Digital Twin-based Quality Management Method for the Assembly Process of Aerospace Products with the Grey-Markov Model and Apriori Algorithm

The assembly process of aerospace products such as satellites and rockets has the characteristics of single-or small-batch production,a long development period,high reliability,and frequent disturbances.How to predict and avoid quality abnormalities,quickly locate their causes,and improve product assembly quality and efficiency are urgent engineering issues.As the core technology to realize the integration of virtual and physical space,digital twin(DT)technology can make full use of the low cost,high efficiency,and predictable advantages of digital space to provide a feasible solution to such problems.Hence,a quality management method for the assembly process of aerospace products based on DT is proposed.Given that traditional quality control methods for the assembly process of aerospace products are mostly post-inspection,the Grey-Markov model and T-K control chart are used with a small sample of assembly quality data to predict the value of quality data and the status of an assembly system.The Apriori algorithm is applied to mine the strong association rules related to quality data anomalies and uncontrolled assembly systems so as to solve the issue that the causes of abnormal quality are complicated and difficult to trace.The implementation of the proposed approach is described,taking the collected centroid data of an aerospace product’s cabin,one of the key quality data in the assembly process of aerospace products,as an example.A DT-based quality management system for the assembly process of aerospace products is developed,which can effectively improve the efficiency of quality management for the assembly process of aerospace products and reduce quality abnormalities.

Establishment of Person and Enterprise Process Model in Product Data Management System

Before the implementation of product data management (PDM) system, person model and enterprise process model (EPM) must be firstly established. For the convenience of project management, all the related users must be allocated to the “Person User Role Group” net. Based on the person model and the direction of information flow, the EPM is established subsequently. The EPM consists of several release levels, in which the access controls are defined. The EPM procedure shows the blueprint of the workflow process structure. The establishment of person model and EPM in an enterprise has been instanced at the end of this paper.

Application of MES System in Offshore Oil and Gas Field Production Management

In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.

Research and Implementation of Task Management Model in Product Development Process Management

The implementation of product development process management (PDPM) is an effective means of developing products with higher quality in shorter lead time. It is argued in this paper that product, data, person and activity are basic factors in PDPM With detailed analysis of these basic factors and their relations in product developmed process, all product development activities are considered as tasks and the management of product development process is regarded as the management of task execution A task decomposition based product development model is proposed with methods of constructing task relation matrix from layer model and constraint model resulted from task decomposition. An algorithm for constructing directed task graph is given and is used in the management of tasks. Finally, the usage and limitation of the proposed PDPM model is given with further work proposed.

Research on Concurrent Engineering Oriented Integrated Product Development Process Management System

In concurrent engineering, effective process management is the key to improve the efficiency and quality of product development. Although in project management system, workflow management system and PDM system, process management functions are provided, they can not meet the needs of product development. In this paper, we integrate the project management, workflow management and product management technique together and a concurrent engineering oriented integrated product development process management system is proposed. The system structure, integrated product development model and running method are introduced. The practice proves this system is powerful in supporting product development process.

Research on the Influencing Factors of Purchasing Internet Financial Wealth Management Products Based on AHP

Internet financial wealth management product(IFWMP)has recently been one of the most gained popularity.There are limited quantitative research on IFWMP which can help customers to choose products based on the significance of each factor.In this paper,a multi-criteria decision-making model for IFWMP was developed,namely the analytic hierarchy process(AHP)which is commonly used to make decisions for unstructured problems through quantifying weights of each criterion.This paper investigated ten influential factors relevant to the purchase of IFWMP and analyzed the frequency of collected response to show the significance of the factors.Based on the quantified weights,the results of the research indicated that compatibility,product liquidity,perceived ease of use,and perceived usefulness affected investors purchasing behaviors and that every investor should pay great attention to.

Research on the Influencing Factors of Purchasing Internet Financial Wealth Management Products based on AHP

Internet financial wealth management product(IFWMP)has recently been one of the most popularity.There is limited quantitative research on IFWMP which can helps customers to choose the products based on the significance of each factor.In the paper,a multi-criteria decision-making model of IFWMP was developed,namely analytic hierarchy process(AHP)which is used to make decisions to the unstructured problems through quantifying weights of each criterion.This paper investigated ten influential factors relevant to the purchase of IFWMP and analyzed the frequency of collected responds to show the significance of factors.Based on the quantified weights,the result of the research indicated that compatibility,product liquidity,perceived ease of use and perceived usefulness affect the investors purchasing behaviors most that every investors should pay great attention to.

