An novel approach to supplier selection based on vague sets group decision

In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Besides the fuzzy sets theory, vague sets theory is one of the methods used to deal with uncertain information. Since vague sets can provide more information than fuzzy sets, it is considered superior in mathematical analysis of uncertain information. In this paper, a new approach based on vague sets group decision is proposed to deal with the supplier selection problem in supply chain systems. The work procedure is shown briefly, as follows: First, linguistic values are used to assess the ratings and weights for quantitative or qualitative factors. Second, degree of similarity and probability of vague sets are used to determine the ranking order of all alternatives. Finally, a numerical example of the selection problem of suppliers is shown, to highlight the procedure of the proposed approach, at the end of this paper.     

云计算环境下动态虚拟企业伙伴选择模型

互联网内海量的企业信息检索以及虚拟企业UDDI的搭建和管理已成为中小型企业组建虚拟企业的严重障碍。云计算通过互联网络提供虚拟化的资源计算模式,使企业能够快速部署资源和获取信息服务,从而使中小企业以快速和较低的成本创建企业联盟,争取主导地位成为可能。提出了一种云计算环境下动态虚拟企业伙伴选择模型,采用并行筛选机制降低问题求解空间,实现了中小企业联盟海量伙伴选择和UDDI搭建等问题,并通过实验验证了模型的合理性和可行性。     

虚拟企业伙伴选择的优化算法

虚拟企业伙伴选择及优化是组建虚拟企业的一个关键问题。根据虚拟企业任务之间的关系，该文将虚拟企业伙伴选择问题分解为串行问题、并行问题和混合问题3类，并建立了问题的多目标决策模型，通过候选企业筛选和确定优化组合方案，优化了模型求解过程，并验证了该算法的有效性。     

基于多Agent协商的虚拟企业伙伴选择方法

伙伴选择是虚拟企业建立过程中的核心问题,分析了虚拟企业的特点、虚拟企业环境下协商问题的特点,提出了一个适合于虚拟企业环境的多Agent协商模型。该模型支持多Agent多议题的多轮谈判,并将Agent类型引入到协商中来,作为指导协商Agent提议的一个重要因素。在不完全信息的条件下,应用贝叶斯学习的方法,更新既有信息,并通过分析对方Agent的历史提议序列,推测其类型,来指导自身的提议策略和战术,使自己的提议更具有针对性,避免了盲目性,从而节约协商时间,提高了协商的效率,使得盟主企业能在尽短的时间里寻找到理想的合作伙伴。     

基于可扩展算法库的多Agent社会体系结构

为解决虚拟企业创建过程中的伙伴企业选择的评价标准以及评价算法的应用问题,根据虚拟企业的构建过程中伙伴企业选择问题,以遗传算法为算法库模型算法,给出了一种基于可扩展算法库的多Agent社会体系结构,并举例简述了该体系结构的通信机制,最后给出了一种基于遗传算法的虚拟企业伙伴企业选择算法,该算法的作用是对伙伴选择进行优化.     

需求驱动的虚拟企业合作伙伴选择

针对虚拟企业建立过程中的合作伙伴选择问题,以合作需求为驱动,将粗糙数理论与可拓评价相结合,建立合作伙伴选择的粗糙可拓评价方法.首先,利用质量功能展开法分析企业的合作需求及其重要度,并将其转化为选择决策属性及其重要度,其中采用粗糙数处理分析过程中的不确定语义信息,基于极大熵准则对粗糙质量功能展开进行计算;然后,基于企业的合作需求构建合作伙伴选择粗糙可拓评价方法,从中推荐出最合适的候选企业;最后,通过实例分析与比较验证所提出方法的可行性和有效性.     

虚拟企业伙伴选择方法研究

阐述了虚拟企业伙伴选择在构建虚拟企业中的重要作用,说明了如何构建一个群决策环境下的基于INTER-NET的虚拟企业伙伴选择系统,提出了一种基于层次分析法的虚拟企业伙伴选择的数学方法。并结合供应商伙伴选择问题,给出了一个虚拟企业伙伴选择系统事例。     

虚拟企业伙伴选择的BP神经网络模型研究

针对当前虚拟企业伙伴选择方法存在的不足,提出了虚拟企业合作伙伴选择的BP神经网络模型。文中首先构建了虚拟企业合作伙伴选择评价指标体系,在该体系的基础上,构建了BP神经网络评价模型,并通过MATLAB神经网络工具对其进行模拟计算。最后,给出了一个典型算例。     

