Journal of Industrial Information Integration最新文献_第2页

Integrated lot-sizing and scheduling for parallel mixed-model automotive production lines with transportation resource constraints 考虑运输资源约束的混合汽车生产线集成批量与调度

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-15 DOI: 10.1016/j.jii.2025.100945

Lei Yue , Jietao Huang , Linshan Ding , Xiwen Cai , Yanming Sun , Tao Zou

{"title":"Integrated lot-sizing and scheduling for parallel mixed-model automotive production lines with transportation resource constraints","authors":"Lei Yue , Jietao Huang , Linshan Ding , Xiwen Cai , Yanming Sun , Tao Zou","doi":"10.1016/j.jii.2025.100945","DOIUrl":"10.1016/j.jii.2025.100945","url":null,"abstract":"<div><div>The automotive industry is undergoing rapid transformation, accompanied by intensifying market competition. As a result, component manufacturers face mounting pressure to improve production efficiency and control costs, particularly in high-mix, low-volume manufacturing environments. This paper investigates the integrated lot-sizing and scheduling problem in a mixed-flow parallel production system for automotive components, with a particular constraint related to the availability and management of transportation resources during production. The connection between lot-size scheduling and transportation resource allocation is crucial to the overall efficiency of the system. Therefore, a novel mixed integer programming model is presented for the multi-objective problem to minimize the makespan, total tardiness, total setup cost, and inventory levels. The min–max normalization approach is applied to normalize the objectives with different dimensions. A hybrid sparrow search algorithm (HSSA) is proposed with multi-strategy fusion, i.e., integrated mutation strategy, particle swarm velocity position update strategy, Gaussian Cauchy perturbation strategy, and multi-point crossover strategy. Two instances with varying scales have been designed to assess the performance of the proposed algorithm in the context of a practical automotive components production environment. The parameters of the HSSA for different sizes of problems are tuned by Taguchi method. Performance evaluation of the proposed HSSA is carried out by conducting extensive experiments compared to three well-established algorithms. The results demonstrate the effectiveness and superiority of the proposed HSSA in solving the simultaneous lot-sizing and scheduling problem with transportation resource constraints.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100945"},"PeriodicalIF":10.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Industrial Internet of Things performance through deep transfer learning-based neural network digital twin modeling in data-scarce environments 通过基于深度迁移学习的神经网络数字孪生模型在数据稀缺环境中增强工业物联网性能

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-15 DOI: 10.1016/j.jii.2025.100956

Tariq Mahmood , Tanzila Saba , Amjad Rehman , Yu Wang

{"title":"Enhancing Industrial Internet of Things performance through deep transfer learning-based neural network digital twin modeling in data-scarce environments","authors":"Tariq Mahmood , Tanzila Saba , Amjad Rehman , Yu Wang","doi":"10.1016/j.jii.2025.100956","DOIUrl":"10.1016/j.jii.2025.100956","url":null,"abstract":"<div><div>The Industrial Internet of Things (IIoT) connects various industrial equipment, enhancing the connection between workers and machines. Efficient management of the Internet of Things is crucial for ensuring the stable operation of equipment. Twin digital technology connects the physical and virtual worlds, enabling real-time monitoring and analysis of physical assets. This paper introduces a digital twin modeling framework (DTwin-DTL) designed to address the challenge of data insufficiency in IIoT environments. The proposed framework utilizes deep transfer learning and domain-adversarial neural networks to facilitate knowledge transfer from source domains with abundant data to target domains with scarce data. The methodology utilizes Informer models for the efficient processing of long-sequence time-series data, ensuring the accurate creation of digital twins even in data-limited scenarios. By minimizing the modeling loss and incorporating temporal feature analysis, the framework effectively reconstructs physical entities in a virtual space. The paper further introduces a similarity analysis method to evaluate domain shift and adjusts the transfer rate to balance the contributions of regression loss and domain adaptation. Experimental results using real-world power transformer data demonstrate the efficacy of the DTwin-DTL framework, showing improved prediction accuracy compared to traditional models. The findings highlight the potential of this approach for predictive maintenance, energy optimization, and other IIoT applications, offering a scalable and reliable solution for resource-constrained industrial environments.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100956"},"PeriodicalIF":10.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of causes of welding defects in bridge weathering steel based on large language models 基于大语言模型的桥梁耐候钢焊接缺陷原因分析

