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A distributed permutation flow-shop considering sustainability criteria and real-time scheduling J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-12 Amir M. Fathollahi-Fard, Lyne Woodward, Ouassima Akhrif
Recent advancements in production scheduling have arisen in response to the need for adaptation in dynamic environments. This paper addresses the challenge of real-time scheduling within the context of sustainable production. We redefine the sustainable distributed permutation flow-shop scheduling problem using an online mixed-integer programming model. The proposed model prioritizes minimizing makespan
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Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-12 Amir Ghasemi, Fatemeh Farajzadeh, Cathal Heavey, John Fowler, Chrissoleon T. Papadopoulos
Production Scheduling (PS) is an essential paradigm within supply and manufacturing systems and an important element of sustainable development. PS, mainly known for its horizontal effects within the operational decision level, directly impacts both tactical and strategical levels of decision-making. In other words, an optimally designed and utilized PS module could bring efficiency towards the whole
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Emergency evacuation based on long range communication technology J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-11 Xue Jiang, Peihong Zhang, Xinwei Zhang, Aoran Yu, Bang Chen, Chenghao Ye, Jiabao Song
The complexity and uncertainty of a fire in a large public building with complex structure leads to risks during emergency evacuation. Therefore, it is crucial to conduct intelligent emergency evacuation according to the situational development of the accident environment, the crowding degree of evacuation routes, as well as the reliability and flexibility of data transmission in large complex building
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Intelligent Optimization Design of Squeeze Casting Process Parameters Based on Neural Network and Improved Sparrow Search Algorithm J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-11 Jianxin Deng, Guangming Liu, Ling Wang, Gang Liu, Xiusong Wu
Squeeze casting process parameters are the key to squeeze casting production and to obtain excellent performance casts. To realize intelligent optimization design of process parameters under various requirements, this work presents a new intelligent optimization design framework for squeeze casting process parameters based on process data and integrating a two-stage intelligent integrated optimization
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Blockchain and NFT-based traceability and certification for UAV parts in manufacturing J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-11 Diana Hawashin, Mohamed Nemer, Khaled Salah, Raja Jayaraman, Davor Svetinovic, Ernesto Damiani
In recent years, the widespread adoption of Unmanned Aerial Vehicles (UAVs) has increased significantly, sparking the need for reliable mechanisms to verify the authenticity, origin, and history of their constituent components. However, the lack of secure and trusted evidence for traceability, attestation, and certification of these components poses alarming challenges in ensuring transparency, data
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Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-03-07 Jingxue Chen, Zengxiang Wang, Gautam Srivastava, Turki Ali Alghamdi, Fazlullah Khan, Saru Kumari, Hu Xiong
The space-air-ground-sea three-dimensional (3D) network is a comprehensive communication network system. This 3D network combines extensive coverage of satellite communications, adaptability of unmanned aerial vehicle (UAV) communications, reliability of terrestrial communications, and the necessity for maritime communications. These networks generate enormous amounts of data, and training machine
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Integrating and interconnecting of older SINUMERIK CNC machines with industry 4.0 using a plug-and-play system J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-02-12 Cristina Martínez-Ruedas, Francisco José Adame-Rodríguez, Juan Manuel Díaz-Cabrera
Interconnectivity and the standardization of communications promotes the growth of Industry 4.0. The most modern industrial machinery, devices and processes are equipped with communication systems that favor such connectivity throughout industrial standards such as OPC UA (Open Platform Communications Unified Architecture). On the other hand, older computer numerical control systems (CNCs), although
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Rail surface defect detection using a transformer-based network J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-02-10 Feng Guo, Jian Liu, Yu Qian, Quanyi Xie
The detection of Rail Surface Defects (RSDs) plays a critical role in railway track maintenance. Traditional image processing methods exhibit limitations due to their intricate design and insufficient robustness, thereby restricting their broader applications. Recently, deep learning-based RSD detection methods have drawn great attention. However, these methods predominantly rely on Convolutional Neural
