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":"2025-11-01","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}
Maria Elena Latino, Marta Menegoli, Angelo Corallo, Maria Grazia Gnoni
{"title":"Surfing twin transition in agri-food supply chains: The role of iot and data analytics in sustainable decision-making","authors":"Maria Elena Latino, Marta Menegoli, Angelo Corallo, Maria Grazia Gnoni","doi":"10.1016/j.jii.2025.100983","DOIUrl":"10.1016/j.jii.2025.100983","url":null,"abstract":"<div><div>The agri-food industry faces complex challenges that impact operational efficiency, profitability, and the ability to meet evolving consumer expectations for transparency and sustainability. Industry 4.0 technologies, particularly the Internet of Things and data analytics, offer substantial potential to enhance performance and support sustainability goals across the supply chain. This study investigates the application of Internet of Things and analytics through a multiple case study approach, illustrating how agri-food companies can transform operational and product data into actionable insights to inform decision-making and implement effective sustainability practices. The research adopts a four-phase methodology - <em>Digitalization & Sustainability Case stud* Guideline</em>- identifying market needs, mapping product information, elaborating data analysis, and collecting stakeholder feedback, thus providing a replicable guideline for conducting case studies in the intersection of digitalization and sustainability. A practical roadmap is presented for leveraging technological assets to generate meaningful sustainability indicators and rankings, supporting both operational managers and end consumers in accessing transparent, data-driven information. The study contributes to theory by advancing methodological rigor in multiple case studies and highlighting how data integration facilitates sustainable decision-making in agri-food supply chains. Practically, it offers actionable insights for managers aiming to enhance operational efficiency, improve communication of sustainability performance, and build consumer trust. The findings underscore the value of Internet of Things and analytics in enabling data-driven innovation and supporting future research on generalizing these approaches across diverse agri-food contexts.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100983"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362797","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}
{"title":"LightPose: A lightweight fatigue-aware pose estimation framework","authors":"Da Long, Sheng Yang","doi":"10.1016/j.jii.2025.100988","DOIUrl":"10.1016/j.jii.2025.100988","url":null,"abstract":"<div><div>Fatigue assessment based on human motion plays a critical role in human-centric intelligent manufacturing, intelligent monitoring, and ergonomics. This growing demand underscores the need for low-cost, high-precision pose estimation techniques with broad application adaptability. To meet these requirements, we propose <em>LightPose</em>, a lightweight human pose estimation framework guided by bone segment principles. <em>LightPose</em> is designed to balance spatial accuracy with computational efficiency, delivering pose quality comparable to recent sequence-based baselines while remaining lightweight enough for real-time, fatigue-aware analysis. The framework incorporates a dual-stream supervision mechanism that enforces local geometric consistency through mutual prediction between joint pairs on the same bone segment. Additionally, kinematic constraints and fatigue-relevant metric regulations are embedded within the training objective, promoting biomechanical plausibility and alignment with fatigue-related motion patterns. Experimental results on standard 3D pose estimation benchmarks demonstrate that <em>LightPose</em> delivers competitive accuracy with reduced computational cost. Further evaluations confirm its effectiveness in estimating fatigue-related kinematic indicators, establishing its suitability for fatigue detection tasks. By effectively bridging efficiency and biomechanical relevance, <em>LightPose</em> presents a promising front-end solution for fatigue-aware motion analysis in manufacturing settings.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100988"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145383881","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}
