Journal of Manufacturing Systems最新文献

Virtual reconstruction-based digital twin shop floor: theoretical methodology, industrial software, and applications 基于虚拟重建的数字孪生车间：理论方法、工业软件和应用

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-10-04 DOI: 10.1016/j.jmsy.2025.09.019

Guofu Ding , Mingyuan Liu , Haojie Chen , Jian Zhang , Shuying Wang , Jiaxiang Xie

{"title":"Virtual reconstruction-based digital twin shop floor: theoretical methodology, industrial software, and applications","authors":"Guofu Ding , Mingyuan Liu , Haojie Chen , Jian Zhang , Shuying Wang , Jiaxiang Xie","doi":"10.1016/j.jmsy.2025.09.019","DOIUrl":"10.1016/j.jmsy.2025.09.019","url":null,"abstract":"<div><div>Digital Twin (DT) has become a key enabling technology for intelligent upgrading in discrete manufacturing shops. However, existing research primarily focuses on specific production applications, lacking consideration of the continuity across the overall production operation cycle. Such decentralized research leads to model fragmentation, data silos, and logical inconsistencies among multiple application scenarios such as pre-production planning, in-production execution, and post-production analysis, making effective integration and collaboration difficult. To address these challenges, this paper proposes a Seven-Element virtual reconstruction theory that enables consistent modeling of production elements, organizational forms, and execution logic. Based on this theory, a DT shop construction and operation framework centered on unified production logic is developed to support seamless integration and collaboration of various production applications. Additionally, operation methods for three core production applications of DT shop execution, simulation, and monitoring are systematically developed, establishing an overall technical system throughout the entire production cycle driven by a unified model. Corresponding DT industrial software systems are developed to support engineering implementation of the proposed methods. Validation through an actual shop floor demonstrates that the proposed method effectively achieves model unification and data fusion across multiple application scenarios, enhances both effectiveness and consistency of DT shop construction and operation.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 424-444"},"PeriodicalIF":14.2,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective chaotic evolutionary-based cell configuration and load balancing for reconfigurable production lines 基于多目标混沌进化的可重构生产线单元配置与负载平衡

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-10-04 DOI: 10.1016/j.jmsy.2025.09.017

Jiaming Zhang , Jiewu Leng , Xuming Lai , Libin Lin , Linshan Ding , Lei Yue

{"title":"Multi-objective chaotic evolutionary-based cell configuration and load balancing for reconfigurable production lines","authors":"Jiaming Zhang , Jiewu Leng , Xuming Lai , Libin Lin , Linshan Ding , Lei Yue","doi":"10.1016/j.jmsy.2025.09.017","DOIUrl":"10.1016/j.jmsy.2025.09.017","url":null,"abstract":"<div><div>With the continuous advancement of intelligent manufacturing, the reconfigurable manufacturing system (RMS) has become an important development direction for modern manufacturing industry by virtue of its high degree of flexibility and reconfigurable characteristics. As a concrete realization form of RMS, reconfigurable automated production line (RAPL) provides an effective technical path to cope with diversified and individualized market demands. In this study, a multi-constraint mathematical model is constructed around the cell configuration and balance optimization problem in RAPL, taking into account the different production line organization methods and cell service modes. Multi-objectives are established involving the minimization of the cycle time, the smoothing index among the manufacturing cells, and the total number of machines of the RAPL. Recognizing the collaborative interaction between mobile robots and machines, a specific theoretical cycle time derivation method is proposed for this RAPL system, and a general-purpose simulation model is designed to support the evaluation and optimization of multiple configuration schemes, thereby verifying the accuracy of the derivation model (with an error of only 1.5 %). To overcome the inefficiency and trial-and-error nature of manual methods, a multi-objective chaotic evolutionary algorithm (MOCEO) is developed. MOCEO demonstrates superior performance and stability, achieving high-quality solutions in a single run and outperforming classical algorithms such as NSGA-II and SPEA2 in hypervolume (HV), distance (GD) and other metrics. The proposed approach provides reliable decision-making support, enabling efficient and effective configuration and balancing of RAPL systems.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 445-469"},"PeriodicalIF":14.2,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Controlled assembly of random threads based on large language models 基于大型语言模型的随机线程控制装配

