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提出了面向大规模个性化的产品服务系统(PSS)模块化设计框架,通过物理与服务的内部模块组合,实现客户需求的大规模、个性化、低成本与快速提供。论述了大规模个性化与大规模定制模式的区别,归纳总结了面向大规模个性化的PSS模块化设计研究与应用现状,分析了面向大规模个性化的PSS模块化设计基本特征与实现模式,提出了面向大规模个性化的PSS模块化过程与方法。这一系统归纳的面向大规模个性化的PSS模块化设计框架与方法为产品的大规模个性化设计和产品服务系统模块化设计提供了理论参考。 相似文献
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Gil-Yong Lee Mincheol Kim Ying-Jun Quan Min-Sik Kim Thomas Joon Young Kim Hae-Sung Yoon Sangkee Min Dong-Hyeon Kim Jeong-Wook Mun Jin Woo Oh In Gyu Choi Chung-Soo Kim Won-Shik Chu Jinkyu Yang Binayak Bhandari Choon-Man Lee Jeong-Beom Ihn Sung-Hoon Ahn 《Journal of Mechanical Science and Technology》2018,32(3):987-1009
In this paper, we present a review of machine health managements for the smart factory. As the Industry 4.0 leads current factory automation and intelligent machines, the machine health management for diagnostic and prognostic purposes are essential, and their importance is getting more significant for the realization of the smart factory in the Industry 4.0. After brief introductions to important concepts and definitions composing smart factory and Industry 4.0, the developments in maintenance strategies towards Prognostics and health management (PHM) of machines are summarized. The review of machine health managements is followed, classifying the references by the monitoring components, types of measurements, as well as PHM tools and algorithms. 94 existing articles are reviewed and summarized in this regard. The implementations of machine health managements within the smart factory are discussed in terms of data connectivity, communications, Cyber-physical system (CPS) and virtual factory, relating them to Internet of things (IoT), cloud computing, and big data management. 相似文献
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This article is devoted to the problems of development and implementation of digital production technologies at industrial enterprises. The structure of the technological processes and principal approaches to automation of production enterprises with various technological processes is considered. An analysis of the conditions of the change in the enterprises to multiproduct small-scale manufacturing is carried out. The problems of changing modern production enterprises to the Industry 4.0 concept are specified. The urgent problems are stated, solving of which is required to develop digital machine-building production in the Industry 4.0 concept. A definition of the digital production is proposed. 相似文献
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Pai ZHENG Honghui WANG Zhiqian SANG Ray Y. ZHONG Yongkui LIU Chao LIU Khamdi MUBAROK Shiqiang YU Xun XU 《Frontiers of Mechanical Engineering》2018,13(2):137-150
Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed. 相似文献
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为有效平衡在线定制产品过程中客户满意度、产品维护复杂性和维护成本之间的矛盾,指出产品族规模的确定不仅需要从工程设计和制造经济性等角度出发,还需要充分考虑客户的需求偏好和强度.从工程设计和生产制造角度定义了产品族规模,构建了基于功能配置元和零件配置元的客户需求偏好与强度分析模型.在此基础上提出了基于客户满意度的在线大规模定制产品族优化方法和优化步骤.最后,结合案例证明了该方法能有效平衡产品族维护复杂性和高成本同客户满意度之间的矛盾. 相似文献
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Huan-Min Xu Ming-Hai Yuan Dong-Bo Li 《The International Journal of Advanced Manufacturing Technology》2009,44(1-2):161-172
Process planning, which requires a variety of knowledge of design and manufacturing, is still one of the most difficult issues in the research on computer-integrated manufacturing and also a bottleneck hampering the process of automation and digitalization of manufacturing. The basic crux of computer-aided process planning involves the diversity of manufacturing background, the complexity of decision rules, and the complexity of reasoning logic, which makes process planning increasingly difficult. To solve these problems, we address some primary issues of process planning in previous work, which involves decision logic of backward chaining reasoning, clustering, and meta-modeling for manufacturing resources. However, as of now, there is a lack of a systematic approach for process planning from the global viewpoint. The major objective of this research is to build a novel process planning schema based on process knowledge customization. The outcomes of this study lay the foundation for process planning in future rapid process preparation. Finally, an illustrative example is used to explain the novel process planning schema based on process knowledge customization. 相似文献