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Integrated Knowledge Management in the Supply Chain: Assessment of Knowledge Adoption Solutions through a Comprehensive CoCoSo Method under Uncertainty J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-02-10 Mostafa Jafari, Shayan Naghdi Khanachah
The natural dispersion of supply chain (SC) elements and the distribution of knowledge within these elements have necessitated an integrated knowledge management (KM) process in the SC. The use of KM poses many challenges for the members of the SC, and the key to the survival of the SC lies in identifying and solving these challenges. For this reason, this paper aims to appraise the challenges of knowledge
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Job shop smart manufacturing scheduling by deep reinforcement learning J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-02-09 Julio C. Serrano-Ruiz, Josefa Mula, Raul Poler
Smart manufacturing scheduling (SMS) requires a high degree of flexibility to successfully cope with changes in operational decision level planning processes in today's production environments, which are usually subject to high uncertainty. In such a unique and complex scenario as the real job shop, the modelling of SMS as a Markov decision process (MDP), and its approach by deep reinforcement learning
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Utilization of a blockchainized reputation management service for performance enhancement of Smart Grid 2.0 applications J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-02-07 Charithri Yapa, Chamitha De Alwis, Madhusanka Liyanage, Janaka Ekanayake
Blockchain has become the technology enabler in delivering modern Smart Grid 2.0 functionalities. Many services including Peer-to-Peer energy trading, distribution network management, financial settlements, and energy data management are catered through blockchain-enabled platforms. However, areas such as service quality-based pricing strategies, supply–demand balancing in distribution system to attain
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Lightweight privacy-preserving predictive maintenance in 6G enabled IIoT J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-29 Hongping Li, Shancang Li, Geyong Min
While the 5G is being rolled out in different industrial sectors, the 6G is expected to implement data-driven ubiquitous machine learning for industrial information integration environment. The machine learning algorithms show great potential in predictive maintenance where data is collected over time. However, the privacy issues become increasingly challenging since the huge amount of data are exchanged
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IDS-KG: An Industrial Dataspace-based Knowledge Graph Construction Approach for Smart Maintenance J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-28 Yanying Wang, Ying Cheng, Qinglin Qi, Fei Tao
With the development of information technology in manufacturing enterprises, a large amount of equipment maintenance data and knowledge are recorded. These rich knowledge resources contain a vast amount of semantic and physical associations that have not yet been developed, resulting in a significant gap between equipment maintenance procedures and experiential knowledge. Therefore, this paper proposes
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Approaches for data collection and process standardization in smart manufacturing: Systematic literature review J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-26 Alexandra Schlemitz, Vitaliy Mezhuyev
The world of smart manufacturing is continuously evolving. Since the introduction of the term “Industry 4.0” by the German government in the year 2011, different terms, technologies and approaches to foster interoperability and efficiency in smart manufacturing environments have been established. Nevertheless, the challenge is not only to integrate new equipment and to connect it to the Industrial
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A multicriteria model for assessing maturity in industry 4.0 context J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-26 Duan Vilela Ferreira, Ana Paula Henriques de Gusmão, Jônatas Araújo de Almeida
According to recent literature on industry 4.0, it can increase the competitive potential of organizations through the application and integration of various technologies. Thus, to apply such technological tools, it is important to previously assess the current technological state as a starting point for directing improvement strategies. Hence, this research seeks to contribute to the organizational
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Machine learning enabled Industrial IoT Security: Challenges, Trends and Solutions J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-23 Chunchun Ni, Shan Cang Li
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A forensic framework to improve digital image evidence administration in IIoT✰ J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-18 Deepti Rani, Nasib Singh Gill, Preeti Gulia