基于多AGENT的虚拟企业伙伴选择系统

伙伴选择是虚拟企业建立过程中的核心问题。在基于多agent的虚拟企业体系结构基础上,通过本体驱动的虚拟企业目标体系描述与分解,将虚拟企业伙伴选择问题表示为分布式约束满足和优化问题,并进一步以agent谈判的方式来求解该问题,最终得到优化的伙伴选择方案。本体驱动的虚拟企业目标描述与分解方法,为不同企业之间的谈判提供了通用词汇;用分布式约束满足和优化的方法对问题进行形式化描述,可以为企业之间的谈判提供论域和决策支持。分布式约束满足和优化方法的应用,为解决虚拟企业伙伴选择问题提供了一种新思路。     

An approach to partner selection in agile manufacturing

It is believed that agile manufacturing is the twenty-first century manufacturing enterprise strategy and should be realized by agile virtual enterprise (AVE) which is dynamically configured for the manufacturing of one or more products. Agile manufacturing creates a significant challenge for the partner selection in configuring an AVE. This paper presents a brief introduction to the task decomposition for the manufacturing of a product in multisite environment. A bidding process should be carried out for each task so as to get the information necessary for the configuration of AVE. To minimize the manufacturing cost, an integer programming (IP) formulation is presented for the partner selection problem. The IP formulation is then transformed into a graph-theoretical formulation by taking the advantage of the precedence relationship between the tasks. The graph obtained turns out to be a directed multipartite graph. Based on the graph-theoretical formulation, an efficient solution algorithm is proposed for the problem. It is shown that the algorithm is polynomial bounded. Therefore, it is applicable to large practical problems.     

大规模定制模式下多类型评价信息的多目标生产指派问题

针对大规模定制模式下具有直觉模糊数、三角模糊数、语言评价、区间数等多类型评价信息的多目标生产指派问题,提出一种新的生产指派方法.首先,建立大规模定制模式下满意度评价指标体系;然后,通过计算不同类型的评价信息与负理想点的距离,以及正理想点与负理想点的距离,定义顾客满意度和企业满意度;最后,以顾客满意度最大化和企业满意度最大化为目标,建立多目标生产指派优化模型,并通过求解生产指派模型得到生产指派结果.最后通过一个算例验证所提生产指派方法的可行性和有效性.     

Tree index of uncertain graphs

With the development of system complexity, a variety of nondeterministic information is frequently encountered in networks. To deal with the nondeterministic information, uncertainty theory is proposed as a powerful tool. Within the framework of uncertainty theory, in this paper, a concept of tree index of uncertain graph is proposed. It also gives a method to calculate tree index of uncertain graphs. Moreover, the tree index of uncertain cycle and the path index of uncertain graphs are proposed and analyzed in a similar way.     

Internal pricing strategies design and simulation in virtual enterprise formation

A virtual enterprise (VE) is an organization intended to cope with the rapidly changing manufacturing environment. Organization building is important in virtual domains because it has largely been affecting the success of VEs. However, the process of forming a VE is based on self-determination by the participants. This paper adopts a bargaining model under a scenario of incomplete information to formalize the formation process, considers the characteristics of the VE formation process, presents the pricing strategies for the corresponding bargaining, and verifies the correctness and validity of the pricing strategies using computer simulation. This paper breaks through the relative research that compares the formation process with partner selection from the core enterprise’s perspective and also provides the basis for the intelligent information platform of VE, whose key part is pricing software.     

Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise

To cope with the rapidly changing manufacturing environment, enterprise collaboration is getting increasingly more attention than ever before. The virtual enterprise (VE) is a concept that supports temporary alliances of manufacturing enterprises that have various collaboration models, such as extended enterprise, networked enterprise, concurrent enterprise, etc. Selection of trustworthy partners and trust building are important in virtual domains because they have largely been affecting the success of a VE. However, because of its complexity of trust, trust models in the literature are limited in their ability to cope with dynamic and virtual environment. In this paper, we propose a trust evaluation method of supporting enterprise collaboration and maximizing the satisfaction of cooperation. In this context, trust means the goal achievement probability. Trust value of an enterprise can be obtained by a fuzzy inference system whose rule-base is based on the top-level goal of a VE. According to the selector’s preference, various rules can be applied to trust evaluation. For further study, the planning and scheduling problems should be considered along with the trust-based partner selection for collaboration among manufacturing enterprises.     