Research on Software Production Support Structure

Firstly, it is found that process design is necessary for software process improvement after analyzing its complexity. Then, research methods and concepts framework are put forward, and the research content is also provided. The find-ings of research, including propositions of complexity of software process, the work program of complexity of software process improvement, software enterprise model and software production support structure are clarified. Finally, the demonstration, including mindbugs (cognitive barriers) in software process and the knowledge integration support structure of quality software production, is illustrated with case study. It is concluded that the research is useful for both software production and knowledge economy in the future.

Leveraging Robust Artificial Intelligence for Mechatronic Product Development—A Literature Review

Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed.

PPM环境贸易措施与WTO规则的关系问题分析

由于PPM环境贸易措施和WTO规则之间的关系问题存在不确定性,因而各国经常会按照有利于自身的原则对其进行解释,用以保护本国工业或推广本国价值观,PPM环境贸易措施也因此成为绿色贸易壁垒的最新形式。有关PPM环境贸易措施与WTO规则的关系问题,发达国家与发展中国家在理论和实践上存在着根本性的分歧。发展中国家为了保护自身的利益,必须坚持单边PPM环境贸易措施不符合有关的WTO规则的立场,并积极采取措施澄清二者之间的关系。

ppm质量制在SMT生产上的应用

阐述了ppm管理这一新思想,具体介绍了ppm缺陷计算法在SMT生产工序监测过程中的应用。

An Approach to Integrated and Concurrent Product Development

A concurrent product development example is used in this paper to introduce a roadmap for integrated and concurrent product development. The roadmap covers the following steps: (1)enterprise problem specifying; (2)information integration modeling; (3)integrated products development team modeling; (4)product development process modeling; and (5) integrated information-process-organization modeling. They have been successfully applied in the major pilot project of "Concurrent Engineering" of the 863 Programme of China.

National Forest Inventories capture the multifunctionality of managed forests in Germany

Background:Forests perform various important ecosystem functions that contribute to ecosystem services.In many parts of the world,forest management has shifted from a focus on timber production to multi-purpose forestry,combining timber production with the supply of other forest ecosystem services.However,it is unclear which forest types provide which ecosystem services and to what extent forests primarily managed for timber already supply multiple ecosystem services.Based on a comprehensive dataset collected across 150 forest plots in three regions differing in management intensity and species composition,we develop models to predict the potential supply of 13 ecosystem services.We use those models to assess the level of multifunctionality of managed forests at the national level using national forest inventory data.Results:Looking at the potential supply of ecosystem services,we found trade-offs(e.g.between both bark beetle control or dung decomposition and both productivity or soil carbon stocks)as well as synergies(e.g.for temperature regulation,carbon storage and culturally interesting plants)across the 53 most dominant forest types in Germany.No single forest type provided all ecosystem services equally.Some ecosystem services showed comparable levels across forest types(e.g.decomposition or richness of saprotrophs),while others varied strongly,depending on forest structural attributes(e.g.phosphorous availability or cover of edible plants)or tree species composition(e.g.potential nitrification activity).Variability in potential supply of ecosystem services was only to a lesser extent driven by environmental conditions.However,the geographic variation in ecosystem function supply across Germany was closely linked with the distribution of main tree species.Conclusions:Our results show that forest multifunctionality is limited to subsets of ecosystem services.The importance of tree species composition highlights that a lack of multifunctionality at the stand level can be compensated by managing forests at the landscape level,when stands of complementary forest types are combined.These results imply that multi-purpose forestry should be based on a variety of forest types requiring coordinated planning across larger spatial scales.

PPM管理在SMT生产工序控制中应用

阐述了ＰＰＭ管理的新思想，具体介绍了ＰＰＭ缺陷计算法在ＳＭＴ生产工序监测过程中的应用。

数据产权法律构造论

在数字经济环境中,数据已成为一种新型生产要素,需要更好地挖掘和开发其经济价值。数据不同于传统有体物以及知识产权客体的特征和属性使其在法律制度构建和运行上也具有特殊性。数据产权制度是数据基础制度的核心内容,其应涵盖保护数据主体合法权益、协调和平衡数据利益关系、促进数据有序流动和分享、促进数据要素利益公平分配等内容。数据产权的法律构造旨在建立数据资源持有权、数据加工使用权和数据产品经营权的数据动态流转和价值实现机制,最终服务于数字经济发展目标。