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-14 DOI: 10.1016/j.jii.2025.100954

Ji Wang, Weibin Zhuang, Tianyuan Liu, Jinsong Bao, Xinyu Li

{"title":"Analysis of causes of welding defects in bridge weathering steel based on large language models","authors":"Ji Wang, Weibin Zhuang, Tianyuan Liu, Jinsong Bao, Xinyu Li","doi":"10.1016/j.jii.2025.100954","DOIUrl":"10.1016/j.jii.2025.100954","url":null,"abstract":"<div><div>The analysis of the causes of welding defects in bridge weathering steel necessitates a multifaceted approach integrating alloy element influences, crack control, and parameter optimization, as single-perspective methodologies inadequately address root causes and hinder effective solution development. To address these challenges, a large language model-based method for analyzing the causes of welding defects in bridge weathering steel is proposed. This method first integrates information from different welding perspectives through a multi-perspective associative memory mechanism and employs a hybrid retrieval strategy to retrieve factual memory and historical information, enabling precise recall of relevant content and providing comprehensive support for problem-solving. Second, a ”inhibition-cognition” task optimization strategy refines the problem-solving process by suppressing irrelevant information, decomposing tasks, and iteratively revising through cognitive simulation, thereby establishing a clear and efficient problem-solving pathway. Finally, the accuracy and consistency of sub-task processing are ensured by an expert-guided task verification meta-prompting method, where dynamic closed-loop validation is incorporated and expert knowledge is fused. Quantitative results demonstrate that the proposed method achieves consistent improvements in both ROUGE-L and BERTScore metrics across different models, while expert evaluations further confirm its exceptional performance in key dimensions such as rationality and comprehensiveness. This method provides a novel approach for analyzing the causes of welding defects in bridge weathering steel, playing a critical role in enhancing the accuracy and efficiency of defect analysis.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100954"},"PeriodicalIF":10.4,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Special issue on “Industrial information integration in space informatics” 《空间信息学中的产业信息集成》特刊

IF 15.7 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-14 DOI: 10.1016/j.jii.2025.100957

Yuk Ming Tang, Andrew W.H. Ip, Kai Leung Yung, Zhuming Bi, Zhili Sun

引用次数: 0

Sustainable planning battery electric buses charging station under two decision-making criteria 两种决策准则下的纯电动客车充电站可持续规划

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-13 DOI: 10.1016/j.jii.2025.100937

Dong Fan , Yanjiao Wang , Xuejie Bai , Yankui Liu

{"title":"Sustainable planning battery electric buses charging station under two decision-making criteria","authors":"Dong Fan , Yanjiao Wang , Xuejie Bai , Yankui Liu","doi":"10.1016/j.jii.2025.100937","DOIUrl":"10.1016/j.jii.2025.100937","url":null,"abstract":"<div><div>This study addresses the sustainable planning of charging locations and times for battery electric buses (BEBs) under uncertain weather conditions, aiming to minimize the operational risks and enhance the environmental sustainability. With BEBs as a key component of sustainable urban development, their operational efficiency and environmental impact are heavily influenced by uncertain weather conditions. To model this situation, we introduce a new risk measure, excess probability, to quantify the impact of weather uncertainty on BEB operations. To address the inherent uncertainties in weather conditions, three globalized robust optimization (GRO) models are built for our studied problem, which can be reformulated as mixed-integer linear programming (MILP) models. A new tailored Benders decomposition (BD) algorithm is designed for MILP models with acceleration strategies. The advantages of the proposed method are verified via a real case about a bus route in Edmonton. The results also highlight the importance of addressing risk preferences in decision-making process and balancing the operational costs with service reliability.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100937"},"PeriodicalIF":10.4,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive threshold in Leaky-Integrated-and-Fire function for audio-based industrial diagnosis 基于音频的工业诊断中泄漏-集成-火灾功能的自适应阈值

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-11 DOI: 10.1016/j.jii.2025.100944