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-29 DOI: 10.1016/j.jmsy.2025.09.014

Liping Ma , Zhengjie Yang , Hongjuan Yan , Dehu Gao , Xurong Gong

{"title":"Controlled assembly of random threads based on large language models","authors":"Liping Ma , Zhengjie Yang , Hongjuan Yan , Dehu Gao , Xurong Gong","doi":"10.1016/j.jmsy.2025.09.014","DOIUrl":"10.1016/j.jmsy.2025.09.014","url":null,"abstract":"<div><div>In precision assembly scenarios such as aerospace and automotive engineering, the random starting positions of internal and external threads pose a significant challenge. While achieving specified tightening torque ranges is critical for sealing integrity, precisely controlling the final orientation of threaded connections remains difficult for varying thread pairings. This study proposes a framework integrating visual feature extraction with pre-trained large language models (LLMs) to enable controlled assembly of randomly aligned threads. Using the directional tightening process of hydraulic cylinder barrels and pipe fittings as a case study, the method’s feasibility is validated: First, computer vision techniques extract thread assembly features; then, servo-driven tightening devices perform directional tightening experiments on different fittings, with results recorded. Through structured prompt engineering, assembly parameters, visual features, and experimental outcomes are input into the LLM, the gasket thickness and thread phase are regarded as the controlled input variables, while the collaborative condition judgment of tightening torque and end orientation serves as the output variables. Results demonstrate that pre-trained LLMs, unlike traditional deep learning methods, not only adapt to raw data but also accurately predict directional tightening outcomes for randomly selected shims without requiring additional training. This work provides a novel approach for applying LLMs in precision assembly.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 392-404"},"PeriodicalIF":14.2,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-aided Automated AR-Assisted Assembly Instruction Authoring and Generation method 人工智能辅助的自动装配指令编写与生成方法

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-29 DOI: 10.1016/j.jmsy.2025.08.019

Junjian Lin, Jianjian Wang, Pingfa Feng, Xiangyu Zhang, Dingwen Yu, Jianfu Zhang

{"title":"AI-aided Automated AR-Assisted Assembly Instruction Authoring and Generation method","authors":"Junjian Lin, Jianjian Wang, Pingfa Feng, Xiangyu Zhang, Dingwen Yu, Jianfu Zhang","doi":"10.1016/j.jmsy.2025.08.019","DOIUrl":"10.1016/j.jmsy.2025.08.019","url":null,"abstract":"<div><div>While Augmented Reality (AR) offers the potential to provide real-time guidance, one of the barriers to its adoption in industrial assembly is the lack of fast, no-code, intelligent methods for generating AR-assisted assembly programs. This paper proposes an AI-aided AR-Assisted Assembly Instruction Authoring and Generation method (ARAIAG) to address these challenges. ARAIAG allows engineers, without coding expertise, to intuitively design AR-assisted assembly instructions based on assembly demonstrations captured through RGBD cameras. Based on ARAIAG, we propose a new algorithm considering hand manipulation and model characteristics to achieve spatial registration for models, virtual-physical fusion, and assembly direction recognition. Additionally, we employed a novel human–computer interaction method and Large Language Model (LLM)-assisted content generation to achieve the automatic creation of interactive and instructive AR-assisted assembly programs. Through this approach, we streamline program development and enable more efficient AR-assisted assembly in dynamic manufacturing environments.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 405-423"},"PeriodicalIF":14.2,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise 有限夹具-托盘和材料-托盘的柔性托盘自动化系统调度：来自某发动机制造企业的案例研究

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-26 DOI: 10.1016/j.jmsy.2025.09.015

