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The welding tracking technology of an underwater welding robot based on sliding mode active disturbance rejection control 基于滑模自抗扰控制的水下焊接机器人焊接跟踪技术
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-30 DOI: 10.1108/aa-07-2022-0171
Shengqiang Li, Xiaofan Zhang
PurposeA welding robot is a complicated system with uncertainty, time-varying, strong coupling and non-linear system. It is more complicated if it is used in an underwater environment. It is difficult to establish an accurate dynamic model for an underwater welding robot. Aiming at the tracking control of an underwater welding robot, it is difficult to achieve the control performance requirements by the classical proportional integral derivative control method to realize automatic tracking of the seam. The purpose of this paper is to suggest a novel method to deal with these issues.Design/methodology/approachTo combine the advantages of active disturbance rejection control (ADRC) and sliding mode control (SMC) to improve the shortcomings of a single control method, a hybrid control method for an underwater welding robot trajectory tracking based on SMC_ADRC is proposed in this research work.FindingsThe simulation experiment of the proposed approach is carried out by Matlab/Simulink, and the welding experiment is recorded. The seam gets plumper and smoother, with better continuity and no undercut phenomenon.Originality/valueThe proposed approach is effective and reliable, and the system’s tracking performance is stable, which can effectively reduce chattering and improve system robustness.
焊接机器人是一个具有不确定性、时变性、强耦合性和非线性的复杂系统。如果在水下环境中使用,它会更加复杂。水下焊接机器人难以建立精确的动力学模型。针对水下焊接机器人的跟踪控制,采用经典的比例-积分-微分控制方法实现焊缝的自动跟踪很难达到控制性能要求。本文的目的是提出一种处理这些问题的新方法。设计/方法/方法为了结合自抗扰控制(ADRC)和滑模控制(SMC)的优点来改善单一控制方法的缺点,本文提出了一种基于SMC_ADRC的水下焊接机器人轨迹跟踪混合控制方法。结果利用Matlab/Simulink对该方法进行了仿真实验,并记录了焊接实验。接缝更加饱满光滑,具有更好的连续性,没有咬边现象。独创性/价值该方法有效可靠,系统跟踪性能稳定,可以有效地减少抖振,提高系统鲁棒性。
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引用次数: 1
Online modeling of environmental constraint region for complex-shaped parts assembly 复杂形状零件装配环境约束区域的在线建模
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-25 DOI: 10.1108/aa-07-2022-0180
Shuai Gan, Yang Liu, Ziyu Chen
PurposeThe paper aims to propose a method to build environmental constraint region online in complex-shaped peg-in-hole assembly tasks.Design/methodology/approachCompared with conventional way which using computer-aided design (CAD) models of assembly parts to construct the environmental constraint region offline, the paper provides an online approach that consists of three aspects: modeling assembly parts through visual recognition, decomposing complex shapes into multiple primitive convex shapes and a numerical algorithm to simulate the peg-in-hole insertion contact. Besides, a contrast experiment is performed to validate the feasibility and effectiveness of the method.FindingsThe experiment result indicates that online construction takes less time than the offline way under the same task conditions. Furthermore, due to the CAD models of the parts are not required to be known, the method proposed in the paper has a broader application in most assembly scenarios.Originality/valueWith the improvement of customization and complexity of manufactured parts, the assembly of complex-shaped parts has drawn greater attention of many researchers. The assembly methods based on attractive region in environment (ARIE) have shown great performance to achieve high-precision manipulation with low-precision systems. The construction of environmental constraint region serves as an essential part of ARIE-based theory, directly affect the formulation and application of assembly strategies.