The extensive growth of Industrial Internet of Things (IIoT) has prompted cyber attackers to commence a variety of attacks which need to be identified to maintain the security of industrial data and services. Digital forensics is an extravagant need to detect cyber attacks and to identify cybercriminals. While conducting criminal investigation using digital forensics, there is high probability of leakage
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APPINT algorithm for decision-making based on information integration in the assembly of personalized products J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-17 Marina Crnjac Žižić, Ivica Veža, Damir Vukičević, Marko Mladineo
The assembly of personalized products with high fluctuations in demand is imposed by the production paradigm of personalized products. This opens the problem of managing the assembly system. Decision-making should be based on available information from the assembly process. To contribute to better management of the assembly of personalized products, the APPINT (APPlicable and INTeractive) algorithm
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Ad-hoc collision avoidance system for Industrial IoT J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-17 Dan Garcia-Carrillo, Xabiel G. Pañeda, David Melendi, Roberto Garcia, Victor Corcoba, David Martínez
Safety and security in the workplace are extremely important. In the industrial sector, with heavy machinery, an accident can have serious if not life-threatening consequences. In Industry 4.0 with the inclusion of paradigms such as the Industrial IoT, new technologies can help not only to improve the production process of a company but can also assist by improving the safety and security of industrial
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Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-17 Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, WooSang Shin, Sang Woo Kim
Steel product number recognition (SPNR) is crucial for efficient product management in the steel industry, and there has been a recent focus on utilizing number recognition algorithms to pursue the automation of product management. Deep learning-based methods have enhanced the performance of SPNR. However, the issue of data scarcity has been overlooked in previous studies. In actual industrial environments
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Multi-objective ship weather routing method based on the improved NSGA-III algorithm J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Dongfang Ma, Siyuan Zhou, Yueyi Han, Weihao Ma, Hongxun Huang
This study investigates a multi-objective weather routing problem for ships, aiming to minimize operational costs, sailing time, and CO2 emissions simultaneously. Departing from conventional graph search algorithms based on nodes, we incorporate the ship's operational context, utilizing heading angle and speed as direct variables. Employing the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
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Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Haochen Mu, Fengyang He, Lei Yuan, Houman Hatamian, Philip Commins, Zengxi Pan
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Wireless sensor network technology and geospatial technology for groundwater quality monitoring J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Jayaraman Venkatesh, Pachaivannan Partheeban, Anuradha Baskaran, Deepa Krishnan, Madhavan Sridhar
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Developing cyber-physical system and digital twin for smart manufacturing: Methodology and case study of continuous clarification J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-14 Shantanu Banerjee, Naveen G. Jesubalan, Amey Kulkarni, Anshul Agarwal, Anurag S. Rathore
Biopharmaceutical production has recently begun transitioning toward the construction of highly advanced, digitalised production facilities, as per Industry Revolution 4.0 or smart manufacturing. Clarification is the bridging step in biotherapeutics continuous production, and this study proposes a Digital twin (DT) and a cyber-physical system (CPS) for the Cadence™ Acoustic Wave Separator (CAS), that
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COVID-19 automotive supply chain risks: A manufacturer-supplier development approach J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-12 Aminreza Karamoozian, Chin An Tan, Desheng Wu, Amirhossein Karamoozian, Saied Pirasteh
Epidemic outbreaks pose a significant risk to supply chain and logistics, particularly in the global automotive industry. These risks are characterized by long-term disruptions that can have ripple effects, making them challenging to predict. Contingency plans must be developed to address these risks effectively, with simulation tools being a crucial component. These tools should be used as data integration
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The multi-factory two-stage assembly scheduling problem J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-12 Hamed Kazemi, Mustapha Nourelfath, Michel Gendreau