Yulu Zhou , Shichang Du , Jun Lv , Xiaoxiao Shen , Andrea Matta , Siyang Wang

{"title":"Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise","authors":"Yulu Zhou , Shichang Du , Jun Lv , Xiaoxiao Shen , Andrea Matta , Siyang Wang","doi":"10.1016/j.jmsy.2025.09.015","DOIUrl":"10.1016/j.jmsy.2025.09.015","url":null,"abstract":"<div><div>Pallet automation system (PAS) is crucial for enterprises to organize and schedule limited resources, such as fixture-pallets (FPs) and material-pallets (MPs). In customized production, FPs are often insufficient and unbalanced. To address this, MPs are prepared to store workpieces to release FPs' capacity. In this way, FPs are utilized for processing, while MPs are leveraged for storage. However, existing studies mainly focus on fixtures that are fixed to machines and rarely consider FPs and MPs. To address this gap, this paper investigates the flexible pallet automation system scheduling with limited FPs and MPs (FPASFM). Firstly, a mathematical model is established to minimize the makespan. Secondly, a five-layer encoding strategy, a new decoding method, and a feasibility correction strategy are integrated to obtain feasible solutions. Thirdly, an improved meta-heuristic algorithm with rule-based initialization and critical path mutation (IMHRC) is proposed. Finally, effective initialization rule combinations are identified through experiments with 36 different rule combinations. 15 real-data case studies show that IMHRC outperforms six other algorithms. Additionally, IMHRC significantly reduces makespan by 59.66 % and 45.90 % for two real orders, while enhancing resource utilization. IMHRC demonstrates the ability to obtain superior solutions in a shorter time, with its advantages in large-scale problems, effectively meeting the practical demands of enterprises in real-world production environments.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 357-371"},"PeriodicalIF":14.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A unified V-shaped digital twin modeling paradigm of aircraft assembly systems for improving modeling accuracy and assembly quality 为提高飞机装配系统的建模精度和装配质量，提出了统一的v型数字孪生建模范式

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-26 DOI: 10.1016/j.jmsy.2025.09.013

Ruihao Kang , Junshan Hu , Xingtao Su , Zhengping Li , Zhanghu Shi , Wei Tian

{"title":"A unified V-shaped digital twin modeling paradigm of aircraft assembly systems for improving modeling accuracy and assembly quality","authors":"Ruihao Kang , Junshan Hu , Xingtao Su , Zhengping Li , Zhanghu Shi , Wei Tian","doi":"10.1016/j.jmsy.2025.09.013","DOIUrl":"10.1016/j.jmsy.2025.09.013","url":null,"abstract":"<div><div>Digital Twin (DT) technology is one of the key approaches to enhancing the intelligence of aircraft assembly equipment. However, the diversity of such equipment types and significant structural differences present substantial challenges to the development of DT models. This article proposes a unified V-shaped DT modeling paradigm to support high-accuracy and structured modeling. The robotic drilling system is used as an example to validate this paradigm. The modeling requirements of this system are established based on a comprehensive analysis of its structural characteristics and operational tasks. A corresponding virtual entity is constructed through parametric modeling based on kinematic analysis. The behavior model represents the interaction protocols and decision logic of the physical system, with basic modules for communication and behavioral analysis. These modules are then systematically integrated to form a complete task model for drilling. The structural validation of the virtual entity is performed, accompanied by the formulation of behavioral matching degree and task execution consistency to evaluate the effectiveness of the proposed modeling paradigm. Meanwhile, kinematic parameter identification is integrated to calibrate the virtual entity, thereby further enhancing the DT modeling accuracy. The experimental results show that the behavior matching degree for positioning after calibration is 0.204 ± 0.228 mm, with an increase of 78.71 %. The average errors of hole position and diameter are reduced by 78.43 % and 14.27 %, respectively, after calibration. The corresponding task execution consistency is improved to 1.465 and 1.462. This indicates that the high-accuracy DT model constructed by the proposed paradigm effectively enhances the intelligence and assembly quality of the equipment.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 372-391"},"PeriodicalIF":14.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Production scheduling for human–robot collaborative assembly workstations under constraints of ergonomic fatigue and simultaneous cooperation 人体工学疲劳约束下的人机协同装配工作站生产调度

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-24 DOI: 10.1016/j.jmsy.2025.09.012

