的决策代理,面向各代理构建出一系列平面质量屋;通过代理置信度加权方法集成多质量屋的求解结果,获得群决策综合结果.最后给出了该决策方法的应用案例.     

项目投标决策支持系统研究

据投标的实际流程，从投标的全过程出发，利用预测理论、决策理论、对策理论和计算机技术等开发了项目投标决策支持系统PBDSS，并系统介绍了PBDSS的结构、功能、实现技术和应用。PBDSS可在施工企业投标工作的信息咨询、项目选择、总价制定、报价内部调整及标书生成等方面发挥辅助决策的作用。     

信息不完全条件下虚拟企业合作伙伴选择的多维决策模型

选择适当的合作伙伴是虚拟企业成功运作关键。针对目前虚拟企业合作伙伴选择方面研究的不足,提出了基于区间相离度的信息不完全条件下虚拟企业合作伙伴选择的模糊优选模型．及基于风险因子的虚拟企业合作伙伴选择的模糊决策模型。最后进行实例分析,实例表明两种模型得到的结果基本一致。     

Genetic algorithm for collaboration cost optimization-oriented partner selection in virtual enterprises

Partner selection is a key step to organize a well-designed virtual enterprise in which collaboration cost between partners is considered to be one of the most important performance indicators that influence the run-time efficiency of virtual enterprise. However, in current solutions there is usually a lack of precise and comprehensive considerations on the collaborations, which makes the selection results not optimal enough. The paper elaborately analyses various collaboration patterns between distributed partners with the corresponding evaluation metrics for collaboration time and cost. A genetic algorithm solution for collaboration cost optimization-oriented partner selection is then developed. The performance of this algorithm is demonstrated by a case, and the results of this trial demonstrate the real life capability of the algorithm.     

基于模糊综合评价法的集群企业合作伙伴选择

针对集群企业协同竞争的特点,对集群企业合作伙伴选择的原则及由此产生的评价指标体系进行深入的分析和研究,并运用模糊综合评价方法对集群企业合作伙伴进行评价,为集群企业寻找和选择良好的加盟企业作为合作伙伴提供了理论依据.     

基于F-AHP的配送中心动态联盟伙伴选择研究

合作伙伴的选择对配送中心动态联盟起着至关重要的作用,为了快速选择合适的合作伙伴,提出了基于梯形模糊数的F AHP法和(0-1)整数规划相结合的方法。该方法既克服了遗传算法等算法数据收集复杂,操作不便的缺陷,又解决了AHP法忽略了伙伴选择时固有的模糊性和不确定性以及各企业衔接起来的成本的问题,使得伙伴选择既合理又操作简便。     

敏捷虚拟企业的集成后勤支持系统

在制造企业致力于快速地向用户提供高质量、低成本的产品以及提供优质的服务以赢得市场竞争的今天,后勤在制造系统中具有越来越重要的作用。阐述了后勤概念的发展过程,提出了敏捷虚拟企业的集成后主要分析了敏捷虚拟企业盟主、各合作伙伴以及客户之间的物料流和信息流,建立了敏捷虚拟珠集成后勤环境和敏捷虚拟企业盟主、合作伙伴的集成后勤支持系统。     

Manufacturing system engineering ontology for semantic interoperability across extended project teams

Communication, knowledge sharing and awareness of available expertise are complex issues for any multidiscipline team. Complexity increases substantially in extended enterprise environments. The concepts of an MSE Moderator have previously been considered in environments with shared information models and vocabularies. These concepts are now translated to the realm of extended enterprises, where inevitably, individual partners will have their own terminology and information sources. An MSE Ontology is proposed to enable the operation of an extended enterprise MSE Moderator to provide common understanding of manufacturing-related terms, and therefore to enhance the semantic interoperability and reuse of knowledge resources within globally extended manufacturing teams.     

虚拟企业管理中伙伴选择问题的数学模型

虚拟企业能够快速适应市场变化并能更有效地共享合作伙伴的资源,因此它正在成为越来越重要的组织管理单位。虚拟企业管理中的伙伴选择问题广泛出现在诸如企业动态结盟、任务指派、投资组合、敏捷制造和供应链管理等领域。本文建立了虚拟企业管理中伙伴选择问题的一个0-1规划数学模型。该模型涉及项目施工的先后次序和项目资金的动态支付,所建立的模型符合工程实际。它是进一步分析和解决伙伴选择问题的基础。     

An adaptive quantum swarm evolutionary algorithm for partner selection in virtual enterprise

The selection of cooperative partners is one of the most important factors when creating a virtual enterprise, and has been extensively researched in recent years. It is difficult to solve the selection problem using the traditional optimisation methods because the simultaneous consideration of many aspects of the problem is required, such as the running cost, the reaction time and the running risk. In this paper, an adaptive quantum swarm evolutionary algorithm with time-varying acceleration coefficients is proposed for the partner selection optimisation problem. Simulation and experimental results demonstrate that the improved algorithm is valid and outperforms other evolutionary algorithms.     

Concurrent process planning and scheduling in distributed virtual manufacturing

With the fast development of the world economy, distributed virtual manufacturing is becoming increasingly important since it can respond rapidly to market changes and make resource sharing more efficient among manufacturing partners. In this environment, partners may be located at different geographical locations, and co-operation among partners is a vital task and thus concurrent planning and scheduling has become a challenging research topic. This paper presents a computerized model that can integrate these manufacturing functions and resolve some of the critical problems in distributed virtual manufacturing, such as virtual cooperation, optimal partner selection, etc. This integration model is realized through a multi-agent approach that provides a practical approach for software integration in a distributed environment. A cost function is proposed and adopted for optimal partner selection in a virtual enterprise, which not only considers a partner's manufacturing capability and process requirements, but also the processing time, partner's location and product due date. Through establishing a virtual manufacturing model in a simulated environment, the proposal was validated with a case study. It shows that the proposed methodology can satisfy the distribution and agility requirements. This approach is able to contribute to the reduction of product cost, improving product quality and shortening lead time, compared to the sequential approach in the normal engineering and production practice.     

Development of an XML-based structural product retrieval system for virtual enterprises

A single company cannot survive in today's global business environment without collaborating with others. A virtual enterprise is good practice for sharing core resources, experiences and information between companies with the same business goal. Through sharing product information, a company can prevent unnecessary spending in developing similar products that already exist. Although some attempts have been made to facilitate product searches, these methods are typically not suitable for structural product searches under virtual enterprise environments. In this work, an XML (eXtensible Markup Language) based structural product retrieval system for virtual enterprises is proposed to conquer this deficiency. A structural product is first transformed into component strings using a structure parsing algorithm. The structural similarity measurement between a product query and target product is designated and evaluated using a component matching algorithm and fuzzy mode composition. XML technology is used as the data exchange standard so that variant product information can be exchanged smoothly among heterogeneous database platforms. A comparison with a general Boolean search approach shows that the proposed structural search method can help users find desired product information more quickly and correctly. It is believed that virtual enterprise partners can benefit from using this system to increase their competitive advantage.