Journal of Industrial Information Integration最新文献

{"title":"Systematic review of mobile robots applications in smart cities with future directions","authors":"Ravinesh Chand ,&nbsp;Bibhya Sharma ,&nbsp;Sandeep Ameet Kumar","doi":"10.1016/j.jii.2025.100821","DOIUrl":"10.1016/j.jii.2025.100821","url":null,"abstract":"<div><div>Smart cities can create a connected and efficient urban environment by integrating advanced technologies with mobile robots. Mobile robots play a significant role in various smart city applications, ranging from transportation and logistics to surveillance and maintenance tasks, and have the potential to revolutionize the way people live and work in smart cities. Ensuring the efficient, greener and safe operation of these robots is crucial for the success and sustainability of smart city operations. However, several challenges must be addressed, such as safe autonomous navigation, motion control and security. This systematic literature review explores the current state of knowledge and emerging trends in autonomous motion control of personal and assistive mobile robots from 2015 to 2023, as well as the challenges and opportunities for possible application in smart city environments. In particular, it investigates the navigational approaches for future application of mobile robotic systems in the essential smart city components of personal transportation, assistive technologies and road and highway robots. Additionally, it contributes to the ongoing research about integrating mobile robotics into smart city applications and highlights future research directions. Researchers can incorporate insights from this review into their development plans for industrial integration by designing infrastructure that accommodates and leverages mobile robots for numerous smart city operations, including transportation, waste management and surveillance.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100821"},"PeriodicalIF":10.4,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611045","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 hybrid constraint programming and cross-entropy approach for balancing U-Shaped disassembly line with flexible workstations and spatial constraints","authors":"Yu Zhang ,&nbsp;Zeqiang Zhang ,&nbsp;Feng Chu ,&nbsp;Saïd Mammar","doi":"10.1016/j.jii.2025.100817","DOIUrl":"10.1016/j.jii.2025.100817","url":null,"abstract":"<div><div>Disassembly lines are an effective means for the large-scale, industrialized recycling of end-of-life products. Among these, U-shaped disassembly lines are particularly noted for their combination of flexibility and production efficiency. This study addresses the U-shaped disassembly line balancing problem, considering the coexistence of separate stations and spatial limitations within workstations. A mixed-integer nonlinear programming model and a constraint programming model are developed to accurately capture this complex problem. Additionally, a novel hybrid constraint programming with a goal-driven cross-entropy optimization algorithm (CP–GDCE) is introduced. This algorithm combines a multi-objective cross-entropy grouping framework, a constraint programming-based heuristic initialization, a multi-point crossover recombination mechanism, and large neighborhood search techniques, significantly enhancing solution efficiency and accuracy. Extensive benchmarking and experimental validation indicate that the CP–GDCE not only excels in addressing the specific problem of this study but also demonstrates superiority in classic disassembly line balancing issues. In 21 test cases, the CP–GDCE achieved superior hypervolume and inverted generational distance values compared to 11 benchmark algorithms. A practical application using a printer disassembly example shows that the proposed U-shaped configuration is highly flexible and efficient, compatible with both traditional U-shaped and straight disassembly lines. This configuration significantly reduces the total length of the disassembly line, improving space utilization and highlighting its practical potential and advantages.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100817"},"PeriodicalIF":10.4,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578892","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":"Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis","authors":"Lukas Bahr ,&nbsp;Christoph Wehner ,&nbsp;Judith Wewerka ,&nbsp;José Bittencourt ,&nbsp;Ute Schmid ,&nbsp;Rüdiger Daub","doi":"10.1016/j.jii.2025.100807","DOIUrl":"10.1016/j.jii.2025.100807","url":null,"abstract":"<div><div>Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness is often limited by the reasoning capabilities of the FMEA tools, which are usually tabular structured. Meanwhile, large language models (LLMs) offer novel prospects for advanced natural language processing tasks. However, LLMs face challenges in tasks that require factual knowledge, a gap that retrieval-augmented generation (RAG) approaches aim to fill. RAG retrieves information from a non-parametric data store and uses a language model to generate responses. Building on this concept, we propose to enhance the non-parametric data store with a knowledge graph (KG). By integrating a KG into the RAG framework, we aim to leverage analytical and semantic question-answering capabilities for FMEA data. This paper contributes by presenting set-theoretic standardization and a schema for FMEA data, an algorithm for creating vector embeddings from the FMEA-KG, and a KG-enhanced RAG framework. Our approach is validated through a user experience design study, and we measure the precision and performance of the context retrieval recall.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100807"},"PeriodicalIF":10.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overview: Application status and prospects of digital twin technology in mechanical cutting processing","authors":"Li Xin ,&nbsp;Gao Hanjun ,&nbsp;Chen Xiaoman ,&nbsp;Xue Nianpu ,&nbsp;Wu Qiong","doi":"10.1016/j.jii.2025.100822","DOIUrl":"10.1016/j.jii.2025.100822","url":null,"abstract":"<div><div>With the advancement of digitalization and intelligence, the demand for improving processing quality and efficiency is becoming increasingly urgent. Digital twin technology, a key supporting technology for intelligent manufacturing, can accurately simulate and predict the machining process in virtual space. This is achieved through data fusion analysis and iterative optimization, effectively ensuring the shape and quality of key components. The article provides a detailed review of the development history of digital twin technology, introduces the progress of its theoretical system construction and technical standard formulation, and explores its broad application prospects in the field of intelligent manufacturing. Through the analysis of relevant research and engineering cases, this article summarizes the current research status of relevant technologies, analyzes the future development directions, provides an application paradigm of digital twin in machining cutting processing, and reveals the important role and enormous potential of digital twin technology in promoting the transformation and upgrading of the manufacturing industry.