目的提出一种在复杂形状桩孔装配任务中在线建立环境约束区域的方法。设计/方法论/方法与传统的利用装配零件的计算机辅助设计(CAD)模型离线构建环境约束区域的方法相比,本文提供了一种在线方法,该方法包括三个方面:通过视觉识别对装配零件建模,将复杂形状分解为多个原始凸形状,并采用数值算法模拟桩孔插入接触。此外,通过对比实验验证了该方法的可行性和有效性。实验结果表明,在相同的任务条件下,在线构建比离线构建耗时更少。此外,由于零件的CAD模型不需要已知,本文提出的方法在大多数装配场景中都有更广泛的应用。独创性/价值随着制造零件的定制化和复杂性的提高,复杂形状零件的装配越来越受到许多研究人员的关注。基于环境中吸引区域的装配方法在低精度系统中实现高精度操作方面表现出了良好的性能。环境约束区域的构建是ARIE理论的重要组成部分,直接影响装配策略的制定和应用。
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引用次数: 0
Adaptive neural prescribed performance control for switched pure-feedback non-linear systems with input quantization 带输入量化的开关纯反馈非线性系统的自适应神经预定性能控制
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-25 DOI: 10.1108/aa-05-2022-0126
Zhong Cao, L. Zhang, A. Ahmad, F. Alsaadi, M. Alassafi
PurposeThis paper aims to investigate an adaptive prescribed performance control problem for switched pure-feedback non-linear systems with input quantization.Design/methodology/approachBy using the semi-bounded continuous condition of non-affine functions, the controllability of the system can be guaranteed. Then, a constraint variable method is introduced to ensure that the tracking error satisfies the prescribed performance requirements. Meanwhile, to avoid the design difficulties caused by the input quantization, a non-linear decomposition method is adopted. Finally, the feasibility of the proposed control scheme is verified by a numerical simulation example.FindingsBased on neural networks and prescribed performance control method, an adaptive neural control strategy for switched pure-feedback non-linear systems is proposed.Originality/valueThe complex deduction and non-differentiable problems of traditional prescribed performance control methods can be solved by using the proposed error transformation approach. Besides, to obtain more general results, the restrictive differentiability assumption on non-affine functions is removed.
目的研究具有输入量化的切换纯反馈非线性系统的自适应预定性能控制问题。设计/方法/途径利用非仿射函数的半有界连续条件,可以保证系统的可控性。然后,引入了一种约束变量方法,以确保跟踪误差满足规定的性能要求。同时,为了避免输入量化带来的设计困难,采用了非线性分解方法。最后,通过数值仿真实例验证了所提控制方案的可行性。基于神经网络和规定的性能控制方法,提出了一种切换纯反馈非线性系统的自适应神经控制策略。独创性/价值使用所提出的误差变换方法可以解决传统规定性能控制方法的复杂推导和不可微问题。此外,为了获得更一般的结果,去掉了非仿射函数上的限制性可微性假设。
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引用次数: 9
The application of robotics and artificial intelligence in embroidery: challenges and benefits 机器人和人工智能在刺绣中的应用:挑战与益处
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-25 DOI: 10.1108/aa-07-2022-0183
Ling Chen, Zhi Su, Xiaotong He, Xiang Chen, Lin Dong
PurposeEmbroidery as a textile embellishment technique plays an important role in people's daily life. Esthetic embroidery artworks possess cultural values. With the development of robotics and artificial intelligence (AI), these technologies have been studied and applied in the embroidery process. This study aims to survey how these technologies facilitate embroidery from different aspects.Design/methodology/approachThis paper surveys how the technologies of robotics and AI are applied in the embroidery field. The applications are mainly reviewed from three aspects: computerized robotic embroidery systems has been widely used for the mass production of embroidered textiles, the advanced technological systems and techniques have greatly facilitated the development of smart textiles and the artificial intelligence plays an important role in the inheritance, innovation and protection of traditional handicraft artwork of embroidery.FindingsThe programmable robotic embroidery machines have greatly improved the production efficiency of embroidered textiles and promoted the development of electronic textiles. The AI, mainly the deep learning technology, brings significant benefits to esthetic embroidery creation. Technology-based embroidery has become a hot research topic in the field of textiles.Originality/valueThis paper summarizes the application of robotics and AI technologies in the field of embroidery, which provides readers a comprehensive and systematic understanding about the research progress of modern technology-oriented embroidery. This helps readers gain inspiration from the technology perspectives.