Kyu-Tae Park , Chiho Lim , Ju-Yong Lee

{"title":"Production scheduling for human–robot collaborative assembly workstations under constraints of ergonomic fatigue and simultaneous cooperation","authors":"Kyu-Tae Park , Chiho Lim , Ju-Yong Lee","doi":"10.1016/j.jmsy.2025.09.012","DOIUrl":"10.1016/j.jmsy.2025.09.012","url":null,"abstract":"<div><div>Human–robot collaboration (HRC) is a key enabler of human-centric manufacturing, achieved through cooperation between human operators and collaborative robots. HRC can be classified into three developmental phases: coexistence, sequential collaboration, and simultaneous cooperation. To address ergonomic fatigue and simultaneous cooperation (HRCAW-ES) constraints, this study introduces a novel scheduling model that integrates sequential collaboration and simultaneous cooperation, focusing on production scheduling in shared HRC assembly workstations involving one human operator and one collaborative robot. This setting accounts for key operational constraints, including operation precedence and assembly relationships, human task eligibility based on ergonomic risk factors, ergonomic fatigue accumulation and recovery following established models, sequence-dependent setup for end-effector switching on a collaborative robot, and simultaneous cooperation between the two collaborators. A mathematical model was developed to formulate an adaptive variable neighbourhood search (AVNS) algorithm and a disjunctive graph representation was employed to analyse the structural characteristics of the HRCAW-ES. An ablation study performed using both linear and nonlinear fatigue models revealed the superior performance of the proposed AVNS algorithm compared to the control group across various scenarios involving varying cooperation ratio and fatigue levels. This experiment includes results obtained using parameters collected from the small-product packaging and cable-assembly processes. Emphasis was placed on examining the impacts of ergonomic limitations and simultaneous cooperation within the scheduling framework. The proposed method generates high-quality, feasible schedules to address the complexity introduced by ergonomic constraints and cooperative requirements. The method may be extendable to a wide range of assembling processes where full automation is infeasible.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 337-356"},"PeriodicalIF":14.2,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams 基于混合增强智能的人机团队组合与优化方法

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-23 DOI: 10.1016/j.jmsy.2025.09.010

Liu Xinyu , Yuan Bingkun , Wang Pengchao , Ding Ning , Chu Jianjie

{"title":"An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams","authors":"Liu Xinyu , Yuan Bingkun , Wang Pengchao , Ding Ning , Chu Jianjie","doi":"10.1016/j.jmsy.2025.09.010","DOIUrl":"10.1016/j.jmsy.2025.09.010","url":null,"abstract":"<div><div>Recent advances in Large Language Models (LLMs) have demonstrated their unparalleled capability in collaborative design requirements mining, offering significant potential for the integration of Human–Machine Teams (HMTs) and improved efficiency in design mining processes. However, existing approaches often lack integrated frameworks capable of simultaneously addressing both the compositional and operational challenges of LLM–human teams, which hinders their effective deployment in complex, real-world scenarios. Specifically, two critical challenges remain: first, how to effectively transform LLMs into reliable domain experts capable of understanding and elaborating design requirements; and second, how to optimize HMT configurations amid inherent ambiguities in human expert evaluations. To address these gaps, we propose a novel dual-paradigm Hybrid-Augmented Intelligence (HAI) framework that integrates Cognitive Computing (CC-HAI) with Human-in-the-Loop (HITL-HAI) mechanisms. Our key contributions include a CC-HAI–based cognitive teammate mechanism that uses structured prompt engineering to transform LLMs into domain-specialized roles, facilitating the formation of collaborative HMTs; and an HITL-HAI uncertainty mitigation method that employs a Z-number-enhanced cloud modeling approach to manage subjective uncertainties in expert assessments and support robust team configuration. The framework is validated through multi-domain case studies spanning smart home systems, smart cockpits, medical devices, and baby products. Extensive experiments demonstrate its effectiveness in terms of team performance, error reduction, cross-domain generalizability, and decision-making superiority. This research provides a replicable paradigm for deploying LLMs as cognitive collaborators in collaborative design ecosystems, contributing to both theory and methodology in human–machine team intelligence.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 306-321"},"PeriodicalIF":14.2,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Remaining useful life prediction for the harmonic reducer of industrial robots via in-situ current signal and lightweight multiscale attention deep networks 基于原位电流信号和轻量化多尺度关注深度网络的工业机器人谐波减速器剩余使用寿命预测