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100822"},"PeriodicalIF":10.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143590352","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":"Compendium law in iterative information management: A comprehensive model perspective","authors":"Qiang Li ,&nbsp;Zhi Li","doi":"10.1016/j.jii.2025.100808","DOIUrl":"10.1016/j.jii.2025.100808","url":null,"abstract":"<div><div>The existing limitations of the fundamental laws necessary for constructing a comprehensive and widely accepted theoretical framework have significantly hindered the progress of Information Management. This lack has resulted in a predominant reliance on indirect strategies to address information management challenges, often leading to complex, inefficient, and somewhat stochastic analyses and evaluations. For instance, the failure rate of digital transformation in global enterprises is as high as 80 %, and that of data-driven organizational change reaches 85 %, highlighting the urgency and difficulty of resolving these challenges. Through an in-depth analysis of the spiral model and derivation of the Shannon-Weaver model, we unearthed the objective and universal Compendium Law of iterative information management. Building on this law, we propose the application of information system modeling and Hamiltonian graph theory to develop a comprehensive analytical model for iterative information management. This model provides a theoretical approach for the scientific analysis and optimal design of iterative information management, enabling efficient comparative analysis and knowledge transfer among various iterative information management systems. This study contributes to the foundational understanding of Information Management as an independent discipline capable of addressing cross-disciplinary challenges related to information resources, including those found in artificial intelligence, blockchains, quantum communication, the Internet of Things, and digitization.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100808"},"PeriodicalIF":10.4,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534623","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":"Challenges in feature importance interpretation: Analyzing LSTM-NN predictions in battery material flotation","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.jii.2025.100809","DOIUrl":"10.1016/j.jii.2025.100809","url":null,"abstract":"<div><div>Gomez-Flores et al. proposed a Long Short-Term Memory Neural Network (LSTM-NN) for predicting the flotation behavior of battery active materials using various physicochemical and hydrodynamic variables. While they achieved high prediction accuracy, validated through Mean Relative Error (MRE) and Mean Squared Error (MSE) metrics, concerns arise regarding the integrity of feature importance assessments derived from SAGE and SHAP methodologies. Specifically, the reliance on these model-specific techniques can introduce biases, obscuring the true relationships between features. Additionally, while Spearman's correlation elucidated significant relationships among variables, the absence of discussion on p-values left gaps in interpretation. This study emphasizes the need for cautious interpretation of feature importance metrics and the elimination of less significant variables, aiming to enhance model robustness and improve actionable insights in machine learning contexts.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100809"},"PeriodicalIF":10.4,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509547","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":"Geometric deep learning as an enabler for data consistency and interoperability in manufacturing","authors":"Patrick Bründl ,&nbsp;Benedikt Scheffler ,&nbsp;Christopher Straub ,&nbsp;Micha Stoidner ,&nbsp;Huong Giang Nguyen ,&nbsp;Jörg Franke","doi":"10.1016/j.jii.2025.100806","DOIUrl":"10.1016/j.jii.2025.100806","url":null,"abstract":"<div><div>Skilled labor shortages and the growing trend for customized products are increasing the complexity of manufacturing systems. Automation is often proposed to address these challenges, but industries operating under the engineer-to-order, lot-size-one production model often face significant limitations due to the lack of relevant data. This study investigates an approach for the extraction of assembly-relevant information, using only vendor-independent STEP files, and the integration and validation of these information in an exemplary industrial use case. The study shows that different postprocessing approaches of the same segmentation mask can result in significant differences regarding the data quality. This approach improves data quality and facilitates data transferability to components not listed in leading ECAD databases, suggesting broader potential for generalization across different components and use cases. In addition, an end-to-end inference pipeline without proprietary formats ensures high data integrity while approximating the surface of the underlying topology, making it suitable for small and medium-sized companies with limited computing resources. Furthermore, the pipeline presented in this study achieves improved accuracies through enhanced post-segmentation calculation approaches that successfully overcome the typical domain gap between data detected solely on virtual models and their physical application. The study not only achieves the accuracy required for full automation, but also introduces the Spherical Boundary Score (SBS), a metric for evaluating the quality of assembly-relevant information and its application in real-world scenarios.