目的:刺绣作为一种纺织装饰技术,在人们的日常生活中发挥着重要的作用。审美刺绣艺术品具有文化价值。随着机器人技术和人工智能(AI)的发展,这些技术被研究并应用于刺绣工艺中。本研究旨在探讨这些技术如何从不同方面促进刺绣。设计/方法/途径本文综述了机器人技术和人工智能技术在刺绣领域的应用。主要从三个方面对其应用进行了综述:计算机化机器人刺绣系统已广泛应用于刺绣纺织品的批量生产;先进的技术系统和工艺极大地促进了智能纺织品的发展;人工智能在传统刺绣工艺的继承、创新和保护中发挥了重要作用。发现可编程机器人绣花机大大提高了绣花纺织品的生产效率,促进了电子纺织品的发展。人工智能,主要是深度学习技术,为美学刺绣创作带来了显着的好处。技术刺绣已成为纺织领域的研究热点。原创性/价值本文综述了机器人技术和人工智能技术在刺绣领域的应用,让读者全面、系统地了解现代技术导向型刺绣的研究进展。这有助于读者从技术角度获得灵感。
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引用次数: 3
Automatic tolerance analyses by generation of assembly graph and mating edges from STEP AP 242 file of mechanical assembly 利用STEP ap242文件生成装配图和配合边进行公差自动分析
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-17 DOI: 10.1108/aa-11-2021-0155
Mukunthan S., Manu R., D. Lawrence K.
PurposeThis paper aims to propose a method to automate the tolerance analyses of mechanical assembly using STandard for the Exchange of Product model data-Application Protocol Part 242 (STEP AP 242) files derived from the 3-D computer-aided design (CAD) models.Design/methodology/approachProduct manufacturing information and mating information available in ISO 10303 STEP AP242 files resulting from the 3-D CAD model of mechanical assembly are extracted. The extracted geometric attributes, geometric dimensioning and tolerancing (GD&T) and mating information are used to automatically generate assembly graph and mating edges required for the tolerance analyses of the mechanical assembly by using the matrix approach.FindingsThe feasibility of the proposed method is verified through two mechanical assembly case studies. The results of manual calculations and tolerance values computed by the automated method are very closely matching.Practical implicationsTolerance analysis is an integral part of product development that directly influences the cost and performance of a product. Apart from the academic interest, the work is expected to have positive implications for the digital design and smart manufacturing industry that involve in the development of solutions for automation of design and manufacturing system functions.Originality/valueThe approach presented in the paper that aids the automation of tolerance analyses of mechanical assembly is an innovative application of the STEP AP 242 file. The automation of tolerance analyses would improve the productivity and efficiency of the product realization process.
目的本文旨在提出一种使用从三维计算机辅助设计(CAD)模型导出的产品模型数据交换标准应用协议第242部分(STEP AP 242)文件来自动进行机械装配公差分析的方法。从机械装配的三维CAD模型中提取ISO 10303 STEP AP242文件中可用的产品制造信息和配合信息。提取的几何属性、几何尺寸标注和公差(GD&T)以及配合信息用于使用矩阵方法自动生成机械装配公差分析所需的装配图和配合边。通过两个机械装配实例验证了该方法的可行性。手动计算的结果与自动方法计算的公差值非常匹配。实际含义公差分析是产品开发的一个组成部分,它直接影响产品的成本和性能。除了学术兴趣之外,这项工作预计将对数字设计和智能制造行业产生积极影响,这些行业涉及设计和制造系统功能自动化解决方案的开发。独创性/价值本文提出的有助于机械装配公差分析自动化的方法是STEP AP 242文件的创新应用。公差分析的自动化将提高产品实现过程的生产力和效率。
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引用次数: 0
Tolerance analysis of planar parts with skin modeling considering spatial distribution characteristics of surface morphology and local surface deformations 考虑表面形貌空间分布特征和局部表面变形的蒙皮建模平面零件公差分析
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-10 DOI: 10.1108/aa-07-2022-0198
Tuanhui Shen, Cong Lu
PurposeThis paper aims to develop a method to improve the accuracy of tolerance analysis considering the spatial distribution characteristics of part surface morphology (SDCPSM) and local surface deformations (LSD) of planar mating surfaces during the assembly process.Design/methodology/approachFirst, this paper proposes a skin modeling method considering SDCPSM based on Non-Gaussian random field. Second, based on the skin model shapes, an improved boundary element method is adopted to solve LSD of nonideal planar mating surfaces, and the progressive contact method is adopted to obtain relative positioning deviation of mating surfaces. Finally, the case study is given to verify the proposed approach.FindingsThrough the case study, the results show that different SDCPSM have different influences on tolerance analysis, and LSD have nonnegligible and different influence on tolerance analysis considering different SDCPSM. In addition, the LSD have a greater influence on translational deviation along the z-axis than rotational deviation around the x- and y-axes.Originality/valueThe surface morphology with different spatial distribution characteristics leads to different contact behavior of planar mating surfaces, especially when considering the LSD of mating surfaces during the assembly process, which will have further influence on tolerance analysis. To address the above problem, this paper proposes a tolerance analysis method with skin modeling considering SDCPSM and LSD of mating surfaces, which can help to improve the accuracy of tolerance analysis.