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-23 DOI: 10.1016/j.jmsy.2025.09.008

Yuhan Yuan , Yanfeng Han , Ke Xiao , Zhongying Xu , Xiaomo Jiang

{"title":"Remaining useful life prediction for the harmonic reducer of industrial robots via in-situ current signal and lightweight multiscale attention deep networks","authors":"Yuhan Yuan , Yanfeng Han , Ke Xiao , Zhongying Xu , Xiaomo Jiang","doi":"10.1016/j.jmsy.2025.09.008","DOIUrl":"10.1016/j.jmsy.2025.09.008","url":null,"abstract":"<div><div>Reducer degradation in robot joints causes excessive vibrations, affecting product quality. Remaining useful life (RUL) prediction of reducers using in-situ signals can avoid robot disassembly and reduces production downtime. However, in-situ signals are more complex than experimental data due to transient robot operations and industrial noise. To address this challenge, an in-situ RUL prediction method via lightweight Multiscale Attention Deep Network (MSADN) and current signal is proposed. First, the full life cycle of harmonic reducer in-situ signals is collected to build a dataset. Subsequently, the MSADN model is employed for RUL prediction. Within MSADN, a multiscale feature extraction (MSFE) module is designed to capture multiscale information from in-situ signals, while a downsampling filter layer (DFL) is incorporated to expand the receptive field. Finally, a novel evaluation metric, Epoch Toleration Accuracy (ETA), alongside other standard evaluation indicators, is introduced to assess RUL prediction performance. Experimental studies on industrial robot datasets and rolling bearing datasets demonstrate the effectiveness and superiority of the proposed MSADN, and two ablation studies validate the necessity of each MSADN component.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 322-336"},"PeriodicalIF":14.2,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network 基于动态时间petri网和异构多智能体双深度q学习网络的多场景数字双驱动人机协作多任务拆卸工艺规划

IF 14.2 1区工程技术

Journal of Manufacturing Systems Pub Date : 2025-09-19 DOI: 10.1016/j.jmsy.2025.09.011

Jinhua Xiao , Zhiwen Zhang , Sergio Terzi , Fei Tao , Nabil Anwer , Benoit Eynard

{"title":"Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network","authors":"Jinhua Xiao , Zhiwen Zhang , Sergio Terzi , Fei Tao , Nabil Anwer , Benoit Eynard","doi":"10.1016/j.jmsy.2025.09.011","DOIUrl":"10.1016/j.jmsy.2025.09.011","url":null,"abstract":"<div><div>To reduce the environmental impacts and resource utilization of End-of-Life (EOL) product recycling, it is imperative to achieve the high efficiency of EOL product recycling and reutilization, including disassembly. However, the disassembly of EOL products is being faced with huge challenges due to the uncertainties of EOL product recycling and dynamic disassembly requirements. Therefore, this paper proposes a digital twin (DT)-assisted multi-agent human-robot collaboration (HRC) disassembly system with multi-scenario data simulations to achieve multi-agent disassembly operations and process optimization. In addition, the dynamic disassembly structure based on dynamic Time Petri Net (TPN) model represents the real-time disassembly information and associated disassembly relationships, which incorporates the digital twin technology to simulate the application environment of HRC disassembly operations. By integrating the multi-agent Dueling-Double deep Q-learning network (MADDQN) algorithm to determine the optimal disassembly sequence and associated task strategy in the DT-assisted HRC disassembly platform. Similarly, it is essential to evaluate the performance of the proposed algorithm for multi-task disassembly planning based on HRC disassembly operations. By conducting an in-depth analysis of the NEV-P50 battery pack from the Weilai ES8 as a case study, the practical implementation of the MADDQN algorithm is demonstrated to optimize the dynamic disassembly sequence and uncertain task allocation with DT data, which provides an effective and flexible approach to the complex disassembly tasks in multi-scenario HRC disassembly processes.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"83 ","pages":"Pages 284-305"},"PeriodicalIF":14.2,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0