加工中心设计方案的一种综合评估方法

在综合应用层次分析法、模糊决策的基础上提出一种方案综合评估方法，在决策过程中将定性分析与定量分析有机地结合起来，统一进行优化、处理而得到的最优结果。最后对加工中心概念设计中所得78个方案进行评估优选。     

基于客户聚类分析的产品概念设计方案评价决策方法

为使产品创新过程中概念设计方案的评价决策充分考虑客户的需求偏好特征,提升客户的综合满意度,提出一种基于客户聚类分析的产品概念设计方案评价决策新方法。该方法首先基于客户对各设计方案的需求偏好信息,通过利用图论工具并对无向图连通子图的输出完成需求偏好相似客户的聚类;其次考虑到产品设计成本与客户满意度之间的矛盾,通过建立客户聚类评价准则确定最佳聚类结果;然后结合优势数分析的方案评价排序方法,实现各客户聚类所对应最优产品概念设计方案的评价决策;最后重点考虑新增客户的快速聚类及需求方案的推荐实现流程。以电冰箱产品创新过程中概念设计方案的评价决策为例,验证了所提方法的可行性和有效性。     

概念设计方案评价的模糊多准则决策模型

提出了一种概念设计方案评估的模糊多准则决策方法,以降低决策者主观偏好以及评估过程中模糊和不确定因素对决策的影响.基于对影响产品竞争力因素的分析,建立了概念设计方案评价的层次结构.建立了概念设计方案评估的模糊多准则决策数学模型,并以三角模糊数代替常规层次分析法中的标度,提出了一种模糊层次分析方法来确定评价体系中各级评价准则的权重,充分考虑多领域专家的意见和产品开发过程的风险性.最后,以应用实例对提出模型的有效性和可行性进行了验证.     

基于属性预测的产品概念设计

针时现有产品次要功能的创新开发,提出了基于属性预测的产品概念设计过程模型.在该模型中,产品经历了从功能域到组态域的转换,同时设计者通过对产品组件和属性进行属性预测操作得到概念设计方案,全面评估各个方案后得到最优解.最后以洗衣机的创新设计为例,验证上述概念设计过程模型的有效性和实用性.     

产品概念设计中的顶层基本骨架模型及其评估方法

在分析产品设计及其过程的基础上,以顶层基本骨架(top basic skeleton,TBS)模型为纽带,建立起由初期的概念设计到后期的详细设计的产品模型,用以支持产品的整个设计过程;并利用基于评价矩阵的模糊综合评价法评估产品概念设计方案,为产品开发过程的建模提供了有益的探索.     

民用无人机概念设计的模糊量化评估体系

民用无人机概念设计的评估是在产品开发初期对概念设计方案进行系统地审查和评价,避免开发的盲目性。基于模糊量化计算的无人机概念设计评估体系设定了两级评估要素及权重值,提出专家评估的模糊性语言量化计算方法,最终获得综合评估值,以便比较和筛选出最优的方案,对民用无人机企业提供一定的参考。     

机械系统概念设计方案评价方法研究

机械系统概念设计方案评价是概念设计中重要的一步,决定着概念设计的成败.概念设计方案评价既有定性指标存在,又有定量指标存在,是一个典型的半结构型的问题,很难从中选出一个最优方案.因此,本文提出了基于工程模糊集理论的评价模型.首先对概念设计方案评价的指标体系进行了层次分析,以指标体系为依据划分了若干个评价单元.将方案系统的整体评价问题转换为一系列基本单元的评价和基本评价单元的综合问题,其次结合工程模糊集理论、模糊识别理论建立方案评价的模糊多级识别模型,通过模糊识别给出了概念设计方案对各个给定级别的相对隶属度矩阵,以此作为方案排序的依据.实践表明,本文所提出的评价方法,符合概念设计评价的特点,是非常有效的评价方法,具有很好的应用前景.     

基于模块化技术的袋装机设计方案评价系统

在对袋装机模块化设计分析的基础上,通过对各种分析评价方法的比较,构建了设计方案模糊综合评价模型.基于该模型,分析了设计方案评价的软件设计流程.最后采用Borland C Builder平台开发了袋装机设计方案评价系统,该系统可对袋装机方案进行成本、结构、适用范围等各方面的评估,帮助设计人员进行袋装机方案模拟、方案决策.     