目的考虑装配过程中零件表面形态(SDCPSM)和平面配合面的局部表面变形(LSD)的空间分布特征,提出一种提高公差分析精度的方法。设计/方法论/方法首先,本文提出了一种基于非高斯随机场的考虑SDCPSM的皮肤建模方法。其次,基于蒙皮模型形状,采用改进的边界元法求解非理想平面配合面的LSD,并采用渐进接触法获得配合面的相对定位偏差。最后,通过实例验证了该方法的有效性。通过实例研究,结果表明,不同的SDCPSM对公差分析有不同的影响,考虑不同的SDCMPSM,LSD对公差分析的影响是不可忽略的。此外,LSD对沿z轴的平移偏差的影响大于对绕x轴和y轴的旋转偏差的影响。起源/值具有不同空间分布特征的表面形态导致平面配合面的接触行为不同,尤其是在考虑装配过程中配合面的LSD时,这将对公差分析产生进一步的影响。针对上述问题,本文提出了一种考虑配合面的SDCPSM和LSD的皮肤建模公差分析方法,该方法有助于提高公差分析的准确性。
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引用次数: 1
An industrial heterogeneous data based quality management KPI visualization system for product quality control 基于工业异构数据的产品质量管理KPI可视化系统
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-09 DOI: 10.1108/aa-05-2022-0139
Ruihan Zhao, Liang Luo, Pengzhong Li, Jinguang Wang
PurposeQuality management systems are commonly applied to meet the increasingly stringent requirements for product quality in discrete manufacturing industries. However, traditional experience-driven quality management methods are incapable of handling heterogeneous data from multiple sources, leading to information islands. This study aims to present a quality management key performance indicator visualization (QM-KPIVIS) system to enable integrated quality control and ultimately ensure product quality.Design/methodology/approachBased on multiple heterogeneous data, an integrated approach is proposed to quantify explicitly the relationship between Internet of Things data and product quality. Specifically, this study identifies the tracing path of quality problems based on multiple heterogeneous quality information tree. In addition, a hierarchical analysis approach is adopted to calculate the key performance indicators of quality influencing factors in the quality control process.FindingsProposed QM-KPIVIS system consists of data visualization, quality problem processing, quality optimization and user rights management modules, which perform in a well-coordinated manner. An empirical study was also conducted to validate the effectiveness of proposed system.Originality/valueTo the best of the authors’ knowledge, this study is the first attempt to use industrial Internet of Things and multisource heterogeneous data for integrated product quality management. Proposed approach is more user-friendly and intuitive compared to traditional empirically driven quality management methods and has been initially applied in the manufacturing industry.