Decision supporting functionality in a virtual enterprise network

Enterprises are now facing growing global competition and the continual success in the marketplace depends very much on how efficient and effective the companies are able to respond to customer demands. The Internet has provided a powerful tool to link up manufacturers, suppliers and consumers to facilitate the bi-directional interchange of useful information. The formation of virtual enterprise network is gathering momentum to meet this challenge. The idea of virtual enterprise network is meant to establish a dynamic organization by the synergetic combination of dissimilar companies with different core competencies, thereby forming a “best of everything” consortium to perform a given business project to achieve maximum degree of customer satisfaction. In this emerging business model of virtual enterprise network, the decision support functionality, which addresses the issues such as selection of business partners, coordination in the distribution of production processes and the prediction of production problems, is an important domain to be studied. This paper attempts to introduce a Neural On-Line Analytical Processing System (NOLAPS), which is able to contribute to the creation of decision support functionality in a virtual enterprise network. NOLAPS is equipped with two main technologies for achieving various objectives, including neural network for extrapolating probable outcomes based on available pattern of events and data mining for converting complex data into useful corporate information. A case example is also covered to validate the feasibility of the adoption of NOLAPS in real industrial situations.     

用GA 求解动态联盟中伙伴选择的多目标优化模型

描述了动态联盟中的伙伴选择问题，针对以活动网络形式组织的项目，建立伙伴选择的多目标优化模型，实现项目失败风险最小化和项目费用与拖期惩罚总额最小化，并利用带自适应移动线技术的遗传算法，求得问题的整个非劣解集合或近似集合。计算结果证明了算法的有效性和模型的实用性。     

集对优势关系下多粒度决策粗糙集的可变三支决策模型

多粒度决策粗糙集是从多角度来处理不确定数据和风险决策问题的重要模型.针对不完备信息系统下的决策分析问题,在多粒度决策粗糙集中引入集对优势关系,对优势度进行了改进,使结果更加合理.然后对多粒度近似空间进行了拓展,提出了集对优势关系下的乐观、悲观、均值、乐观-悲观和悲观-乐观5种多粒度决策粗糙集模型,并讨论了其相关性质以及...     

Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making

The q‐rung orthopair fuzzy sets (q‐ROFs) are an important way to express uncertain information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy sets. Their eminent characteristic is that the sum of the qth power of the membership degree and the qth power of the degrees of non‐membership is equal to or less than 1, so the space of uncertain information they can describe is broader. Under these environments, we propose the q‐rung orthopair fuzzy weighted averaging operator and the q‐rung orthopair fuzzy weighted geometric operator to deal with the decision information, and their some properties are well proved. Further, based on these operators, we presented two new methods to deal with the multi‐attribute decision making problems under the fuzzy environment. Finally, we used some practical examples to illustrate the validity and superiority of the proposed method by comparing with other existing methods.     

模糊多属性决策的相似接近度解法

首先对模糊集合的3种接近度测度,即海明距离、模糊贴近度和灰色关联度进行讨论,在此基础上提出了相似接近度的概念,运用模糊满意度的概念建立了模糊多属性决策的数学模型,其次将相似接近度的概念应用于该模型,提出了该模型的一个新的解法;最后通过数值算例表明,该方法不但十分有效,而且物理意义和数学意义明确,模糊贴近度、灰色关联度和相对接近度解法都是该方法的特例．     

基于多智能体的虚拟企业群协同生产调度模式研究

为了实现虚拟企业群的协同生产调度, 提高企业群整体运作水平, 建立了基于多智能体的虚拟企业群制造企业生产调度模型, 分析了生产计划调度及信息交互作用。在企业协同层, 提出了基于多目标和价格协商的供应商选择过程, 确定了合作伙伴的初选过程方法, 企业层采用了基于EDD+SCR规则组合确定企业任务分配, 并为所有订单任务确定交货期, 各车间层则根据企业层的生产计划进行车间生产调度安排。最后, 运用Swarm仿真软件平台对案例进行仿真分析, 验证了提出的生产调度模式可以有效提高各企业的车间负载率, 并使车间负载率在短时间内达到稳定状态, 从而合理有效地利用企业资源。