Evaluating the conceptual design schemes of complex products based on FAHP using fuzzy number

In the conceptual design stage of complex products, CBR（Case-Based Reasoning） tool is useful to offer a feasible set of schemes. Then the most adaptive scheme can be generated through a procedure of comparison and evaluation. The procedure is essentially a multiple criteria decision-making problem. The traditional multiple criteria programming is not flexible enough in executing the system evaluation algorithm due to both the limited experimental data and the lack of human experiences. To make the CBR tool to be more efficient, a new method for the best choice among the feasible schemes based on the Fuzzy AHP using Fuzzy numbers （FFAHP） is proposed. Since the final results become a problem of ranking the mean of fuzzy numbers by the optimism of decision-maker using the FFAHP, its execution is much more intuitive and effective than with the traditional method.

Predicting Model for Complex Production Process Based on Dynamic Neural Network

Based on the comparison of several methods of time series predicting, this paper points out that it is necessary to use dynamic neural network in modeling of complex production process. Because self feedback and mutual feedback are adopted among nodes at the same layer in Elman network, it has stronger ability of dynamic approximation, and can describe any non linear dynamic system. After the structure and mathematical description being given, dynamic back propagation (BP) algorithm of training weights of Elman neural network is deduced. At last, the network is used to predict ash content of black amber in jigging production process. The results show that this neural network is powerful in predicting and suitable for modeling, predicting, and controling of complex production process.

Object registration using an RGB-D camera for complex product augmented assembly guidance

Background Augmented assembly guidance aims to help users complete assembly operations more efficiently and quickly through augmented reality technology,breaking the limitations of traditional assembly guidance technology which is single in content and boring in way.Object registration is one of the key technologies in augmented assembly guidance process,which can affect the location and direction of virtual assembly guidance information in real assembly environment.Methods This paper presents an object registration method based on RGB-D camera,which combines Lucas-Kanade(LK)optical flow algorithm and Iterative Closet Point(ICP)algorithm.An augmented assembly guidance system for complex products through this method is built.Meanwhile,in order to compare the effectiveness of the proposed method,we also implemented object registration based on an open source augmented reality SDK Vuforia.Results An engine model and a complex weapon cabin equipment are taken as an case to verify this work.The result shows that the registration method proposed in this paper is more accurate and stable compared with that based on Vuforia and the augmented assembly guidance system through this method greatly improves the user's time compared with the traditional assembly.Conclusions Therefore,we can conclude that the object registration method mentioned in this paper can be well applied in the augmented assembly guidance system,which can do enhance the efficiency of assembly considerably.

A method of manufacturing process modeling based on activity network for large-sized and complex products

Simulation technique is an efficient approach to realize the planning and scheduling of manufacturing process of products. An appropriate and efficient manufacturing process model is the basis and key of manufacturing process simulation. By analyzing the features of large-sized and complex products, a method of manufacturing process modeling based on activity network is presented and a mapping algorithm of translating BOM/BOP into the manufacturing process model is designed in detail.

Special Issue on Innovative Design of Complex Products

With the development of science and technology as well as the diversification and individualization of market demand,modern products update more and more rapidly.e rapid development of new products to satisfy the increasingly improved and personalized customer demands greatly depends on the progress in the innovative design theory and performance optimization

Response surface methodology-based hybrid robust design optimization for complex product under mixed uncertainties

Minimizing the impact of the mixed uncertainties(i.e.,the aleatory uncertainty and the epistemic uncertainty) for a complex product of compliant mechanism(CPCM) quality improvement signifies a fascinating research topic to enhance the robustness.However, most of the existing works in the CPCM robust design optimization neglect the mixed uncertainties, which might result in an unstable design or even an infeasible design. To solve this issue, a response surface methodology-based hybrid robust design optimization(RSM-based HRDO) approach is proposed to improve the robustness of the quality characteristic for the CPCM via considering the mixed uncertainties in the robust design optimization. A bridge-type amplification mechanism is used to manifest the effectiveness of the proposed approach. The comparison results prove that the proposed approach can not only keep its superiority in the robustness, but also provide a robust scheme for optimizing the design parameters.

A Design Method with Knowledge Modeling for Complex Product Based on Ontology

Innovation design for complex products is a difficult issue in the military manufacturing industry. Ontology may provide a feasible way to rebuild the design process for complex products via sharing and reusing of design knowledge. In this paper, a design method used in the innovation design process of the complex products with knowledge modeling is proposed. Knowledge modeling is realized through ontology construction by combining the cycling evolutional theory of constructing ontology and OWL (Ontology Web Language)-based knowledge representation. As a case study, the satellite is selected as one of the complex products. The application domain of the satellite ontology is analyzed. According to the analysis result, the knowledge structure of satellite ontology is put forward based on OWL. The application of satellite product design shows that the method can effectively organize and reuse the knowledge resources in the innovation design of complex product and help companies to create more competitive products based on the existing knowledge and experience.