The recent notable focus on distributed production management in academic and industrial contexts has underscored the importance of scheduling across multiple factories. Accordingly, this study investigates a new multi-factory configuration in which non-identical factories produce different components of a final product in the first stage. Each factory is considered as a classical flow-shop, which
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A review on machine learning and deep learning image-based plant disease classification for industrial farming systems J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 P. Sajitha, A. Diana Andrushia, N. Anand, M.Z. Naser
Plants can be affected by various diseases. As such, the early detection of crop diseases plays an essential role in the farming industry. However, such detection requires extensive pathogen knowledge and is costly and labor-intensive. These challenges present an attractive opportunity to leverage machine learning (ML) and deep learning (DL) techniques to automate the detection of crop diseases. From
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Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Junayed Pasha, Bokang Li, Zeinab Elmi, Amir M. Fathollahi-Fard, Yui-yip Lau, Abdolreza Roshani, Tomoya Kawasaki, Maxim A. Dulebenets
Electric vehicles can be perceived as a means to achieve carbon reduction, energy efficiency, and sustainable development of the transportation industry. Electric vehicle sales and deployment are increasing rapidly over time. However, electric vehicle deployment should be conducted in a planned manner, as electric vehicles have some limitations (e.g., limited driving range, refueling capacity, carrying
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A multi-objective service composition optimization method considering multi-user benefit and adaptive resource partitioning in hybrid cloud manufacturing J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Weiqing Xiong, Yankai Wang, Song Gao, Xiangdong Huang, Shilong Wang
Cloud manufacturing (CMfg) is a new network manufacturing mode, where one of the essential issues is service composition and optimal selection (SCOS), attracting a wide range of scholars' attention and research. At present, scholars at home and abroad mainly focus on studying the SCOS model in a single type of cloud environment, which integrates and optimizes large group enterprises' internal resources
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Railway obstacle intrusion warning mechanism integrating YOLO-based detection and risk assessment J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Zhipeng Zhang, Peiru Chen, Yujie Huang, Lei Dai, Feng Xu, Hao Hu
Railroad obstacle intrusion can significantly threaten rail safety operations, especially with rapidly developed high-speed railways. Object detection has played an important role in rail safety operations. Nowadays, detection technologies have been employed to detect accurately and in real-time with a lot of effort from scholars. However, these detection methods still suffer from the inability to
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ViLanIoT: A visual language for improving Internet of Things systems representation J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Alain Gomez-Cabrera, Ponciano J. Escamilla-Ambrosio, Jassim Happa
With the rapidly evolving and changing nature of Internet of Things (IoT) technologies, there is an absence of tools to support the IoT system design and development. For example, there is not a specialized tool for representing IoT systems. The common solution to this problem is to use general-purpose modeling tools, such as the Unified Modeling Language (UML) and its extensions, which have some disadvantages
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Optical fiber gas sensor with multi-parameter sensing and environmental anti-interference performance J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Gaoliang Chen, Jin Li, Hongmin Zhu, Yuying Wang, Hanyang Ji, Fanli Meng
Formic acid finds widespread applications in numerous fields, including the petrochemicals production, rubber industry, and leather tanning process, in which the operational environments are complex and diverse. The corresponding industrial systems are often intricate and highly integrated. Indeed, formic acid gas is insidious and poses a hazard to both operating personnel and industrial equipment
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Integrated location and routing for cold chain logistics networks with heterogeneous customer demand J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-11 Golman Rahmanifar, Mostafa Mohammadi, Mohammad Golabian, Ali Sherafat, Mostafa Hajiaghaei-Keshteli, Gaetano Fusco, Chiara Colombaroni
The critical interdependence between facility location and vehicle routing is a fundamental component of cold chain logistics management (CCLM). Furthermore, integrating information within CCLM has the potential to enhance operational efficiency, reduce costs, improve risk management, and elevate product quality, ultimately ensuring that temperature-sensitive goods are delivered in best condition.