基于模块化技术的袋装机设计方案评价系统

在对袋装机模块化设计分析的基础上，通过对各种分析评价方法的比较，构建了设计方案模糊综合评价模型。基于该模型，分析了设计方案评价的软件设计流程。最后采用BorlandC＋＋Builder平台开发了袋装机设计方案评价系统，该系统可对袋装机方案进行成本、结构、适用范围等各方面的评估，帮助设计人员进行袋装机方案模拟、方案决策。     

融合设计过程与设计知识的产品概念设计方法

为了开拓设计思路、产生创新产品方案,将设计知识有效融入产品的概念设计过程中,提出一种融合设计过程与设计知识的产品概念设计方法。定义了基于产品—功能—结构的过程模型和知识模型,利用逐层映射行为、回溯映射行为、检索行为和存储行为支持设计过程和设计知识的融合。在产品域,通过基于组合权重的双层灰色关联分析法得到待改进产品的相似产品集;在功能域,使用功能相似度算法和功能操作方法得到新产品功能架构;在结构域,利用形态学矩阵生成多种概念方案,提出基于粗数的逼近理想解排序法,并定义了综合约束指数,对方案进行定性和定量评价、得到最优方案。利用所提方法获得了一种新型美容补水仪的概念方案,从而验证了该方法的可行性。     

支持企业群体决策的一种数据仓库模型

群体决策支持系统是计算机支持的协同工作的重要组成部分,数据仓库提供了对OLAP和决策支持系统的支持.但现今的以数据仓库为基础的决策支持系统大都不能很好地支持决策者之间的协同决策.为更好地支持企业群体决策,给出了一种支持企业群体决策数据仓库的模型(SEGDDWM).该模型以分析企业的不同生产活动为目标,既可以为决策者们的协同决策提供辅助帮助,又可以为决策者们提供面向某个主题的决策服务.由于该模型引入了组合维的概念,不仅大大加快了决策信息查询的速度,而且扩展了单一数据仓库的能力,为决策者们提供统一的协同决策支持平台,也给出了一个零售企业的群组决策过程.     

A general fuzzy TOPSIS model in multiple criteria decision making

Decision making is the process of finding the best option among the feasible alternatives. In classical multiple criteria decision-making (MCDM) methods, the ratings and the weights of the criteria are known precisely. Owning to vagueness of the decision data, the crisp data are inadequate for real-life situations. Since human judgments including preferences are often vague and cannot be expressed by exact numerical values, the application of fuzzy concepts in decision making is deemed to be relevant. In this paper, we proposed the application of a fuzzy distance formula in order to compute a crisp value for the standard deviation of fuzzy data. Then, we use this crisp value of the standard deviation to normalize the fuzzy data using the distance formula again. In our normalization approach, we have enough flexibility to consider various types of fuzzy numbers (such as triangular, trapezoidal, and interval). Finally, we use the technique for order preference by similarity to an ideal solution to determine the ranking order of the alternatives. A numerical example from the literature is solved to demonstrate this applicability of the proposed model. We also compare our proposed approach with similar methods in the literature using some examples with known results and a number of randomly generated test problems. The results point to the applicability of our method and signify its effectiveness in identifying solutions.     

Extension of VIKOR method based on interval-valued fuzzy sets

Decision making is the process of finding the best option among the feasible alternatives. In classical multiple-criteria decision-making (MCDM) methods, the ratings and the weights of the criteria are known precisely. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper, the interval-valued fuzzy VIKOR method is presented, aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy set concepts. For application and verification, this study presents a numerical example and builds a practical maintenance strategy selection problem to verify our proposed method. Moreover, a comparison is made between the interval-valued fuzzy VIKOR and other adapted MCDM interval-valued fuzzy number-based.     