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"44 ","pages":"Article 100806"},"PeriodicalIF":10.4,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-speed image enhancement: Real-time super-resolution and artifact removal for degraded analog footage","authors":"Lorenzo Berlincioni,&nbsp;Marco Bertini,&nbsp;Alberto Del Bimbo","doi":"10.1016/j.jii.2025.100798","DOIUrl":"10.1016/j.jii.2025.100798","url":null,"abstract":"<div><div>In this work we tackle the challenge of enhancing the quality of analog recorded images in real-time. This involves two key aspects: super-resolution to improve visual detail, and artifact removal to address specific issues unique to analog footage. We propose ARENet, a memory-efficient architecture trained in an adversarial setting that can handle analog videos with VHS-like artifacts while maintaining small memory footprint compared to other approaches. The model improves on SRUnet (Vaccaro et al., 2021) by working on its shortcomings when it comes to the diverse spectrum of analog video borne artifacts. More over, in order to be able to process large archives of stored analog videos our model was purposefully designed for fast visual quality improvement (i.e. capable of operating faster than 25 FPS on consumer hardware) and small memory footprint. The experimental results show that the proposed single frame based method achieves better perceptual performances with respect to the compared models while maintaining real time capabilities and being more suited for unique analog video artifacts. Our proposed approach has immediate implications for various industrial applications that involve working with analog video footage, including broadcasting, film restoration, and historical document preservation. By enhancing the visual quality of these recordings in real-time, our method can improve viewer experience, facilitate more accurate analysis and interpretation of content, and enable the digitization and archiving of previously inaccessible or degraded materials. Code and samples are available at <span><span>https://github.com/LoreBerli/VHSRestoration</span><svg><path></path></svg></span></div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100798"},"PeriodicalIF":10.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474764","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":"Multi-agent digital twinning for collaborative logistics: Framework and implementation","authors":"Liming Xu ,&nbsp;Stephen Mak ,&nbsp;Stefan Schoepf ,&nbsp;Michael Ostroumov ,&nbsp;Alexandra Brintrup","doi":"10.1016/j.jii.2025.100799","DOIUrl":"10.1016/j.jii.2025.100799","url":null,"abstract":"<div><div>Collaborative logistics has been widely recognised as an effective avenue to reduce carbon emissions by enhanced truck utilisation and reduced travel distance. However, stakeholders’ participation in collaborations is hindered by information-sharing barriers and absence of integrated systems. We, thus, in this paper addresses these barriers by investigating an integrated platform that facilitates collaboration through the integration of agents with digital twins. Specifically, we employ a multi-agent system approach to integrate stakeholders and physical assets in collaborative logistics, representing them as agents. We introduce a loosely-coupled system architecture that facilitates the connection between physical and digital systems, enabling the integration of agents with digital twins. Using this architecture, we implement a prototypical testbed. The resulting testbed, comprising a physical environment and a digital replica, is a digital twin that integrates distributed entities involved in collaborative logistics. Its effectiveness on integrating both physical and digital, stationary and mobile objects is demonstrated through a carrier collaboration scenario. This paper is among the few earliest efforts to examine the integration of agents and digital twin concepts in logistics sector and goes beyond the conceptual discussion of existing studies to the technical implementation of such integration.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100799"},"PeriodicalIF":10.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent IoT-enabled healthcare solutions implementing federated meta-learning with blockchain","authors":"Puja Das ,&nbsp;Naresh Kumar ,&nbsp;Chitra Jain ,&nbsp;Ansul ,&nbsp;Moutushi Singh","doi":"10.1016/j.jii.2025.100797","DOIUrl":"10.1016/j.jii.2025.100797","url":null,"abstract":"<div><div>The rapid advancement and incorporation of Artificial Intelligence (AI) and the Internet of Things (IoT) have created exceptional opportunities to revolutionize healthcare and treatment methods and offer significant potential for broader industrial information integration. Nevertheless, the growth of intelligent healthcare systems faces challenges such as data confidentiality concerns and the safety of AI algorithms. The need for local datasets is the main problem in applying traditional AI to the development of a personalized model for health care. Thus, to tackle these issues, a novel healthcare system based on blockchain powered by federated matrix meta-learning supported by IoT. In this system, IoT devices function as light nodes, uploading local, shareable information to an edge server for model training, while non-tampered models downloaded through smart contracts handle local private data. This framework comprises four key modules: a hierarchical feature extraction module, a graph topology formulation unit, a dynamic prototype optimization algorithm, and a predictive query integration system. Blockchain technology ensures the healthcare model remains consistent and protects private data from leaks. Also, it has offered a federated matrix meta-learning model known as the federated Matrix-prototype Graph Network (MGN) to handle heterogeneous healthcare data efficiently. This model, based on metrics and graph networks, excels at capturing data distributions even with limited labeled data. To validate the efficacy of the proposed framework, we conducted extensive evaluations using two widely recognized datasets: CheXpert only for medical imaging and CIFAR 100 for general image classification. These experiments increased the performance of up to 85 percent of existing healthcare systems, demonstrating the potential of the proposed integrated approach to solve the industry’s main problems. Thus, this study advances the current discourses on the development of strong, privacy-oriented, and context-aware AI solutions for health systems, which, together with intelligent health technology, will help to raise the efficiency and effectiveness of patient care in the future.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100797"},"PeriodicalIF":10.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}