A Collaborative Platform for Complex Product Development Based on Multi-Domain Unified Modeling and Simulation

In order to intensify market competition, manufacturing enterprises must improve their product innovation capability. It is difficult to integrate the system modeling, simulation and collaborative process management in complex product development. A collaborative platform for complex product development based on multi-domain unified modeling and simulation is proposed in this paper. The architecture of the platform is firstly stated. The idea and realization of three key technologies, i.e. multi-domain modeling and simulation for complex product, knowledge management for product design and simulation, multi-domain collaborative mechanism, are emphasized. Finally, an industry case is given. The demonstration of the system shows that integration architecture is the effective infrastructure for multi-domain collaborative product development.

Modeling Analysis of Complex Products Resource Integration Behavior Under Distributed Collaborative Technology Innovation Mode

According to new features of distributed technology innovation collaboration of complex products of China’s aviation,in the multi-agent collaborative R&D process,between main manufacturer and suppliers,this paper summarizes the organizational structure and characteristics of collaborative mode of distributed technology innovation of complex products,basing on the technological innovation and resource integration of complex products,and treating resource contribution rate as a key parameter. It establishes multi-agent resource integration collaborative symbiosis model under distributed collaborative technology innovation mode based on symbiosis theory. And finds that some factors such as the basic attributes of the enterprise,the mutual influence of resources among enterprises and the behavior decision of the main manufacturer have some effects on the resource integration using stability analysis and simulation analysis,which provides a theoretical basis for the main manufacturer to optimize the behavior of suppliers’ resource integration.

SOME RESULTS ON PRODUCT COMPLEX FINSLER MANIFOLDS

Let （M, F ） be the product complex Finsler manifold of two strongly pseudoconvex complex Finsler manifolds （M 1 , F 1 ） and （M 2 , F 2 ）. In this paper, we obtain the relationship between the Chern Finsler connection coefficients Γ i ; k associated to F and the Chern Finsler connection coefficients Γ a ; c , Γα ; γ associated to F 1 , F 2 , respectively. As applications we prove that, if both （M 1 , F 1 ） and （M 2 , F 2 ） are strongly Ka¨hler Finsler （complex Berwald, or locally complex Minkowski, respectively） manifolds, so does （M, F ）. Furthermore, we prove that the holomorphic curvature K F = 0 if and only if K F1 = 0 and K F2 = 0.

ON DOUBLY WARPED PRODUCT OF COMPLEX FINSLER MANIFOLDS

Let （M1, F1） and （M2, F2） be two strongly pseudoconvex complex Finsler man- ifolds. The doubly wraped product complex Finsler manifold （f2 M1 x h M2, F） of （M1, F1） and （M2, F2） is the product manifold M1 x M2 endowed with the warped product complex 2 2 Finsler metric F2 = f2F1 ＋ fl F2, where fl and f2 are positive smooth functions on M1 and M2, respectively. In this paper, the most often used complex Finsler connections, holomorphic curvature, Ricci scalar curvature, and real geodesics of the DWP-complex Finsler manifold are derived in terms of the corresponding objects of its components. Necessary and sufficient conditions for the DWP-complex Finsler manifold to be K/ihler Finsler （resp., weakly K/ihler Finsler, complex Berwald, weakly complex Berwald, complex Landsberg） manifold are ob- tained, respectively. It is proved that if （M1, F1） and （M2,F2） are projectively flat, then the DWP-complex Finsler manifold is projectively flat if and only if fl and f2 are positive constants.

COMPLEX INNER PRODUCT AVERAGING METHOD FOR CALCULATING NORMAL FORM OF ODE

This paper puts forward a complex inner product averaging method for calculating normal form of ODE. Compared with conventional averaging method, the theoretic analytical process has such simple forms as to realize computer program easily. Results can be applied in both autonomous and non-autonomous systems. At last, an example is resolved to verify the method.

CARBONACEOUS PRODUCTS OF POLYMER-PALLADIUM COMPLEXES AS CATALYSTS FOR THE HYDROGENATION OF METHYL ACRYLATE

Many catalysts were pcrpared by carbonization of ion exchange resin-PdCl_2 complexes at high temperature in nitrogen, hydrogen atmosphere. The rates for the hydrogenation of methyl acrylate and the amounts of Pd elution of the carbonaceous products were measured and compared with those of commercial Pd/C catalyst. It indicates that the carbonaceous products are less active than Pd/C. However, the leaching of Pd from carbonaceous products is very small and much less than that from Pd/C.