Zihao Zhang, Yu Zhang, Daniel O’Boy, Miguel Martínez-García

{"title":"Adaptive threshold in Leaky-Integrated-and-Fire function for audio-based industrial diagnosis","authors":"Zihao Zhang, Yu Zhang, Daniel O’Boy, Miguel Martínez-García","doi":"10.1016/j.jii.2025.100944","DOIUrl":"10.1016/j.jii.2025.100944","url":null,"abstract":"<div><div>Audio-based fault diagnosis identifies machine operating conditions through acoustic signals, enabling targeted maintenance and reducing downtime in smart manufacturing and embodied intelligence. The traditional Leaky-Integrated-and-Fire (LIF) function in neural networks improves fault state classification by removing shared information while preserving category-unique features. However, its threshold, a backpropagation-optimized parameter that governs the information removal pattern, becomes a fixed constant after training. This constant threshold enforces a uniform information removal pattern across all audio samples despite the significant variations in time–frequency characteristics. Motivated by this and inspired by the auditory system’s adaptive modulation, in contrast to the traditional constant threshold, where the threshold remains a constant after training, this paper proposes a learnable Adaptive Threshold, allowing the threshold to dynamically adapt to the input audio even after training. As the threshold adapts to different inputs rather than remaining a fixed constant, more unique information can be preserved to enhance classification accuracy. The results demonstrate that the adaptive threshold outperforms the constant threshold and other state-of-the-art methods, achieving 99.75% on the IDMT Engine dataset and 98.11% on the MIMII Pump dataset. Visualization results confirm that while both the adaptive threshold and constant threshold successfully suppress non-unique background sounds, such as flowing water, the adaptive threshold demonstrates superior performance in preserving unique features, such as the impact sound from a broken pump. This capability contributes to more accurate fault diagnosis, further validating the effectiveness of the proposed method.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100944"},"PeriodicalIF":10.4,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation 从问题到路线：Multi-AMR导航终身学习的合作成本图

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-10 DOI: 10.1016/j.jii.2025.100941

Jiyeong Chae , Sanghoon Lee , Hyunkyo Seo, Kyung-Joon Park

{"title":"From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation","authors":"Jiyeong Chae , Sanghoon Lee , Hyunkyo Seo, Kyung-Joon Park","doi":"10.1016/j.jii.2025.100941","DOIUrl":"10.1016/j.jii.2025.100941","url":null,"abstract":"<div><div>In large-scale industrial environments where multi-AMR (Autonomous Mobile Robot) systems are deployed, the unpredictable occurrence of obstacles can significantly disrupt AMR navigation, hindering task execution. To overcome such disruptions, AMRs must frequently replan their routes in real time, often resulting in suboptimal trajectories. This paper proposes a multi-AMR path planning framework based on a Cooperative Costmap with Lifelong Learning, designed to enable efficient navigation even in environments where obstacle patterns are not known a priori. Inspired by issue-propagation models in social-network theory — which describe how public attention rises and fades over time within a network — the proposed approach models the temporal influence of encountered obstacles, allowing predictive path planning that adapts to changing obstacle patterns. The framework incorporates a lifelong learning mechanism to incrementally refine the influence parameter over time, thus ensuring adaptability in dynamic industrial settings. Simulation experiments demonstrate that the proposed approach increases task throughput by up to 18.0% and reduces average travel time by up to 30.1% compared to the standard ROS 2 navigation stack.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100941"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain-enabled smart contracts for secure and transparent timber traceability 支持区块链的智能合约，实现安全和透明的木材可追溯性

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-10 DOI: 10.1016/j.jii.2025.100934

Robertas Damaševičius, Rytis Maskeliūnas

{"title":"Blockchain-enabled smart contracts for secure and transparent timber traceability","authors":"Robertas Damaševičius, Rytis Maskeliūnas","doi":"10.1016/j.jii.2025.100934","DOIUrl":"10.1016/j.jii.2025.100934","url":null,"abstract":"<div><div>This study explores the application of blockchain-based smart contracts to improve traceability, transparency, and consumer trust in the timber industry. It focuses on challenges such as illegal logging and supply chain opacity by proposing a blockchain-enabled framework to manage key processes: timber harvest registration, quality assessment and certification, ownership transfer and consumer verification. The research demonstrates how smart contracts can automate and secure these operations, ensuring data integrity and streamlining supply chain interactions. A simulated blockchain environment was used to evaluate system performance. The results showed that the average transaction throughput reached 320 transactions per second, while the energy consumption per transaction decreased from 400 J to 200 J as the volume increased. Gas fees rose linearly with the complexity of the contract, highlighting the importance of operational optimization for efficiency and cost-effectiveness. The novelty of the study lies in its holistic integration of blockchain and smart contracts into timber supply chain workflows. It emphasizes not only technical implementation, but also scalability, energy efficiency, and the need for auditable, privacy-preserving systems. The proposed model offers practical information for improving legality, sustainability and accountability in the global timber trade.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100934"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive framework for supplier segmentation, development, and appreciation 一个全面的供应商细分、开发和评估框架