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Industry 4.0 technologies adoption for digital transition in drug discovery and development: A review J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2024-01-10 Amit Anthwal, Akshat Uniyal, Jitender Gairolla, Rajesh Singh, Anita Gehlot, Mohamed Abbas, Shaik Vaseem Akram
At present, every nation is focused on meeting sustainable development goals (SDGs) by 2030 for social, economic, and environmental sustainability. Automation of drug discovery, reliable research and innovation, green chemistry, and a lean discovery process are all critical components, where sustainability implementation is applicable. The current pandemic crisis has contributed to making society more
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Integrating systems of systems with a federation of rule engines J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-12-30 Andrii Berezovskyi, Rafia Inam, Jad El-khoury, Leonid Mokrushin, Elena Fersman
Systems of Systems (SoSs) integrate many critical systems our society relies on. In designing individual systems, stakeholders use bespoke protocols, custom information models, and proprietary components with limited computational resources from various vendors. We present a reference architecture that allows multiple stakeholders to carry out a flexible integration without giving up control to a single
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Employing word-embedding for schema matching in standard lifecycle management J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-12-29 Hakju Oh, Boonserm (Serm) Kulvatunyou, Albert Jones, Tim Finin
Today, businesses rely on numerous information systems to achieve their production goals and improve their global competitiveness. Semantically integrating those systems is essential for businesses to achieve both. To do so, businesses must rely on standards, the most important of which are data exchange standards (DES). DES focus on technical and business semantics that are needed to deliver quality
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Industry 4.0 and industrial workflow scheduling: A survey J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-12-20 Kaya Souaïbou Hawaou, Vivient Corneille Kamla, Sonia Yassa, Olivier Romain, Jean Etienne Ndamlabin Mboula, Laurent Bitjoka
The Internet of Things (IoT) or Web 3.0 is a growing technology that allows devices to communicate with each other as well as with the cloud. The Industrial Internet of Things (IIoT), or Industry 4.0, is the industrial application of IoT. Industry 4.0 transforms production equipment into IoTs, which in turn transmit production-related data or their operational status to other connected devices or servers
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A novel deep learning method for on-line monitoring of grate bar defects in sintering machine system J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-12-14 Yibo Zou, Jiafa Xiang, Mingming Han, Liwei Zhai, Ying Wu, Fangjun Zhou, Yan Ge, Linlin Zhao
The defective grate bars at the bottom of the sintering machine system pose a serious safety risk to steel enterprises. Cracking and missing of these grate bars lead to severe production accidents and economic losses. Implementation of an efficient defect monitoring system plays a crucial role in ensuring continuous and stable sintering production. This paper presents a novel on-line grate bar defects
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Industry 4.0 in waste management: An integrated IoT-based approach for facility location and green vehicle routing J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-11-14 Mostafa Mohammadi, Golman Rahmanifar, Mostafa Hajiaghaei-Keshteli, Gaetano Fusco, Chiara Colombaroni
The increasing production of solid waste rate in urban areas plays a critical role in sustainable development. To mitigate the adverse effects of waste and enhance waste management efficiency, this paper introduces a holistic approach that notably reduces the overall cost while mitigating social and environmental impacts. Central to the system's efficacy is the critical process of waste sorting, which
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Visual analytics and intelligent reasoning for smart manufacturing defect detection and judgement: A meta-learning approach with knowledge graph embedding case-based reasoning J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-11-14 Shu Wang, Pan Zou, Xuejian Gong, Mulang Song, Jianyuan Peng, Jianxin Roger Jiao
Visual inspection is an important procedure in manufacturing industries to guarantee product quality and reduce costs of poor quality. Several challenges exist for manufacturing inspection automation, including the false positive and false negative trade-off, autonomous decision-making, and inspection algorithm selection. This paper addresses these challenges by proposing a two-level visual analytics
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Research on logistics of intelligent unmanned aerial vehicle integration system J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-10-25 Hai-Wu Lee, Chi-Shiuan Lee
As Unmanned Aerial Vehicle (UAV) is more and more frequently used in farming and logistics, civil and military alike, researches involving UAVs also starts to boom. In the civil field, UAV is generally flown in urban areas, so buildings are the main factors hindering the normal flight of UAV. Therefore, it is necessary to calculate an optimal flight path of UAV under constraints. The intelligent logistics
