基于制造特征的产品族零件工时定额制定方法

为了保证产品族零件工时定额制定的通用性和高效性, 提出了以零件制造特征作为工时载体的工时定额制定新方法。该方法通过建立零件的制造特征模型, 研究了基于零件制造特征的零件相似性判定, 根据零件相似性判定划分了零件组, 对每个零件组内所有零件的工时及其影响因素进行了描述, 并构建了零件组相应的工时描述平台。通过神经网络技术的运用建立了零件的工时神经网络模型, 并结合MATLAB软件对零件工时进行了估算, 实现了产品族零件工时定额的快速制定。最后, 通过案例阐述了新方法的具体实现过程。     

面向语义服务架构的协同制造平台集成框架

为了实现网络化制造环境下跨企业协同制造过程中资源、数据、应用、能力等的有效集成,对面向服务架构进行了语义扩展,提出基于语义面向服务架构的协同制造平台集成框架.设计了该协同制造平台的分层体系结构和主要功能区.给出了制造服务建模方法,通过制造服务的形式化定义消除技术实现中的差异性,并对OWL-S语言进行扩展来描述制造服务以实现服务的语义性.然后给出了制造服务集成方法.最后给出了应用原型及实现,通过纺织机械制造企业的应用案例证明了该方法的可行性与有效性.     

基于角色-活动模型的移动制造协同链建模

针对移动制造协同过程的动态性、协同性和异构性，提出了移动制造协同链的概念和一种角色-活动模型。该模型针对移动制造协同过程的特点，综合考虑了角色、活动、流程之间的关系。在分别对角色和活动的属性进行编码的基础上，该模型通过遗传操作实现了活动的变异与过程的变异。建模过程则按照活动定义、角色定义、模板定义和项目的定义的顺序实现。所开发的原型系统证明，基于角色-活动模型的移动制造协同链模型满足了移动制造协同过程建模的需求。     

分布式联动系统中的多级委托策略研究

目前已有的集中式安全联动防御机制对大规模复杂攻击很难做到协同防范,且容易造成单点服务失效等问题.针对上述不足,在分布式体系结构的基础上提出了一种包含安全联动策略(SRP)和委托管理策略(DAP)的多级委托机制,该机制由联动权限的动态委托和可信委托链的构造方法组成.用XACML Admin规范语言描述了上述两种策略,用形式化的方法描述了委托链的结构组成和委托过程,给出了委托联动算法的伪代码实现.构造可信委托链不仅实现了协同安全联动防御,而且在一定程度上克服了单点失效等问题.提出的安全策略多级委托机制将为构建动态的、分布式的、协作的网络安全防护系统奠定良好的理论基础.     

移动制造协同网络的多要素复杂性分析

为了解决移动制造协同空间的描述和分析问题,在分析用户/协同功能关系的基础上,定义了协同网络.通过定义、计算、分析节点的强度、聚集系数等参数及其关系,揭示了各节点在网络中的地位与相互关系,进而研究了用户界面之间的耦合关系.该研究可为协同空间的构建和协同过程的监控提供依据.     

工业区块链推动制造业数字化变革的作用研究

本文旨在探讨制造业数字化变革的深化路径,并重点研究工业区块链的构建。文章分析了数字经济背景下,区块链技术在智能制造中的重要性,以及制造业转型升级的迫切需要,探讨了工业区块链对提高数据安全性、促进企业信息系统集成以及全产业链协同管理的作用,提出了搭建工业区块链平台的阶段性目标和实施策略,并展望了工业区块链在未来制造业发展中的应用前景。     

网络化制造领域本体知识建模的研究

针对目前网络化制造环境下,服务描述、发现过程中语义信息动态表达不足的问题,从Web服务的角度提出了一个基于本体的制造领域知识建模方法,并在此基础上构建制造领域本体模型,最后给出应用实例。重点研究解决了制造服务过程中不同对象间的信息交流、数据交换和知识资源重用三个问题,有效地实现网络制造环境下资源共享与优化配置,为基于语义的网络协同制造服务平台的构建奠定了基础。     

集群协同制造服务匹配策略的计算实验比较研究

针对如何准确评估各种服务匹配策略、选择出最优的服务策略,以实现集群协同制造过程中的动态环境下的服务供需匹配这一问题,提出了一种集群协同制造服务匹配策略计算实验方法。该方法从三个方面对集群协同制造服务匹配策略进行了深入研究,包括服务匹配策略的设计（只考虑服务资源QoS（quality of service）属性变化的服务匹配策略、只考虑客户需求变化的服务匹配策略、综合考虑服务资源QoS属性变化及客户需求变化的服务匹配策略）、集群协同制造实验系统模型的构建、服务匹配策略的分析评估。实验结果表明,在供需稳定及供需波动的市场环境下,综合考虑服务资源QoS属性变化及客户需求变化的服务匹配策略表现最优,能够很好地实现动态环境下制造服务的供需匹配。     