高技术复杂度工业机器人与全球价值链生产环节攀升

在科学识别工业机器人技术复杂度和价值链生产环节偏优指数的基础上,从多维度剖析高技术复杂度工业机器人对制造业全球价值链生产环节攀升的作用机制,并检验高技术复杂度工业机器人的“断供”威胁应对效应。得到的结论主要有:(1)高技术复杂度工业机器人对制造业全球价值链生产环节攀升具有促进作用。高技术复杂度工业机器人不仅能推动制造业生产技术与工艺从后发跻身准前沿和前沿,还能提升产业链关键核心环节的自主可控程度。(2)高技术复杂度工业机器人不仅有助于提升产业的价格加成能力,还有助于提升高端要素资源汇聚能力,更能提升政府支持的概率,上述渠道也使高技术复杂度工业机器人对生产环节攀升表现出正效应。(3)高技术复杂度工业机器人不仅能降低样本国对美国中间品的依赖程度,还能降低其对美国和主要盟友中间品的依赖程度。为此,高技术复杂度工业机器人能有效降低美国及其主要盟国“断供”威胁的不利冲击。(4)全球价值链生产环节偏优指数过高和工业机器人技术复杂度偏低共存窘境,使中国工业机器人应用深陷“量大技术弱”和对全球价值链生产环节攀升促进作用相对有限之痛,破解这一痛处的关键在于不断提升中国工业机器人技术的前沿性。

复杂产品人工智能生产调度研究

针对复杂产品生产调度协同性不足问题,提出一种基于关键链的多产品人工智能生产调度模式。结合复杂产品时序约束特点,以最小产品拖期和在制品库存为优化目标,搭建了基于关键链的多产品项目人工智能生产调度优化模型,基于遗传算法与模拟退火算法,设计了遗传退火算法(GA-SA)对多产品项目人工智能生产调度优化模型求解,并以某重型机械企业生产的矿渣立磨为例验证了优化模型和智能算法的有效性,实现了复杂产品生产调度精益性和智能性目标,研究结果表明:采用GA-SA+关键链调度方法,产品可以做到准时交付且在制品库存减少24%。

基于复杂网络的复杂产品系统关键节点辨识

复杂产品系统具有规模大、结构复杂等特点,从系统结构的视角辨识复杂产品系统关键节点,对于“事前”定位潜在风险源具有重要意义。针对目前“事后”追溯风险源难以保证复杂产品系统可靠运行及风险管理前瞻性等问题,考虑复杂产品系统的层级结构和子系统间风险的相互影响,提出了一种可用于“事前”风险管理的关键节点辨识方法。首先依据系统结构建立复杂网络;然后,构造零模型并结合网络统计特征初步划分节点集合,在此基础上引入线性阈值模型分析节点风险传播影响力,并基于风险的动态传播特征选取关键节点;最后,采用新舟700飞机的系统结构进行实证分析。结果表明,提出的方法有效地辨识了复杂产品系统的关键节点。

基于网络演算的复杂产品系统供应商风险度量

复杂产品系统研制过程中供应商之间协同设计制造复杂性高,风险通过供应商间的协作关系相互作用和传导。面向复杂产品系统,构建供应商层次网络,考虑供应商风险累积与风险应对及时性的交互影响,通过引入通信领域网络演算理论,基于积压和时延性能指标刻画风险的特征,将不确定的供应商风险量化问题转化为最坏边界求值问题,实现风险的确界度量。以航空复杂产品系统为例对模型进行验证,可以辨识供应商在协同研制过程中面临的重要风险,为复杂产品系统供应商风险管理提供参考依据。

重复压裂裂缝系统产能对比与分析

单井重复压裂的裂缝生成模式可以分为两种形式,包括在井筒处形成新的转向裂缝以及在原有裂缝的基础上形成扩充缝。如何评价重复压裂后不同形式裂缝系统下油气井的产能,对优化重复压裂施工方案至关重要。以重复压裂产生的两种不同复杂裂缝系统为研究对象,利用嵌入式离散裂缝方法建立数值模型,开展重复压裂后转向型和扩充型裂缝系统的生产规律研究,明确不同裂缝系统对井产能的影响。研究发现:储层及裂缝参数会在不同程度上影响重复压裂后井的产能,且对扩充型裂缝系统的影响程度始终大于转向型裂缝系统。考虑储层基质渗透率各向异性,正交于初始裂缝延伸方向的基质渗透率越大,重复压裂后增产效果越好,并且扩充型裂缝系统累计产量升高更显著。重复压裂裂缝与初始裂缝越趋向于正交,重复压裂后增产效果越明显,扩充型裂缝系统的增产率高于转向型裂缝系统。重复压裂裂缝渗透率和重复压裂裂缝长度均与重复压裂井产能提升呈现正相关,且扩充型裂缝系统的累计产量增大趋势更显著。结果表明,扩充型裂缝系统能更加有效地提高重复压裂井产能,为重复压裂增产机理与矿场应用结合提供理论指导。

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。