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In situ virtual sensors in building digital twins: framework and methodology J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-10-05 Sungmin Yoon, Youngwoong Choi, Jabeom Koo
A novel sensing system is essential for intelligent building operations and digitalization of the building life cycle. Therefore, this study introduces the concept and framework of in situ virtual sensing in building operations, proposes modeling methodologies for in situ virtual sensors, and shows the applications of representative virtual sensors in a real operational system. The concept of in situ
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Integrated optimization of process planning and scheduling problems based on complex networks J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-10-05 Kai Guo, Yan Liang, Muqing Niu, Wenan Tan
Industrial information integration can promote modern manufacturing enterprises to achieve efficient information processing and data integration in manufacturing systems, providing a good framework for solving process planning and workshop scheduling integration problems. To explore optimization issues in an intelligent manufacturing environment, find a better way to solve the integration of process
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Cloud–edge collaborative control for roaster furnace: A hybrid first-principles and data-driven method J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-30 Zhijie Wang, Chengzhu Wang, Chunhua Yang
Temperature stability control of the roaster furnace is an important yet challenging problem due to the fluctuation of feed compositions. To solve this problem, a first-principles and data-driven cloud–edge collaborative control (CECC) method is proposed. Specifically, through first-principles analysis, the influencing factors of temperature fluctuation are determined, and then the feed fluctuation
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A design of a circular closed-loop agri-food supply chain network—A case study of the soybean industry J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-23 Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei-Keshteli, Arya Bavar, Avesta Bavar, Behzad Mosallanezhad
In recent years, there has been an irresistible need for the agri-food industry to prioritize the development of efficient supply chain systems considering circular economy concepts. Agri-food products are critical to sustaining human life, as they provide essential nutrients required for maintaining bodily functions. Producing the appropriate quantity of agri-food products to match the potential demand
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A reference architecture for the American Multi-Modal Energy System enterprise J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-16 Dakota J. Thompson, Amro M. Farid
The American Multimodal Energy System (AMES) is a system-of-systems comprised of four separate but interdependent infrastructure enterprises: the electric grid, the natural gas enterprise, the oil enterprise, and the coal enterprise. Their interdependence creates the need to better understand the underlying architecture in order to move towards a more sustainable, resilient and accessible energy system
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Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (AI)-enabled malware and intrusion detection J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-13 Marc Schmitt
The last decades have been characterized by unprecedented technological advances, many of them powered by modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The world has become more digitally connected than ever, but we face major challenges. One of the most significant is cybercrime, which has emerged as a global threat to governments, businesses, and civil societies
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The evolution of ontology in AEC: A two-decade synthesis, application domains, and future directions J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-01 Karim Farghaly, Ranjith K. Soman, Shanjing Alexander Zhou
Ontologies play a pivotal role in knowledge representation, particularly beneficial for the Architecture, Engineering, and Construction (AEC) sector due to its inherent data diversity and intricacy. Despite the growing interest in ontology and data integration research, especially with the advent of knowledge graphs and digital twins, a noticeable lack of consolidated academic synthesis still needs
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Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-09-01 Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapé
Solutions based on Blockchain (BC) technologies are gaining more and more attention in the context of Industry 4.0 (I4.0). While the research community has provided significant effort in either BC or I4.0 research domains, the complex implications of the adoption of BC technologies in this specific context are not analyzed in depth. This is a serious drawback because of the multiple and heterogeneous
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Algorithmic framework for enhancement of information control in integrated transportation systems J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-27 Anna Strimovskaya, Andrey Bochkarev
The challenge of information control of complex systems has been studied especially précised during the last years due to the increased level of digital transformation. The integrated nature of modern economic systems requires advanced solutions based on combination of state-of-the-art digital techniques with revised classical managerial, economical and mathematical approaches. The research gap is