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网络化协同产品定制及其系统集成研究 总被引:3,自引:3,他引:3
针对当前网络化产品定制系统存在的主要问题,提出了一种网络化协同产品定制模式。该模式通过客户与企业协同的网络化产品定制过程,使制造企业能在全球范围内快速满足客户的多样化需求、充分发挥客户的创造性;通过与企业相关环节的系统集成,可以实现整个企业以客户需求为驱动的协调运行和资源共享。提出了网络化协同产品定制运行模式与组织模型,并给出了支持多种定制方式的客户需求定义方案。基于所提出的网络化协同产品定制运行模式,进行了系统集成研究,提出了一种J2EE平台下基于XML连接器的系统集成解决方案。 相似文献
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B. M. Pozdneev A. N. Levchenko P. E. Ovchinnikov V. I. Sharovatov 《Russian Engineering Research》2019,39(12):1057-1060
The strategic development of Russian manufacturing during the creation of a digital economy and the implementation of Industry 4.0 is analyzed. The digital transformation of industry is considered in relation to new architectural models and standards. A practice-oriented model is proposed for the teaching of digital competency by means of a virtual manufacturing enterprise. 相似文献
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COVID-19 pandemic has accelerated the re-shaping of globalized manufacturing industry.Achieving a high level of resilience is thereby a recognized,essential ability of future manufacturing systems with the advances in smart manufacturing and Industry 4.0.In this work,a conceptual framework for resilient manufacturing strategy enabled by Industrial Internet is proposed.It is elaborated as a four-phase,closed-loop process that centered on proactive industry assessment.Key enabling technologies for the proposed framework are outlined in data acquisition and management,big data analysis,intelligent services,and others.Industrial Internet-enabled implementations in China in response to COVID-19 have then been reviewed and discussed from 3Rs'perspective,i.e.manufacturer capacity Recovery,supply chain Resilience and emergency Response.It is suggested that an industry-specific and comprehen-sive selection coordinated with the guiding policy and supporting regulations should be performed at the national,at least regional level. 相似文献
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Erheng CHEN Hongcheng LI Huajun CAO Xuanhao WEN 《Frontiers of Mechanical Engineering》2021,16(4):868-886
Die casting machines, which are the core equipment of the machinery manufacturing industry, consume great amounts of energy. The energy consumption prediction of die casting machines can support energy consumption quota, process parameter energy-saving optimization, energy-saving design, and energy efficiency evaluation; thus, it is of great significance for Industry 4.0 and green manufacturing. Nevertheless, due to the uncertainty and complexity of the energy consumption in die casting machines, there is still a lack of an approach for energy consumption prediction that can provide support for process parameter optimization and product design taking energy efficiency into consideration. To fill this gap, this paper proposes an energy consumption prediction approach for die casting machines driven by product parameters. Firstly, the system boundary of energy consumption prediction is defined, and subsequently, based on the energy consumption characteristics analysis, a theoretical energy consumption model is established. Consequently, a systematic energy consumption prediction approach for die casting machines, involving product, die, equipment, and process parameters, is proposed. Finally, the feasibility and reliability of the proposed energy consumption prediction approach are verified with the help of three die casting machines and six types of products. The results show that the prediction accuracy of production time and energy consumption reached 91.64% and 85.55%, respectively. Overall, the proposed approach can be used for the energy consumption prediction of different die casting machines with different products. 相似文献