{"title":"A Certificateless Aggregate G+G Signature Scheme with Intersection Method for Efficiency Improvement in Smart Grids","authors":"Songshou Dong , Yanqing Yao , Huaxiong Wang","doi":"10.1016/j.jii.2025.100991","DOIUrl":"10.1016/j.jii.2025.100991","url":null,"abstract":"<div><div>Smart grids (SGs) can greatly improve the efficiency, reliability, and sustainability of traditional grids. In an industrial SG, real-time user-side metering data may be frequently collected for monitoring and controlling electricity consumption. To reduce the burden on SGs, most existing privacy-preserving schemes use aggregated signatures to ensure the integrity of the message and improve communication efficiency. In CRYPTO ’24, Marius et al. proposed an aggregating Falcon signature scheme LaBRADOR, which is a trapdoor-based lattice signature scheme. Currently, there are two types of lattice-based signature schemes: one is a trapdoor-based signature scheme, and the other is a Fiat-Shamir-based signature scheme. There is currently no particularly efficient Fiat-Shamir-based lattice-based aggregate signature scheme. Therefore, we construct an aggregate signature scheme with constant signature size without rejection sampling under the Fiat-Shamir style based on the G+G lattice signature (ASIACRYPT ’23) and the intersection method (EUROCRYPT ’11). In addition, we make our scheme certificateless to resist malicious key generation centers and the key escrow problem, and apply our scheme to SGs. Compared with other schemes, our signature scheme has a smaller aggregated signature size (any number of signatures), less signature time, and is more secure. Finally, we demonstrate that our scheme is existentially unforgeable in the context of adaptive chosen message attacks against type I and type II adversaries in the random oracle model.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100991"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145383758","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}
{"title":"An EMD-based forecasting framework integrating GMM and BiLSTM for helicopter engine anomaly detection","authors":"Qi Shen , Jingwei Guo , Yihui Tian , Zhen-Song Chen","doi":"10.1016/j.jii.2025.101003","DOIUrl":"10.1016/j.jii.2025.101003","url":null,"abstract":"<div><div>The safety of helicopter operations is paramount, yet early signs of potential failures often go undetected, highlighting the need for robust signal alert systems during flights. Detecting anomalies in helicopter engine behavior through vibration analysis is critically important due to the long-sequence nature and complexity of the data, which present significant challenges for real-time assessment and are not adequately addressed by traditional methods such as preset thresholds or basic statistical models, as these approaches struggle to capture intricate spatiotemporal dependencies and overlapping fault patterns in real-world scenarios. To address these challenges, we introduce a novel hybrid model that leverages Empirical Mode Decomposition (EMD) for signal decomposition and analysis, effectively overcoming the limitations of traditional approaches. EMD is particularly advantageous as it decomposes complex signals into Intrinsic Mode Functions (IMFs), enabling more accurate anomaly detection in long sequences. Following EMD, the Gaussian Mixture Model (GMM) is employed to precisely recognize various fault patterns, ensuring a robust foundation for anomaly detection. Bidirectional Long Short-Term Memory (BiLSTM) networks further enhance the model by capturing temporal dependencies in both directions, integrating critical spatiotemporal information and improving predictive accuracy. Experimental results demonstrate that this integrated EMD-GMM-BiLSTM approach is not only highly sensitive and accurate in detecting anomalies but also significantly simpler and more efficient than more complex frameworks such as encoder-decoder models or Transformers. This method ensures the operational safety of helicopters and supports the broader adoption of low-altitude economic activities by providing essential safety guarantees.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 101003"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145383754","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}
{"title":"An ontology-based digital thread framework to support early concurrent engineering in the aerospace industry","authors":"Eliott Duverger , Alexis Aubry , Rebeca Arista , Eric Levrat","doi":"10.1016/j.jii.2025.100984","DOIUrl":"10.1016/j.jii.2025.100984","url":null,"abstract":"<div><div>The increasing complexity of the aerospace industry has highlighted the need to anticipate issues from the entire lifecycle of aircrafts. Identified too late, issues originating from the manufacturing or the maintenance phases can have considerable consequences on the overall development costs, time and quality of aircraft development. Concurrent Engineering (CE) is an approach that aims to improve the design process of a system by considering all lifecycle phases from the initial conceptualization. However, this way of working demands a high degree of collaboration and extensive knowledge sharing among the involved stakeholders. The digitization of the industry has provided new opportunities addressing such challenges. Approaches based on Model-Based Systems Engineering (MBSE), Knowledge-Based Engineering (KBE) and Artificial Intelligence (AI) are providing compelling ways to foster cross-domain collaboration while incorporating knowledge supporting design decisions. This paper leverages an ontology-based digital thread framework as a bridge between aircraft and manufacturing engineering activities. With enriched insights and global perspectives, this framework aims to enable early cross-domain trade-offs analysis to support knowledge-driven concurrent and collaborative engineering during the conceptual design phase.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100984"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362789","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}