目的质量管理系统通常用于满足离散制造业对产品质量日益严格的要求。然而,传统的经验驱动的质量管理方法无法处理来自多个来源的异构数据,导致信息孤岛。本研究旨在提出一个质量管理关键绩效指标可视化(QM-KPIVIS)系统,以实现综合质量控制,并最终确保产品质量。设计/方法论/方法基于多个异构数据,提出了一种集成方法来明确量化物联网数据与产品质量之间的关系。具体而言,本研究基于多个异构质量信息树确定了质量问题的跟踪路径。此外,采用层次分析方法计算质量控制过程中质量影响因素的关键绩效指标。FindingsProposed QM-KPIVIS系统由数据可视化、质量问题处理、质量优化和用户权限管理模块组成,这些模块以良好的协调方式运行。还进行了实证研究以验证所提出的系统的有效性。独创性/价值据作者所知,本研究首次尝试使用工业物联网和多源异构数据进行集成产品质量管理。与传统的经验驱动的质量管理方法相比,所提出的方法更方便用户,更直观,并已初步应用于制造业。
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引用次数: 1
Geometric modeling analysis method for stacking assembly deviation of aero engine rotor 航空发动机转子叠装偏差的几何建模分析方法
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-08 DOI: 10.1108/aa-05-2022-0130
Zesheng Wang, Dongbo Wu, Haibo Wang, Jiawei Liang, Jingguang Peng
PurposeAssembly errors of aeroengine rotor must be controlled to improve the aeroengine efficiency. However, current method cannot truly reflect assembly errors of the rotor in working state owing to difficulties in error analysis. Therefore, the purpose of this study is to establish an optimization method for aeroengine rotor stacking assembly.Design/methodology/approachThe assembly structure of aeroengine rotor is featured. Rotor eccentricity is optimized based on Jacobian–Torsor model. Then, an optimization method for assembly work is proposed. The assembly process of the high-pressure compressor rotor and the high-pressure turbine rotor as the rotor core assembly is mainly considered.FindingsAn aeroengine rotor is assembled to verify the method. The results show that the predicted eccentricity differed from the measured eccentricity by 6.1%, with a comprehensive error of 8.1%. Thus, the optimization method has certain significance for rotor assembly error analysis and assembly process optimization.Originality/valueIn view of the error analysis in the stacking assembly of aeroengine rotor, an innovative optimization method is proposed. The method provides a novel approach for the aeroengine rotor assembly optimization and is applicable for the assembly of high-pressure compressor rotor and high-pressure turbine rotor as the rotor core assembly.
目的为了提高航空发动机的效率,必须控制航空发动机转子的装配误差。然而,由于误差分析的困难,目前的方法不能真实地反映转子在工作状态下的装配误差。因此,本研究的目的是建立航空发动机转子叠置组件的优化方法。设计/方法论/方法航空发动机转子的装配结构很有特色。基于雅可比-张量模型对转子偏心率进行了优化。然后,提出了一种装配作业的优化方法。主要考虑高压压缩机转子和高压涡轮机转子作为转子芯组件的组装过程。通过装配航空发动机转子来验证该方法。结果表明,预测偏心率与实测偏心率相差6.1%,综合误差为8.1%,该优化方法对转子装配误差分析和装配工艺优化具有一定意义。针对航空发动机转子叠装误差分析,提出了一种创新的优化方法。该方法为航空发动机转子装配优化提供了一种新的方法,适用于高压压缩机转子和高压涡轮转子作为转子芯组件的装配。
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引用次数: 0
Reinforcement learning control for a flapping-wing micro aerial vehicle with output constraint 具有输出约束的扑翼微型飞行器的强化学习控制
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-10-27 DOI: 10.1108/aa-05-2022-0140
Haifeng Huang, Xiaoyan Wu, Tingting Wang, Yongbin Sun, Qiang Fu
PurposeThis paper aims to study the application of reinforcement learning (RL) in the control of an output-constrained flapping-wing micro aerial vehicle (FWMAV) with system uncertainty.Design/methodology/approachA six-degrees-of-freedom hummingbird model is used without consideration of the inertial effects of the wings. A RL algorithm based on actor–critic framework is applied, which consists of an actor network with unknown policy gradient and a critic network with unknown value function. Considering the good performance of neural network (NN) in fitting nonlinearity and its optimum characteristics, an actor–critic NN optimization algorithm is designed, in which the actor and critic NNs are used to generate a policy and approximate the cost functions, respectively. In addition, to ensure the safe and stable flight of the FWMAV, a barrier Lyapunov function is used to make the flight states constrained in predefined regions. Based on the Lyapunov stability theory, the stability of the system is analyzed, and finally, the feasibility of RL in the control of a FWMAV is verified through simulation.FindingsThe proposed RL control scheme works well in ensuring the trajectory tracking of the FWMAV in the presence of output constraint and system uncertainty.Originality/valueA novel RL algorithm based on actor–critic framework is applied to the control of a FWMAV with system uncertainty. For the stable and safe flight of the FWMAV, the output constraint problem is considered and solved by barrier Lyapunov function-based control.