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Human-technology integration with industrial conversational agents: A conceptual architecture and a taxonomy for manufacturing J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-30 Silvia Colabianchi, Andrea Tedeschi, Francesco Costantino
Conversational agents are systems with great potential to enhance human-computer interaction in industrial settings. Although the number of applications of conversational agents in many fields is growing, there is no shared view of the elements to design and implement for chatbots in the industrial field. The paper presents the combination of many research contributions into an integrated conceptual
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An indicator-based sustainability assessment framework in manufacturing organisations J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-30 Yasamin Eslami, Mario Lezoche, Hervé Panetto, Michele Dassisti
Several tools and methodologies were developed for manufacturing organizations to evaluate their sustainability performance. However, the growing number of methods and tools casts some doubt upon the applicability, efficiency, and capability of those methods by real manufacturing companies. Therefore, tools that offer a standard assessment of the sustainability performance of the organization with
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Blockchain-based quality management for a digital additive manufacturing part record J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-26 Erik Westphal, Benjamin Leiding, Hermann Seitz
Quality management (QM) of additive manufacturing (AM) processes is currently immature in terms of transparency, traceability and security. In particular, quality-relevant documents are not documented and communicated in a traceable and transparent manner, which often leads to quality deficiencies. However, combining AM with blockchain technology can enable a solution that maps the AM value chain digitally
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Positioning accuracy enhancement of a robotic assembly system for thin-walled aerostructure assembly J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-28 Biao Mei, Zengsheng Liang, Yuedong Xie, Yun Fu, Yongtai Yang
Aircraft assembly demands efficient and accurate drilling and fastening of a large number of complex thin-walled aircraft parts. In this paper, a robotic assembly system is developed. The machine design and component functions of the robotic system are first discussed. Subsequently, the formation of the relative positioning error between the end-effector and an aircraft part is analyzed and modeled
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How has social media been affecting problem-solving in organizations undergoing Lean Production implementation? A multi-case study J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-24 Guilherme Luz Tortorella, Daryl Powell, Libo Liu, Moacir Godinho Filho, Jiju Antony, Peter Hines, Daniel Luiz de Mattos Nascimento
This paper investigates the impact of social media utilization on problem-solving routines in organizations undergoing Lean Production (LP) implementation. A multi-case study was conducted in three firms from different sectors with distinct maturity levels of LP implementation. Empirical evidence was collected through complementary ways, such as semi-structured interviews, secondary data, and in loco
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Hybrid flow-shop scheduling in collaborative manufacturing with a multi-crossover-operator genetic algorithm J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-25 Yuxiang Guan, Yuning Chen, Zhongxue Gan, Zhuo Zou, Wenchao Ding, Hongda Zhang, Yi Liu, Chun Ouyang
Collaborative manufacturing systems have become a key component of Industry 4.0, supported by Industrial Information Integration Engineering (IIIE) applications. Efficient scheduling and coordination of manufacturing tasks are vital for these systems, directly impacting factory operational efficiency. One of the most prominent optimization problems in collaborative manufacturing is the hybrid flow
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Quantum computing and industrial information integration: A review J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-23 Yang Lu, Alexander Sigov, Leonid Ratkin, Leonid A. Ivanov, Min Zuo
Originally a part of the study of physics, quantum mechanics is fast becoming an interdisciplinary field. Quantum computing offers the potential to reach the higher levels of accuracy and security associated with a much faster speedup. Many different approaches have been proposed to building a quantum computer. Seeking the best solution for quantum computers is the mission of both practitioners and
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Exploring how to use virtual tours to create an interactive customer remote experience J. Ind. Inf. Integr. (IF 15.7) Pub Date : 2023-08-09 Margherita Peruzzini, Sara Cavallaro, Fabio Grandi, Elisa Martinelli, Francesca De Canio
This paper investigates the use of Virtual Reality (VR) to develop virtual tour applications for marketing purposes. The aim is to explore how virtual technologies can support the creation of knowledge about a specific food product and the achievement of user engagement by a multi-sensory virtual tour of the real production site. The study provides design guidelines to create a valuable, multisensory