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为实现大规模定制模式下的绿色设计,基于产品配置技术,结合绿色产品设计方法,提出了绿色产品族的概念,并详细分析了其内部的继承关系.通过绿色产品族的三元组表述,建立了绿色产品族到零部件族的映射关系,抽象表述了基于继承的绿色产品族.在此基础上,给出了大规模定制模式下的绿色产品信息模型,详细分析了该信息模型对大规模定制模式下绿色设计的支持过程.最后,通过电冰箱产品的绿色设计进行了该信息模型的实例验证. 相似文献
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将图论思想引入到产品族建模中,产品的基本模块定义为第Ⅰ类顶点,其中差异化模块的定制选项定义为第Ⅱ类顶点;根据顶点之间的连接关系定义了3类约束,分别表示产品族基本构成约束、差异化定制约束和差异化选项匹配约束;在此基础上构建了一种产品族结构无向图模型及其定制约束关系矩阵,并给出了差异化产品定制的实现方法。最后以手电筒的产品族建模和个性化定制为例,对产品族结构无向图模型及其定制实现方法有效性进行了验证。结果表明:该模型可合理表达企业的定制能力,有效筛选掉定制过程中的冗余信息;差异化产品定制实现方法可提高个性化产品的定制速度和定制准确性,并可减少产品定制过程中人的工作量。 相似文献
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实施大批量定制的系统优化方法研究 总被引:9,自引:2,他引:7
大批量定制是面向客户需求,把定制生产和大量生产有机地结合起来的一种生产方式。本文提出了实现大批量定制的基本思路,并从物理描述和数学模型两个方面论述了这一思路。对大批量定制的实施提供了一种新的视角。 相似文献
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Yan Su Wenhe Liao Yu Guo Qiulin Ding 《The International Journal of Advanced Manufacturing Technology》2009,42(3-4):381-397
Current product customization systems seldom consider the whole process of product customization, nor provide integrated application services for small to medium-sized enterprises (SMEs). In this paper, an ASP-based product customization service system with integrated application services is proposed for SMEs. A lifecycle-oriented customization service mode is presented to smoothly drive the whole process of product customization. For supporting product customization effectively and efficiently, key technologies on distributed product resource sharing, distributed product data reorganization, and product configuration are deeply studied. A dynamic resource publishing method and a general resource evaluation model with reward measures to promote resource sharing are given. A method of XML-based data mapping for product structure tree reorganization is proposed. A parameter gray correlation degree algorithm is established for quick product configuration. To greatly meet customers’ individual requirements, an interactive virtual product configuration platform is designed. Finally, product customization service system orienting to construction machinery is developed and validates the above studies. 相似文献
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S. N. Samy H. ElMaraghy 《The International Journal of Advanced Manufacturing Technology》2012,62(5-8):813-833
The demand for delivering product variety has been increasing. Increased product variety caused by product customization, personalization, evolution and changes in their manufacturing systems. Variety allows manufacturers to satisfy a wide range of customer requirements, but it can also be a major contributing factor to increased complexity of assembly. Complexity is generally believed to be one of the main causes of the present challenges in manufacturing systems such as lengthy and costly design processes, higher life cycle costs and the existence of numerous failure modes. Complex assembly systems are costly to implement, run, control and maintain. Assessing complexity of assembly helps guides designers in creating assembly-oriented product designs and following steps to reduce and manage sources of assembly complexity. On the other hand, reducing complexity of assembly helps lower assembly cost and time, improves productivity and quality and increases profitability and competitiveness. The complexity of assembly should be assessed by considering both products and their assembly systems. In this paper, a structural classification coding scheme has been used to measure assembly systems complexity. It considers the inherent structural complexity of typical assembly equipment. The derived assembly systems complexity accounts for the number, diversity and information content within each class of the assembly system modules. A domestic appliance drive assembly system is used to demonstrate the use of the classification code to calculate the assembly system complexity. The developed complexity metrics can be used by designers as decision support tools to compare and rationalize various automated assembly systems alternatives and select the design that meets the requirements while reducing potential assembly complexity and associated cost. 相似文献