目的研究强化学习在具有系统不确定性的输出约束扑翼微型飞行器(FWMAV)控制中的应用。设计/方法/方法采用了一个不考虑翅膀惯性效应的六自由度蜂鸟模型。采用了一种基于行动者-评论家框架的强化学习算法,该算法由一个具有未知策略梯度的行动者网络和一个具有未知价值函数的评论家网络组成。考虑到神经网络在拟合非线性方面的良好性能及其最优特性,设计了一种参与者-评论家神经网络优化算法,其中参与者和评论家神经网络分别用于生成策略和近似成本函数。此外,为了保证FWMAV的安全稳定飞行,采用了障碍Lyapunov函数使飞行状态约束在预定义区域内。基于Lyapunov稳定性理论,分析了系统的稳定性,最后通过仿真验证了RL在FWMAV控制中的可行性。结果提出的RL控制方案在存在输出约束和系统不确定性的情况下能够很好地保证FWMAV的轨迹跟踪。提出了一种基于角色-评价框架的强化学习算法,并将其应用于具有系统不确定性的FWMAV控制中。为了实现FWMAV的稳定安全飞行,考虑了输出约束问题,并采用基于barrier Lyapunov函数的控制方法进行了求解。
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引用次数: 1
A detailed review and analysis of assembly line rebalancing problems 装配线再平衡问题的详细回顾和分析
IF 2.1 4区 计算机科学 Q2 Engineering Pub Date : 2022-10-21 DOI: 10.1108/aa-02-2022-0031
Tolga Çimen, A. Baykasoğlu, Şebnem DEMİRKOL AKYOL
PurposeVarious approaches and algorithms have been proposed since the 1950s to solve the assembly line (AL) balancing problem. These methods have established an AL configuration from the beginning. However, a prebalanced AL may have to be rebalanced in real life for many reasons, such as changes in the cycle time, production demand, product features or task operation times. This problem has increasingly attracted the interest of scientists in recent years. This study aims to offer a detailed review of the assembly line rebalancing problems (ALRBPs) to provide a better insight into the theoretical and practical applications of ALRBPs.Design/methodology/approachA structured database search was conducted, and 41 ALRBP papers published between 2005 and 2022 were classified based on the problem structure, objective functions, problem constraints, reasons for rebalancing, solution approaches and type of data used for solution evaluation. Finally, future research directions were identified and recommended.FindingsSingle model, straight lines with deterministic task times were the most studied type of the ALRBPs. Eighteen percent of the studies solved worker assignment problems together with ALRBP. Product demand and cycle time changes were the leading causes of the rebalancing need. Furthermore, seven future research opportunities were suggested.Originality/valueAlthough there are many review studies on AL balancing problems, to the best of the authors’ knowledge, there have been no attempts to review the studies on ALRBPs.
目的自20世纪50年代以来,人们提出了各种方法和算法来解决装配线(AL)平衡问题。这些方法从一开始就建立了一个ai配置。然而,预平衡的人工智能在现实生活中可能由于许多原因而不得不重新平衡,例如周期时间、生产需求、产品特性或任务操作时间的变化。近年来,这个问题日益引起科学家们的兴趣。本研究旨在对装配线再平衡问题(alrbp)进行详细回顾,以更好地了解装配线再平衡问题的理论和实际应用。设计/方法/方法进行结构化数据库检索,根据问题结构、目标函数、问题约束、再平衡原因、解决方法和用于解决方案评估的数据类型,对2005 - 2022年发表的41篇ALRBP论文进行分类。最后,对未来的研究方向进行了展望。结果:单模型、具有确定性任务时间的直线是被研究最多的alrbp类型。18%的研究与ALRBP一起解决了工人分配问题。产品需求和周期时间的变化是再平衡需求的主要原因。最后,提出了今后的研究方向。原创性/价值虽然有很多关于人工智能平衡问题的综述性研究,但据笔者所知,还没有人试图对人工智能平衡的研究进行综述。
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引用次数: 0
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Assembly Automation
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