机电一体化产品概念设计的三层模糊优序评价模型

针对概念设计阶段评价指标及重要度不确定、信息模糊、不完整的特点 ,在模糊理论的基础上提出了一个三层模糊优序评价模型 :模糊预序评价模型 ,模糊半优序评价模型 ,模糊全序评价模型。该模型为概念设计的评价提供了一个较为合理的依据。在文章的最后给出了机电产品的一个应用实例。     

A ranking method based on DEA and PROMETHEE II (a rank based on DEA & PR.II)

In this paper we present an integrated Data Envelopment Analysis-Multiple Criteria Decision Aid (DEA-MCDA) model which can be applied to increase the discrimination power of DEA. The aim is to restrict weight values of a DEA model by using tools from MCDA. This model leads to more reasonable inputs/outputs weights while in classic DEA models, some inputs/outputs may be characterized by very low or high weight values. To achieve this goal we use the stability intervals based on PROMETHEE II (Preference Ranking Organization METHod for Enrichment of Evaluations) as weight constraints in DEA. Furthermore, the unicriterion net flow scores matrix is used instead of the initial evaluation matrix. By doing so, we already integrate preferential information in the DEA process. By construction, the best results are compatible with the PROMETHEE II ranking. Additional comparisons with the outputs of other decision making techniques are provided based on two examples.     

虚拟产品方案设计RQ评估模型关键技术研究

产品设计方案RQ评价模型是虚拟原型逼真设计模型实现的重要模块之一,建立RQ评估模型的目的就是要寻求一种满足用户需求的最佳设计方案,本文对用户满意度的计算模型进行了研究,建立了基于神经网络(ANN)的设计方案RQ评估模型,对设计方案的RQ进行评估,该模型已应用于仪表新产品开发决策支持系统中。     

面向生产质量管理的决策支持系统框架

目前质量问题受到企业决策者们的普遍关注。本文根据质量管理方面需要解决的主要问题，给出了面向质量管理的决策支持系统框架。这里利用数据仓库收集和存储决策与分析所需的历史数据，以克服传统在该方面的不足。我们利用随机分析法，确定样本容量法、灵敏度分析、多元线性回归分析和模糊评判矩阵法等为决策者提供支持。最后本文给出ＱＤＳＳ的主控流程。     

基于OLAP技术的企业决策支持系统的一种实现模型

利用IT手段进行决策支持是统计分析、运筹学等数学理论和现代信息技术相结合的产物。近几年发展起来的联机分析处理(OLAP)技术和数据仓库(Data Warehouse)技术进一步促进了决策支持的应用。以一个企业决策支持系统的需求为背景，介绍了利用OLAP技术实现企业决策支持系统的一种模型。     

An integrated decision support system for FMS production planning and scheduling problems

This paper discusses planning and scheduling problems for efficient use of an FMS and presents an integrated decision support system for dealing with these problems.The decision support system, FMSDS (Flexible Manufacturing Systems Decision Support System), includes several modules: data handling module, part selection module, loading module, load adjusting module, scheduling module and simulation module.This paper suggests the solution methodology of each subproblem. Also, an integrated interface scheme between the subproblems is presented. The interface scheme considers the relationships between the subproblems and generates solutions using hierarchical and looping approaches.FMSDS is made up of six alternative models considering three loading objectives and two production order processing strategies. Performance comparison among the six alternatives is shown using the non-terminating simulation techniques.     

An interactive MOLP method for identifying target units in output-oriented DEA models: The NATO enlargement problem

Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient Decision Making Units (DMUs) with multiple inputs and multiple outputs. DEA provides a technical efficiency score for each DMU, a technical efficiency reference set with peer DMUs, and a target for the inefficient DMU. The target unit informs the Decision Maker (DM) of the amount (%) by which an inefficient DMU should decrease its inputs and/or increase its outputs to become efficient. However, the conventional DEA models generally do not consider the DM’s preference structure in identifying the target units. Several equivalence models between the output-oriented DEA and Multiple Objective Linear Programming (MOLP) models have been proposed in the literature to take the DMs’ preferences into consideration. However, these models are not able to identify target units when undesirable outputs are produced with desirable outputs in the production process. In this study we obtain a new link between a BCC model and the weighted minimax reference point of the MOLP formulation that simultaneously and interactively considers the increase in the total desirable outputs and the decrease in the total undesirable outputs. We present a pilot study for the North Atlantic Treaty Organization (NATO) enlargement problem to demonstrate the applicability of the proposed method and exhibit the efficacy of the procedures and algorithms.