Wenjun Xu , Jinshan Zhong , Jiayi Liu , Shuang Zheng , Xianglong Zou , Feng Liu
{"title":"Manufacturing process scheduling method based on multi-level and cross-chain collaboration under industrial internet environment","authors":"Wenjun Xu , Jinshan Zhong , Jiayi Liu , Shuang Zheng , Xianglong Zou , Feng Liu","doi":"10.1016/j.jii.2025.100972","DOIUrl":"10.1016/j.jii.2025.100972","url":null,"abstract":"<div><div>Under the industrial internet environment, achieving effective manufacturing process scheduling requires collaboration across the workshop level, production line level, industrial chain, and value chain. This collaboration enables the integration of manufacturing process information, aligning scheduling more closely with practical operations. However, the existing scheduling approaches mainly focus on a single level or a single chain, lacking the ability to address multi-level and cross-chain collaborative optimization. To overcome this limitation, this paper proposes a scheduling method for manufacturing process based on multi-level and cross-chain collaboration (MPMLCC) under the industrial internet environment. Firstly, the mathematical model is established to represent the four key stages of the manufacturing process: parts procurement, transportation, sub-assembly, and final assembly. The optimization model aims to minimize both the makespan and the total cost, reflecting time and cost efficiency across all stages. Then, an improved multi-objective grey wolf optimizer (IMOGWO) is designed to solve the MPMLCC scheduling problem. The algorithm integrates the opposition-based learning (OBL), the multi-neighborhood local search strategy to balance global exploration and local exploitation. Case studies based on the small satellites Oresat0 and Oresat1B are conducted to verify the effectiveness of the proposed method. Experimental results demonstrate that the proposed approach significantly improves solution quality and stability compared to the other multi-objective optimization algorithms. Furthermore, the scheduling outcomes confirm the effectiveness of manufacturing process information integration and collaborative optimization across multiple levels and chains.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100972"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315172","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}
Yuk Ming Tang , Andrew W.H. Ip , Kai Leung Yung , Zhuming Bi , Zhili Sun
{"title":"Special issue on “Industrial information integration in space informatics”","authors":"Yuk Ming Tang , Andrew W.H. Ip , Kai Leung Yung , Zhuming Bi , Zhili Sun","doi":"10.1016/j.jii.2025.100957","DOIUrl":"10.1016/j.jii.2025.100957","url":null,"abstract":"","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100957"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094142","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}
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":"2025-11-01","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}
Umar Memon, Wolfgang Mayer, Matt Selway, Markus Stumptner
{"title":"Interoperability of AI-enhanced digital twins","authors":"Umar Memon, Wolfgang Mayer, Matt Selway, Markus Stumptner","doi":"10.1016/j.jii.2025.100961","DOIUrl":"10.1016/j.jii.2025.100961","url":null,"abstract":"<div><div>Interoperability is one of the biggest challenges when multiple digital twins are used in collaboration. Although attempts to standardise and define interfaces have made significant progress, real interoperability is still difficult to achieve. It is due to unstated assumptions, contextual factors, and quality characteristics not covered by conventional methods. This paper presents a composition framework that uses a meta-model to capture contextual factors and quality characteristics in a structured manner that is required for compatibility between the models. It is achieved by developing a meta-model that explicitly represents the quality characteristics that can be used to decide whether digital twin models can be validly composed. Validation of the approach is illustrated by examples showing how our approach identifies the issues that are otherwise hidden compatibility issues. This paper also provides an algorithm to provide reasoning logic for requirements assessment by making implicit assumptions and contextual factors explicit and enabling the composition of digital twin models to be more effective.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100961"},"PeriodicalIF":10.4,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220641","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}