生产过程质量评价模型的研究

应用经典的基于不可分辨关系的粗集理论对实际生产过程的监测数据进行处理，分析，并以此对生产过程质量进行评价时，无法解决待处理数据中某些属性定义域存在的优先关系和系统数据某种程度的缺失，针对该问题，提出了基于相似－优先关系的粗集扩散模型，通过相似－优先关系综合处理数据的不完整性和属性数据间的优先关系，改进的粗集模型不仅允许从原始的不完整数据表中直接进行数据处理和法规挖掘，而且规则的获取具有更大的灵活性，同时规则更易理解，更具归纳性。     

制造业产品生产过程质量模型与质量控制研究

分析制造业产品生产过程的质量模型及其建模问题,给出制造业产品生产过程质量控制系统结构,研究和探讨产品生产过程质量控制及其实现过程。     

装备保障能力与绩效综合评价模型研究

为科学把握部队装备保障能力建设情况,围绕装备保障能力与绩效综合评价进行研究,遵循评价的一般思维程序,从概念原理、体系实现和决策应用3个方面,依次构建了装备保障能力与绩效综合评价的概念模型、体系模型和决策模型;这些模型描述了装备保障能力与绩效的内在关系,明确了能力与绩效综合评价的基本原理,介绍了综合评价的方法步骤,并就评价结果的决策应用进行了分析,可为相关研究及应用提供借鉴和指导。     

生产过程资源环境属性综合评价支持系统

针对生产过程资源环境属性评价研究中缺乏实用方法和工具的问题,开发了一种制造企业生产过程资源环境属性综合评价支持系统.该系统主要由资源环境属性分析模块、资源环境属性评价模块、生产过程优化模块,以及支撑数据库和模型库模块等组成.在数据库和模型库等的支持下,对生产过程中的原材料消耗、辅助原材料消耗、能最消耗和环境排放物等进行综合评价,诊断生产过程中资源消耗和严重影响环境的关键工艺和过程,并辅助工艺人员改善和优化生产过程的绿色性.通过在某机床厂齿轮生产过程中的应用,验证了该系统的可行性.     

大规模定制产品平台的综合评价模型研究

根据大规模定制产品平台的特点，从时间、成本、通用性、定制性、鲁棒性和可扩展性6个方面建立产品平台的综合评价体系。确定模型中各个指标的评价因子，利用评价因子得到啤台综合评价值，通过综合评价值反映平台的优劣程度。应用实例证明该模型是可行性的。     

过程能力指数应用分析

通过对过程能力指数Cp、Cpk和过程性能指数Pp、Ppk的数学定义及计算过程的研究 ,分析Cpk和Ppk的不同 ,指出目前应用中的误区 ,并且给出两种指数的使用范围。     

产品生产过程的质量控制

搞好生产 (制造 )过程的质量控制 ,对确保和提高产品质量非常重要。生产过程质量控制就是要把质量管理从以事后把关为主转到以预先控制为主的轨道上来 ,预防与把关相结合 ,对影响产品质量的每个环节实施有效的质量控制 ,使产品生产的全过程处于严格控制之下 ,达到稳定、可靠、优质的目的。生产过程质量控制包括以下具体内容。第一 ,对生产条件的控制。1要保证生产、检验现场所使用图样以及成套工艺文件、作业指导书和检验文件等的正确性。2有鉴定合格的生产设备、试验设备和工艺装备。3有合格的原材料、元器件和零部件。4符合规定的工作环境…     

制造执行系统实施方实施能力综合评价技术研究

制造执行系统（MES）在制造企业信息化体系中处于重要地位，因而日益受到学术界与工业界的广泛重视。有关其实施方法论的研究，始终是该领域的热点。本文的研究对象是MES实施方实施能力的综合评价体系。首先给出综合评价体系框架，然后提出了多层次全方位的评价指标体系，并应用层次分析法（AHP）和模糊综合评价理论形成了完整的评价方法，最后给出了应用实例。     

产品方案评价的加权综合评价法及其应用

系统地探讨了产品方案评价的加权综合评价法。根据定性分析与定量分析相结合的原则，运用线性代数和层次分析法等理论，建立了一整套综合评价模型。该模型包括权数模型，数据标准化模型和综合计算模型。最后给出了一个应用实例。     

产品过程质量控制的方法

针对产品生产过程中质量控制出现的问题,提出过程质量控制的方法及注意事项。     

西格玛水平与过程能力指数关系模型探讨

通过对质量特性过程的波动和概率分布的研究,结合对不合格品率的系统分析,给出西格玛水平和过程能力指数的详细计算方法,建立西格玛水平、过程能力指数及不合格品率之间的联系,拓展六西格玛管理的研究内容,给企业管理层提供了质量评价决策依据.     

