基于编码方式的伙伴选择与优化模型——毕业设计中的科研实践

文章介绍在虚拟企业在构建过程中，如何使用基于编码方式的模型对虚拟企业的合作伙伴进行选择与优化；并对建立在编码基础上的简易伙伴选择算法进行了仿真。     

面向产品生命周期的虚拟企业综合决策研究

考虑产品市场生命周期各阶段企业目标变化,结合虚拟企业的特征,建立了定量和定性指标相结合的初选、优选和优化组合三个过程的动态评价指标体系;采用多彩色集合理论初选、综合评价方法优选和蚁群算法优化组合的方法,构建了考虑产品引入期、成长期、成熟期、衰退期不同需求的虚拟企业合作伙伴选择评价模型;搭建了模型系统,通过调整评价指标实现不同时期伙伴企业的重新组合;最后,通过系统运行代替实例计算过程验证了模型,另外还进行了MATLAB模型仿真,结果表明,评价模型收敛速度提升约一倍。     

一种基于聚类分析与熵权模糊评价的虚拟企业综合决策算法研究

针对虚拟企业管理的核心——合作伙伴选择,建立了三阶段评价模型,并筛选了以企业研发能力为核心的综合评价指标体系;提出了基于聚类分析法的合作伙伴初选算法,并将基于熵权的模糊AHP综合算法应用在合作伙伴的综合评价中。结合某企业实例,验证了算法的适用性和优越性。最后,采用B/S体系结构等技术开发了Web环境下的虚拟企业合作伙伴选择管理支持系统。通过运行显示了系统的可靠性,同时提高了虚拟企业合作伙伴选择的效率。     

绿色包装虚拟企业信息集成平台及关键技术研究

根据包装虚拟企业和绿色制造的特点,提出绿色包装虚拟企业的概念,建立起绿色包装虚拟企业的信息体系结构,并对绿色虚拟企业合作伙伴的绿色评价及优化选择、绿色包装产品的异地设计与绿色评价、绿色管理与控制等关键技术进行了深入研究.     

虚拟企业设计合作伙伴选择模型及其应用

在分析虚拟企业设计合作伙伴选择研究现状的基础上,针对我国传统制造企业技术创新存在的问题,提出了虚拟企业设计合作伙伴选择过程模型;探讨了虚拟企业设计合作伙伴评价的准则,确定了虚拟企业设计合作伙伴评价指标体系;设计了虚拟企业设计合作伙伴三阶段、四步骤评价模型及设计合作伙伴筛选方案,并结合筑路机械行业某制造企业的实际,进行了其虚拟企业设计合作伙伴筛选实证研究,提出了相关实施建议.     

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。     

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。     

基于任务分解结构的虚拟企业构建过程研究

提出一种基于任务分解结构的虚拟企业构建过程框架,包括市场机遇识别,总体目标任务确定、分解和分析,伙伴企业优化选择3个阶段.对该过程框架中各个阶段以及实现技术进行了讨论.后给出一个实例以验证基于任务分解结构的虚拟企业构建过程框架和实现技术的有效性.     

云时代下虚拟企业的生产计划与控制

经济全球化、一体化给企业带来机遇的同时也带来了巨大的挑战,云技术具有超大规模、虚拟化、可靠安全等特点。因此,通过对虚拟企业生产模式的深入分析,建立云平台下虚拟企业生产计划与控制模型,并论述盟主与盟员企业协商与协作的方法,为云平台下虚拟企业项目管理系统的实现提供了依据。     

基于Web的虚拟企业知识管理系统研究

将虚拟企业的本质视为成员知识联盟,在对虚拟企业知识创造的动态过程和知识转移方式进行了阐述的基础上,构建了虚拟企业的知识管理平台,进而提出了基于Web的虚拟企业知识管理系统的模型框架;模型的核心是知识的产生、分享、应用和创新.该模型符合网络化建模的趋势,并考虑到了虚拟企业的企业文化和组织结构等环境因素对知识管理的支持,通过各种分析工具增强知识创新能力,达到在不确定竞争环境下提升虚拟企业竞争力的目的.     

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.     

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.     

基于质量监理的敏捷虚拟企业质量管理机制研究

敏捷虚拟企业是一种组织松散的多企业动态联盟,质量管理是其必须解决的关键问题之一。本文引入了质量监理的概念,深入探讨了以质量监理小组为核心的敏捷虚拟企业质量管理要制为敏捷虚拟企业的质量保证,质量协调与质量创新了一种较好的组织模式。     

Design and implementation of a virtual information system for agile manufacturing

In the new and emerging agile manufacturing paradigm, where multiple firms cooperate under flexible virtual enterprise structures, there exists a great need for a mechanism to manage and control information flow among collaborating partners. In response to this pressing need, this paper addresses the design and implementation of an agile manufacturing information system integrating manufacturing databases dispersed at various partner sites. We propose a framework in which: (1) information is modeled in a hierarchical fashion using object-oriented methodology (OOM); (2) information transactions are specified by the workflow hierarchy consisting of partner workflows; (3) information flow between partners is controlled by a set of distributed workflow managers (WM) interacting with partner knowledge bases, which reflect partner specific information control rules on internal data exchange, as well as inter-partner mutual protocols for joint partner communications; (4) the prototype system is accomplished using the World Wide Web based on a client-server architecture. The overall approach and system provides within a dynamic environment, where virtual partnerships are synthesized in response to specific business initiatives, a dynamic and flexible mechanism to support partner information exchange and to keep the dispersed information consistent.     

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.     

敏捷虚拟企业环境下企业管理模式重构研究

在敏捷虚拟企业环境下 ,企业传统的管理模式显示出很大的局限性 ,需要进行重组。从企业的经营过程、技术、组织结构、文化和人因等多方面分析了企业管理模式重构的内涵 ,提出了一种基于活动链的企业过程缺陷分析方法 ,给出了进行过程结构优化的ESIA原则 ,开发了一套企业过程仿真系统对企业过程进行优化与评价 ,在此基础上 ,提出了一种敏捷虚拟组织的重构模型 ,为企业适应动态联盟的管理需要提供了必要的重构指导。     

优度评价法在物流联盟成员选择中的应用

正确评价和选择联盟成员是保证物流联盟稳定性的前提.以货代型物流企业选择工艺型物流企业为例,设计了工艺型物流企业的指标体系,建立了物流联盟成员选择的评价模型,并通过一个示例进一步说明了方法的应用.