基于神经网络规则抽取的产品服务配置规则获取

针对由混合配置前件导致的大量耦合的、相互关联的复杂规则,提出了LC神经网络和RULEX算法联合实施下基于历史数据的个性化产品服务配置规则获取方法,包括基于LC的规则构造和知识发现,基于RULEX的规则抽取,网络模块的划分与提炼,以及配置规则适应度评价。最终通过楼宇控制产品服务说明了该方法具有较好的网络训练效率和规则复杂度。     

一种基于约束满足问题的产品配置方法

提出了采用约束满足问题CSP来表示和求解产品配置问题,给出了基于CSP的产品配置方法和求解非二维CSP的前向传播算法nFC,并与基于规则的配置方法相比较,分析了基于CSP的配置方法在配置知识的表示、配置问题的知识推理和配置知识的演化与维护上的特点,最后进行了仿真验证.     

约束对象的产品族模型知识表示及配置方法

针对目前产品族模型存在冗余、配置效率低、不易更新的问题,研究了基于约束对象的产品族模型的知识表示方法,有效地降低了产品结构冗余以及配置的复杂度,实现模型知识的有效封装.在此基础上研究了基于约束和实例的配置推理方法,给出了具体的配置推理过程.最后,给出了一个摩托车产品族建模的案例.该模型及其推理方法能够方便地利用计算机实现,可用于建立一个高效的产品族配置系统.     

产品配置中相似实例模糊优选法的研究

分析了传统BOM在产品种类剧增的大规模定制竞争环境下的缺陷，阐明了面向产品族的创成式BOM（Generic Bill-of-material,GBOM)的概念。研究了GBOM的面向对象表达方法以及基于GBOM的产品配置过程，提出采用模糊优选法解决配置过程中相似实例的提取问题，并给出基本算法和实例验证，最后讨论了GBOM树中零部件类节点相似实例提取中的关键问题及解决方法。     

CAD应用框架配置技术研究

为满足CAD软件研发中应用框架扩展、复用及调整的需求,论文提出了应用框架基于配置的动态设计方案,并给出了实现的模块划分及流程;同时研究并给出了CAD软件功能配置的层次结构及内容,基于此研究,相同的软件框架在不同的配置下可以开发成为不同的CAD应用或控件,而且不同的CAD软件通过配置合并可以实现框架的集成及功能复用。该技术已在实际的CAD软件开发中得到应用验证。     

基于过程配置的MES制造数据管理方法与应用

通过研究制造执行系统中产品与工艺数据管理的应用需求,讨论了MES中的过程表达模型与过程配置方法在制造数据管理中的应用.参考XPDL等流程模型表达规范,构建了以过程为中心的制造数据信息模型.针对MES对制造过程不确定性表达的需求,给出了过程配置规则表达和配置结果求解的实现方法,设计开发了图形化的流程可视化软件模块,解决了...     

基于产品配置的工艺数据管理研究

通过对传统工艺数据管理模式和管理内容的深入分析,扩充了工艺数据管理范围,提出了基于产品配置的工艺数据管理模式,并运用面向对象的建模技术从工艺数据以产品配置为导向的角度出发,构建了该管理模式的组织方式模型和关系数据库模型,从而有效地避免"信息孤岛"的产生,实现了企业工艺数据的有序、有效管理.最后结合基于产品配置的工艺数据管理的流程图,给出了系统的应用实例,验证了该管理模式的可行性.     

实例基集成推理技术及其在产品协同设计支持系统中的实现

介绍了一种基于实例和规则的集成推理模型,并给出其在机械产品协同设计支持系统中的应用。重点讨论了集成系统中的设计实例表示及其结构组织,并给出系统方案设计结果。最后对系统进行了分析与评价,实践证明其运行结果良好。     

基于形状文法的产品形态创新设计研究与实践

为了更好地继承本族群及参考产品的优势设计特征,增强产品形态设计推敲阶段的客观性和科学性,更好满足用户需求,提出基于形状文法的产品形态创新设计方法和模型.此法结合目标产品形态特征,分别从产品族群与可参考产品中提取能够反映用户需求的形态要素,然后应用形状文化规则进行演变推理,以实现产品设计方案自适应进化.并在此基础上,详细探讨了产品研究与形态分析、形态推演、方案生成等关键技术,最后结合具体的某款电动踏板车形态设计过程对该方法进行了说明和验证.     

面向网络联盟的全球产品配置管理

阐述了网络化制造模式的特点，在分析网络化制造环境下产品配置的新特点的基础上，提出面向网络联盟的全球产品配置管理思路，支持基于知识的快速创新和“边缘创新”．通过建立全球配置系统结构和对产品配置流程的分析，为相应的软件开发可行性进行了论证。     

An approach to rule extraction for product service system configuration that considers customer perception

At present, manufacturers tend to bundle a product with its related services as a product service system, to meet customer needs and achieve competitive advantage. Configuring a product service system involves selecting and combining appropriate product and service components, to satisfy individual customer needs. One crucial step to rapidly configure a product service system is to develop formalised configuration rules, which show the relationships between product service components and customer needs, including those expressed as perception needs. In this study, a rough set-based approach is proposed to acquire configuration rules. First, an information table is built by combining the results of factor analysis and questionnaire survey. Then, customer segmentation is accomplished by clustering. Based on the information table and customer segmentation, a dominance-based rough set approach is used to extract the configuration rules. Finally, a weighbridge is selected for the case study to validate the proposed approach.     