选矿厂智能化建设目标与实施路径

选矿厂的智能化升级转型是建设现代矿山企业的必然选择,其建设目标及实施路径与广义智能工厂建设有着显著差异。本文结合选矿厂智能化建设背景、面临的问题,探讨了选矿厂智能化的建设目标,提出了智能选矿厂的建设路径:智能装备与智能感知、过程自动化稳定运行、工艺优化控制、信息化生产管理以及与之匹配的生产组织管理体系,最后给出了选矿厂智能化建设的实施步骤建议。

复杂产品系统研发过程风险研究综述

复杂产品系统(CoPS)的研发过程具有高度的不确定性和复杂性,涉及诸多风险因素,众多学者针对相关风险进行研究、提供对CoPS研发风险管理的深刻洞见,以期提高CoPS研发成功率。因此,梳理89篇来自Web of Science、中国知网等数据库1998年至2023年间国内外CoPS研发过程风险研究相关文献,从风险管理、风险生成和风险传播3个视角,对CoPS研发过程的风险研究工作进行归纳。结果显示在CoPS风险研究领域,风险管理的相关研究最广泛,文献数量从1998年开始逐渐增加,数量占比为78%,是领域内主要研究方向;风险生成相关研究受关注较少,文献数量占比为11%且在发表时间上较为分散,除2015年与2018年外每年不多于1篇;风险传播相关研究首篇文献发表于2013年,近年来受到持续关注,文献数量占比为11%。其中,风险管理相关研究主要从风险识别、风险评估、风险应对及风险控制4个核心环节进行展开,揭示在CoPS研发过程中如何通过多种方法有效识别并应对潜在风险;风险生成相关研究主要针对利益相关者的违约风险、技术风险等探究相关风险生成路径,并对风险因素间的相互作用进行初步探索;风险传播相关研究则分析揭示有关风险是如何在项目的不同阶段和部门间传播。同时可见,当前风险管理研究主要聚焦于单一风险因素的探讨,缺少系统地对CoPS研发过程中的流程或生命周期的风险识别、控制与应对的研究;风险生成研究缺乏对风险耦合产生风险事件机制的深入研究;风险传播研究在一定程度上忽视了风险因素间的动态影响,且相关案例数据的支撑不足。基于此,从研究内容、研究方法角度以及考虑当前及未来的外部宏观环境影响等方面,提出未来可进一步探讨的研究方向。

畜产品加工中的常见问题及解决对策

畜产品加工在保障食品安全和提升产品质量方面面临诸多挑战。本文通过分析畜产品在加工过程中存在的原料质量控制不足、加工工艺参数优化不当及卫生安全管理体系缺陷等常见问题,提出相应的解决措施,旨在提高畜产品加工的整体水平,确保食品安全,促进行业的可持续发展。

C公司应用软件产品研发流程改进研究

快速稳定的软件产品能有效提升企业市场竞争力。梳理C公司EI项目现状,采用头脑风暴法和5Why方法,对问题根本原因进行分析,在满足流程改进约束条件的前提下,采用系统的方法改进应用软件产品研发流程,提出一种Scrum敏捷开发与能力成熟度模型集成(capability maturity model integration, CMMI)相结合的软件产品研发流程模型。研究成果能够缩短产品交付周期,提高产品交付频次,有助于产品持续集成、持续发布,做到研发有效支撑市场推广,进而帮助C公司提升产品研发过程对产品市场前端演示推广需求的响应和支撑。

人工神经网络在实现猪精准饲养模式中的应用研究进展

目前,对集约化猪养殖中产生的大量生产数据的高效分析与合理运用是推动我国生猪产业精准化和智能化发展的关键步骤。人工神经网络(artificial neural network,ANN)的自学习、联想存储、高速寻找优化解等特征在进行大数据信息处理时具有显著优势,在猪生产领域具有极高的应用潜力。笔者以具有单隐藏层的三层误差反向传播前馈人工神经网络(back propagation-aritificial neural network BP-ANN)为代表,对ANN的结构特点及其在猪行为与健康监测、胴体性状与肉品质估测和猪生长速率调控与日粮原料营养价值预测等方面的应用成果进行综述,从生产管理和营养调控两方面展望ANN在未来猪精准饲养模式中的应用前景,为实现科学化、智能化和数字化管理模式下的猪精准养殖业提供理论参考。