The evaluation of process capability for a machining center

The machining center methodology is widely applied to production systems within the fast-developing processing industry. The automated machining center can simultaneously perform certain processes, such as milling, drilling, boring, and reaming, on the same machine at the same time, and manufactures limited quantities of multiple-type products. These products usually have numerically important quality characteristics with high accuracy. However, a machining center is unable to measure process capability on its own. Thus, we reflect the process capability of a machining center by measuring the quality characteristics of its processing products. In this paper, we propose the three integrated process capability indices (PCIs) C _p^mc, C _a^mc, and C _pm^mc to evaluate the integrated process precision, accuracy, and actual capability respectively. Furthermore, we develop a process capability monitoring figure (PCMF), which not only displays the status of the process precision and accuracy by the color management method [1], but it also forecasts the integrated process capability of the next productive time (batch) through the analysis of time series. Using the PCMF, engineers will be assisted with tasks such as monitoring the process quality, deciding the period of the borer’s replacement, and designing the process parameters.     

基于质量功能展开(QFD)的产品设计模糊综合评价

利用最能反映顾客声音(VoC,voicesofcustoms)的QFD方法来生成评价指标,从而形成方案评价的指标体系,并同时确定评价指标的权重。在使用QFD方法获取的评价指标体系基础上,采用模糊综合评价方法进行产品设计的综合评价。最后,开发出相应评价软件并应用一个典型产品的设计实例展示了上述方法的实用性。     

机械产品方案设计过程的数字化研究

对于机械产品优化设计问题，由于涉及因素较多，在方案设计阶段很难作出正确决策。采用基于功能表面的零件结构表达技术，建立产品结构三级装配模型，通过产品结构力学计算模型的建立，可实现时产品结构性能的实时评价。根据评价结果对产品结构逐步试调整，直到对结构满意。实例应用证明文中的结构试调整方式是可行的，结构优化效率较高。     

钢铁生产多工艺方案综合工艺能力评价方法研究

针对钢铁产品特性及其生产工艺特征,构建了一种钢铁生产多工艺方案综合评价模型,该模型综合考虑产品质量,生产成本及生产效率等因素,并重点讨论了改进的NN相似度度量方法在评价质量工艺能力指数上的应用,最后采用模糊层次分析法对钢铁生产多工艺方案进行评价.     

基于网络层次分析的企业再制造产品评估模型

分析了企业面临再制造产品选择的复杂决策问题,通过改进层次分析法建立了基于依存和反馈的网络层次分析评估模型,对存在多个评价标准、控制维度、评价因素的再制造产品选择进行了综合评估。通过实例构造系统超矩阵,运用SD软件求关联超矩阵的收敛状态,得到稳定的极限超矩阵,计算出备选项权重,解决了再制造的产品选择问题。     

A process capability index for simple linear profile

In some cases, the quality of a process or a product is characterized by a linear regression model which is also called a linear profile. Process capability index is an important concept in statistical quality control and measures the ability of a process to manufacture products that meet certain specifications. There has been little attempt to study the process capability in linear profiles. In this paper, two methods are proposed for measuring the process capability in simple linear profiles. The first method uses the percentage of nonconforming parts produced at each level of the independent variable to introduce a process capability index. The second method is a multivariate process capability approach where a vector of three components is introduced. The components of the vector assess the process dispersion, its centrality, and its location within the upper and the lower specification limits. In comparison to the only existing method, numerical analysis based on simulation studies indicates that the suggested process capability measurements perform more accurately in evaluating the capability of a process generating a simple linear profile. When the error term variance is 1 and the actual percentage of nonconformities is 0.11 %, the proposed method estimates 0.11 % nonconforming percentage and a capability index of 1.06. While the existing method results in 0.27 % nonconforming percentage and a capability index of 0.9, the existing method underestimates the process capability.     

Basic model study on efficiency evaluation in collaborative design work process

During the efficiency evaluation process of collaborative design work, because of the lack of efficiency evaluation models, a basic analytical model for collaborative design work efficiency evaluation is proposed in this paper. First, the characteristics of the networked collaborative design system work process were studied; then, in accordance with those characteristics, a basic analytical model is created. This model, which is built for centralized collaborative design work, includes an analytical frame, a process view model, a function view model and an information view model. Finally, the application process and steps of this basic analytical model are elaborated when used for efficiency evaluation through an experiment. __________ Translated from Modern Manufacturing Engineering, 2006, (9): 19–22 [译自: 现代制造工程]     

The study of cost-tolerance model by incorporating process capability index into product lifecycle cost

To reduce the cost of manufacturing systems, many studies of cost minimization have been performed. Since tolerance design significantly affects the manufacturers’ cost, the optimization of cost-tolerance allocation will be an important issue for reducing these costs. Costs incurred in a product life-cycle include manufacturing cost and quality loss. However, most cost-tolerance optimization models frequently ignore the concept of quality loss and may not lead to an accurate analysis of the tolerance. Until now, process capability analysis has been the tool used to evaluate the adequacy of a production tool in meeting a quality target. Hence, the concept of process capability analysis should be included into the cost-tolerance optimization model. In this study, a flexible cost-tolerance optimization model will be constructed by integrating the process capability index into the product life-cycle cost function. The constructed cost-tolerance optimization model simultaneously considers the manufacturing cost of the components, the process capability of the manufacturing operations, and the quality loss of products. The decision-maker can apply the proposed cost-tolerance optimization model to determine a reasonable tolerance with minimum total cost including consideration of the process capability .