Adaptable product configuration system based on neural network

In the rapidly diversifying and globalising market, product configuration is implemented in a dynamic environment with continuous change of configuration knowledge. The adaptability of the product configuration system, which is defined as the capability to adjust product configurator, human resources and organisational resources to fit a new environment, is becoming more and more crucial. To keep the adaptability, this research suggests an adaptable product configuration (APC) system which transforms the development of the configuration system in a dynamic environment from a straightforward process to a closed circle. In the existing research on product configuration, most issues are addressed separately by different approaches and most approaches lack a systematic view which considers the interaction among product configurator, resources and environment. The circle of APC is therefore divided into several isolated stages and involves intensive human work, consumes a lot of organisational resources and results in a long response time. To successfully implement APC, this research adopts an artificial neural network and a specific rule extraction mechanism to develop a product configuration system. The neural network is able to automatically acquire configuration knowledge from historical transaction data and then directly apply it without further knowledge programming. Rule extraction mechanism has the capability to interpret the behaviour of the trained neural network and make it comprehensible and adjustable. Finally, knowledge acquisition, representation and application in product configuration are incorporated into the same connectionist methodology. And consequently, the APC circle is accelerated and the adaptability of the product configuration system is improved. A case study of computer configuration is presented.     

Product configuration: a review of the state-of-the-art and future research

Being able to provide companies with a number of advantages in delivering customised products, product configuration has received increasing attention from the academia and lasting interests from industries in the past several decades. While several surveys and reviews have been reported shedding light on specific issues in product configuration, a general overview is missing. By systematically presenting important concepts, definitions and issues underlying product configuration, such a review is of paramount importance to develop practical solutions, which ultimately contributes to efficient design, development and implementation of product configurators in practice. This study, thus, tries to fill this gap by reviewing the state-of-the-art research on product configuration. It touches on the major issues, definitions and concepts in product configuration along with the corresponding studies, such as configuration ontology, system design and development, and configuration solving. Based on the review, future research is highlighted as well.     

Inventory-shortage driven optimisation for product configuration variation

Inventory control is a critical problem in manufacturing systems. Inventory shortage significantly affects system productivity, while excessive stocks increase the operation cost. It is difficult to avoid fully inventory shortage under mass customisation manufacturing based on product configuration. In this paper, we propose a new approach for inventory-shortage driven optimisation of dynamic product configuration variation to meet the requirements of product configuration change and find suitable combination of parts by considering cost, lead-time and inventory variation. The multi-objective optimisation model uses a multi-objective genetic algorithm and adds impact cost, lead-time and inventory factors to the normal configuration optimisation model. An industrial case study demonstrates the practicality and effectiveness of the proposed approach. By means of this research, valid solutions for configuration variation are available to the decision makers.     

A framework for cost evaluation in product service system configuration

Configuration systems are increasingly used as a means for efficient design of customised product service systems (PSS) to satisfy diverse customer needs. Cost evaluation is thereby important to assist the configuration engineers in making decisions on feasible configuration solutions. However, little research attention has been received until recently. To fill this gap, this paper contributes in developing a framework for cost evaluation in PSS configuration. A holistic view of PSS configuration, the three-dimensional PSS cost element, and a life cycle-oriented cost evaluation approach are successively proposed. The framework is thereby established with a number of parts, including the preparatory stage, the evaluation stage and the configuration stage. A pump PSS is illustrated to validate the developed framework. Four feasible configuration solutions in one configuration activity are evaluated and compared. The configuration engineers are thus assisted with the decision on selecting the one with the least cost.     

产品结构及其包装的优化设计方法

开发新产品时有必要根据包装的需要设计结构，并综合考虑其包装设计。即合理选择原材料及结构，提高产品自身强度，减少缓冲材料使用量；简化产品的包装结构设计，减少包装对环境污染，降低包装成本。这是一个多目标，有复杂约束条件的问题，难于用常规优化技术求解。文中通过实例说明产品结构及其包装的实用优化设计方法。     

Supply chain configuration with co-ordinated product,process and logistics decisions: an approach based on Petri nets

Supply chain configuration lends itself to be an effective means to deal with product differentiation and customisation throughout a supply chain network. It essentially entails the instantiation of a generic supply chain network to specific supply chains in accordance with diverse customer requirements. The lynchpin of supply chain configuration lies in the co-ordination of product, process and logistics decisions in relation to a variety of customer orders. This paper aims to provide modelling support to supply chain configuration. The ultimate goal is to assist companies to form appropriate supply chains with the most added-value to customer order fulfillment. A formalism based on coloured Petri nets is developed for configuring supply chains. System models are built upon the coloured Petri nets and used to incorporate product and process concerns into the supply chain configuration process. An industrial case study is reported to illustrate the potential of the coloured Petri net modelling formalism and the built system models for supply chain configuration.     

大规模定制企业产品配置元结构持续优化策略

大规模定制模式已经成为可能和未来发展的趋势。从产品功能和结构配置元分类入手,构建出企业产品配置元结构优化模型,探讨了不同目标导向的产品配置元优化策略。最后举例证明方法的可行性和有效性。     

Supplier selection problem revisited from the perspective of product configuration

Collaboration with suppliers is essential for developing and producing a competitive product and it begins with selecting the right suppliers. This article addresses the supplier selection problem from the perspective of product configuration. We discuss first how the conventional decision models of supplier selection should be extended, considering the fact that supplier configuration requires supplier selection for each subsystem of a product. We then highlight the need to consider interrelationships between suppliers, namely, supplier–supplier relationships during the selection process of the combination of suppliers. Finally, we introduce the supplier configuration graph in order to provide a clear picture of the problem. Discussions are provided along with an example of a smartphone configuration.