面向网络化制造服务的本体知识建模研究*

针对目前网络化制造环境下,服务描述、发现过程中语义信息动态表达不足的问题,从Web服务的角度提出了一个基于本体的制造服务知识建模方法,并在此基础上构建制造本体模型,最后给出服务模糊匹配的评定方法。重点研究解决了制造服务过程中不同对象间的信息交流、数据交换和知识资源重用三个问题,有效地实现网络制造环境下资源共享与优化配置,为语义Web的网络协同制造服务平台的构建奠定了基础。     

面向全生命周期的服务制造网络建模研究*

服务型制造是企业间通过相互服务实现协同和创新,企业间的相互服务聚集成了复杂的网络关系。如何描述和分析这种关系是研究维护并优化协同制造关系的前提。针对服务型制造发展的需要,提出了面向全生命周期的服务制造网络建模方法。首先深入分析了服务型制造网络的概念和特点以及产品与服务的关系;然后根据产品BOM建立了满足服务制造的BOM,在此基础上,构建了设计、制造、维护三种基本形态的全生命周期的服务型制造网络模型。     

Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems. An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM. One question, in particular, has often been raised: is cloud-based design and manufacturing actually a new paradigm, or is it just “old wine in new bottles”? To answer this question, we discuss and compare the existing definitions for CBDM, identify the essential characteristics of CBDM, define a systematic requirements checklist that an idealized CBDM system should satisfy, and compare CBDM to other relevant but more traditional collaborative design and distributed manufacturing systems such as web- and agent-based design and manufacturing systems. To justify the conclusion that CBDM can be considered as a new paradigm that is anticipated to drive digital manufacturing and design innovation, we present the development of a smart delivery drone as an idealized CBDM example scenario and propose a corresponding CBDM system architecture that incorporates CBDM-based design processes, integrated manufacturing services, information and supply chain management in a holistic sense.     

Integration of manufacturing services into virtual environments over the internet

Virtual reality (VR) is a rapidly developing technology that has a wide spectrum of industrial and commercial applications. Networked (distributed or shared) virtual environments (VE) are of growing interest to modern manufacturing industry; a dominating use of networked virtual manufacturing environments (VMEs) is on-line visualisation and collaborative control of 3D information. This has to be supported by real-time data transfer. To meet a broad range of common requirements for Internet-based VE communications, particularly for virtual manufacturing and collaborative design and control, this paper presents a networked virtual environment system that is designed to support networked virtual design and manufacturing. The system is implemented with manufacturing message specification (MMS) standards so as to integrate a range of manufacturing services into networked VEs over the Internet.     

制造业供应链产销协同计划冲突协商模型

面对市场竞争日益剧烈和客户需求多样化的趋势,制造业供应链的制造商和经销商努力实现产销协同计划。然而在产销协同计划中时常出现冲突,及时有效消解冲突,能提高整个供应链的协作效率,改善供应链上企业间的合作关系;反之,会降低供应链的运作效率,削弱供应链的竞争力。针对这类冲突问题,引入让步协商策略,在有限信息共享条件下,建立供应链产销协同计划冲突协商模型;设计具有历史提议回顾特点的协商流程;通过文化基因算法,产生反提议生成策略;通过算例验证文化基因算法及冲突协商模型的有效性。     

考虑运输因素的网络化制造资源优化配置方法

针对网络化制造环境下制造资源的优化配置问题,为提高配置结果的实用性,在考虑加工时间和加工成本等因素的基础上,加入企业间运输时间和运输成本因素,建立了综合优化模型。采用带精英保留策略的遗传算法对该问题进行求解。通过实例验证了以上模型和求解算法。研究结果表明,考虑运输因素的网络化制造资源优化配置方法能够有效降低总运输成本和时间,配置方案更贴合实际。     

e-CAPP: A distributed collaborative system for internet-based process planning

Advances in distributed technologies have enabled engineers to communicate more effectively, collaborate, obtain, and exchange a wide range of design resources during product development. Shared internet-based virtual environments allow experts in remote locations to analyze a virtual prototype, together and simultaneously in centers in which the product is being developed.This paper presents a system for distributed and collaborative environment which could assist manufacturing enterprises and experts in discussing, suggesting, evaluating and selecting best process plans for family of manufacturing parts. The represented e-CAPP system enables the implementation of expert knowledge in an appropriate knowledge repository. The knowledge from this repository is integrated into intra-company CAPP systems and used while generating process plans for new products. The proposed internet-based collaborative environment, dedicated to distributed process planning, is yet another step in the direction advancing of distributed manufacturing.     