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-10 DOI: 10.1016/j.jii.2025.100932

S. Ali Torabi, Keivan Tafakkori, Yousef Norouzinasab

{"title":"A comprehensive framework for supplier segmentation, development, and appreciation","authors":"S. Ali Torabi, Keivan Tafakkori, Yousef Norouzinasab","doi":"10.1016/j.jii.2025.100932","DOIUrl":"10.1016/j.jii.2025.100932","url":null,"abstract":"<div><div>The literature on supplier relationship management (SRM) lacks a comprehensive framework to support the underlying interrelations between its components. This paper introduces a novel decision-making framework supported by multi-attribute decision-making and mathematical modeling approaches to address those interrelations and decision problems related to supplier segmentation, development, and appreciation as the three fundamental pillars of SRM. First, the criteria identified for segmenting, developing, and appreciating suppliers are weighted by field experts’ subjective assessment using the best-worst method. Then, two optimization models are proposed for supplier development and appreciation steps under specific objectives and resource constraints to find their optimal allocation pattern. The framework’s applicability is validated through an illustrative case study conducted at a mobile telecommunications company. The findings reveal that segmenting, developing, and appreciating suppliers are closely interrelated and should be implemented sequentially to have a comprehensive portfolio of decisions. Besides, the framework can minimize experts’ subjective evaluations and enhance segmentation, development, and appreciation decisions by enabling suppliers’ information integration and analytics. Derived insights reveal that isolating these processes without considering their interactions within a comprehensive decision framework for companies with many supplies outsourced can lead to higher costs and weak supplier relationships. Potential areas further facilitating the decision-making process are also highlighted and introduced for future research.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100932"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A real-time perception–motion codesign method for image-based visual servoing in embodied intelligence systems 具体智能系统中基于图像的视觉伺服实时感知-运动协同设计方法

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-09-09 DOI: 10.1016/j.jii.2025.100933

Hao Tang , Yongsheng Li , Nan Zhou , Minghao Cheng , Sulian Tao , Bo Xu

{"title":"A real-time perception–motion codesign method for image-based visual servoing in embodied intelligence systems","authors":"Hao Tang , Yongsheng Li , Nan Zhou , Minghao Cheng , Sulian Tao , Bo Xu","doi":"10.1016/j.jii.2025.100933","DOIUrl":"10.1016/j.jii.2025.100933","url":null,"abstract":"<div><div>The embodied intelligence system achieves adaptive decision-making through the dynamic coupling between intrinsic perception and environmental interaction, wherein the extent of motion coordination is fundamentally constrained by the closed-loop optimization of multimodal perception and actuator control. To solve this problem, this study reconfigures image-based visual servoing (IBVS) into a perception–motion synergy engine within the framework of embodied intelligence. First, a perception–motion mapping model is constructed, in which Mamdani fuzzy inference is employed to achieve dynamic decoupling and adaptive regulation of multi-axis servo gains, which effectively addresses the issues of motion trajectory redundancy and visual feature visibility degradation in embodied intelligent systems operating in unstructured environments. Furthermore, a continuous velocity observer based on a polynomial decay function (PD-CVO) is designed to ensure smooth transitions in system motion velocity, effectively reducing the risk of dynamic imbalance caused by abrupt velocity changes. Experiments show that this method improves the visual-motor response efficiency of the embodied system by 13.25%, reduces redundant motion in image features by 53.63% compared to other state-of-the art approaches, and robustly maintains the initial continuity of the camera’s spatial velocity. This paradigm of embodiment control based on the dynamic adjustment of servo gain provides a new theoretical framework for realizing the real-time coupling of tool manipulation and environment deformation in flexible manufacturing scenarios.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100933"},"PeriodicalIF":10.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0