Online merchant resource allocation and matching for open community collaborative manufacturing (OCCM) in mass personalization model

In order to meet the requirements of customers' pursuit of personalized and diversified needs, enterprises need to change from the traditional mass manufacturing model to mass personalization manufacturing model. On the other hand, collaborative manufacturing based on stakeholders will effectively solve the problems of information asymmetry, low operational efficiency and insufficient resource utilization in the process of manufacturing. Moreover, the new model of open community manufacturing is conducive to the planning, allocation, optimization and management of various networked and social resources. Therefore, combined with above three innovative models of mass personalization manufacturing, collaborative manufacturing and open community manufacturing, this paper studies the online merchant resource allocation and matching of open community collaborative manufacturing (OCCM) for mass personalization (MP) model to realize the innovation of design model, improve design efficiency and save design resource cost. Firstly, the workflow for OCCM in MP model based on system engineering analysis method is studied. Secondly, online merchant resource allocation for OCCM based on social network analysis (SNA) and online merchant resource matching for OCCM based on fuzzy clustering are proposed. At last, a case study for OCCM in the automotive industry is given to verify the effectiveness of the proposed model and methods.     

基于Web的客户化分布式网络制造技术

面对经济全球化的趋势,制造业传统的制造模式已不相适应,文中提出了面向21世纪制造业的基于Web的客户化分布式网络制造概念。首先对这一制造模式的特征、系统结构、主要组成和功能及运作流程作了详细的描述。然后,对系统实现的关键技术面向分布式网络制造的合弄控制体系结构和分布式计算技术进行了讨论。通过原型系统的开发和部分技术、原理的实际应用,证明该技术对提高制造系统的敏捷性是可行的、有效的。     

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control

The demands for mass individualization and networked collaborative manufacturing are increasing, bringing significant challenges to effectively organizing idle distributed manufacturing resources. To improve production efficiency and applicability in the distributed manufacturing environment, this paper proposes a multi-agent and cloud-edge orchestration framework for production control. A multi-agent system is established both at the cloud and the edge to achieve the operation mechanism of cloud-edge orchestration. By leveraging Digital Twin (DT) technology and Industrial Internet of Things (IIoT), real-time status data of the distributed manufacturing resources are collected and processed to perform the decision-making and manufacturing execution by the corresponding agent with permission. Based on the generated data of distributed shop floors and factories, the cloud production line model is established to support the optimal configuration of the distributed idle manufacturing resources by applying a systematic evaluation method and digital twin technology, which reflects the actual manufacturing scenario of the whole production process. In addition, a rescheduling decision prediction model for distributed control adjustment on the cloud is developed, which is driven by Convolutional Neural Network (CNN) combined with Bi-directional Long Short-Term Memory (BiLSTM) and attention mechanism. A self-adaptive strategy that makes the real-time exceptions results available on the cloud production line for holistic rescheduling decisions is brought to make the distributed manufacturing resources intelligent enough to address the influences of different degrees of exceptions at the edge. The applicability and efficiency of the proposed framework are verified through a design case.     

Tool selection-embedded optimal assembly planning in a dynamic manufacturing environment

This paper presents an approach for tool selection-embedded optimal assembly planning in dynamic manufacturing environments. It aims to embed assembly tools into the planning process of assembly sequences in a dynamic shop-floor. The experimental results demonstrate that the developed approach is efficient and practical for a high fidelity assembly sequence with alternatives of assembly-tool sets. The dynamic assembly planning can efficiently support product assembly by generating feasible assembly sequences. It provides an effective design-aiding tool to virtually deal with various what-if scenarios regarding product assembly. In particular, the Web-based application developed in this research can be incorporated into a high-performance design and manufacturing environment on the Web, forming a distributed, collaborative and globally networked tool for product assembly planning.     

网络化工艺分工规划系统的研究

动态联盟企业面向复杂零件的工艺分工规划问题是网络化制造中的一个关键问题。针对该问题，提出了逻辑制造单元的概念，通过它在工艺分工规划和制造资源之间建立联系，研究了基于逻辑制造单元的制造资源能力建模、逻辑加工路线设计，以及面向逻辑加工路线的制造资源预配置和优化配置。最后针对复杂零件的制造，进行了基于制造资源优化配置的工艺分工规划系统体系结构设计，并给出了工作流程。