41,364
Views
176
CrossRef citations to date
0
Altmetric
Machine Learning in Manufacturing and Industry 4.0 applications

Machine learning in manufacturing and industry 4.0 applications

, , &

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (30)

Fernanda Strozzi & Rossella Pozzi. (2024) Trend and seasonality features extraction with pre-trained CNN and recurrence plot. International Journal of Production Research 62:9, pages 3251-3262.
Read now
Satie L. Takeda-Berger & Enzo M. Frazzon. (2024) An inventory data-driven model for predictive-reactive production scheduling. International Journal of Production Research 62:9, pages 3059-3083.
Read now
Mukesh Chandra, Sonu Rajak & Vimal K.E.K. (2024) Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing. Materials and Manufacturing Processes 39:6, pages 761-777.
Read now
Christopher Münch, Manuel Wehrle, Tobias Kuhn & Evi Hartmann. (2024) The research landscape around the physical internet – a bibliometric analysis. International Journal of Production Research 62:6, pages 2015-2033.
Read now
Xiaoshao Mu & Maxwell Fordjour Antwi-Afari. (2024) The applications of Internet of Things (IoT) in industrial management: a science mapping review. International Journal of Production Research 62:5, pages 1928-1952.
Read now
Marco Ardolino, Andrea Bacchetti, Alexandre Dolgui, Guglielmo Franchini, Dmitry Ivanov & Anand Nair. (2024) The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review. International Journal of Production Research 62:5, pages 1953-1976.
Read now
Xinyue Wang, Tao Ren, Danyu Bai, Feng Chu, Yaodong Yu, Fanchun Meng & Chin-Chia Wu. (2024) Scheduling a multi-agent flow shop with two scenarios and release dates. International Journal of Production Research 62:1-2, pages 421-443.
Read now
Samuel Fosso Wamba, Cameron Guthrie, Maciel M. Queiroz & Stefan Minner. (2023) ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management. International Journal of Production Research 0:0, pages 1-21.
Read now
Alexandre Dolgui & Dmitry Ivanov. (2023) Metaverse supply chain and operations management. International Journal of Production Research 61:23, pages 8179-8191.
Read now
Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng & Min Xia. (2023) Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. International Journal of Production Research 61:23, pages 8252-8264.
Read now
Jianbo Yu, Shijin Li, Xing Liu, Yanfeng Gao, Shijin Wang & Changhui Liu. (2023) Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes. International Journal of Production Research 61:21, pages 7434-7452.
Read now
Victor Delpla, Kevin Chapron, Jean-Pierre Kenné & Lucas A. Hof. (2023) A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies. International Journal of Production Research 0:0, pages 1-22.
Read now
Narain Gupta, Goutam Dutta, Krishnendranath Mitra & Manoj Kumar Tiwari. (2023) Analytics with stochastic optimisation: experimental results of demand uncertainty in process industries. International Journal of Production Research 61:19, pages 6501-6518.
Read now
Nan Du, Yan Yang & Hesuan Hu. (2023) Robust deadlock control in automated manufacturing systems with unreliable resources based on an algebraic way. International Journal of Production Research 61:19, pages 6403-6417.
Read now
Timur Narbaev, Öncü Hazir, Balzhan Khamitova & Sayazhan Talgat. (2023) A machine learning study to improve the reliability of project cost estimates. International Journal of Production Research 0:0, pages 1-17.
Read now
Cádmo Augusto Rodrigues Dias & Jánes Landre Júnior. (2023) The use of artificial intelligence in driver-in-the-loop simulation: a literature review (2023). Australian Journal of Mechanical Engineering 0:0, pages 1-9.
Read now
Prashant K. Ambadekar, Sarita Ambadekar, C. M. Choudhari, Satish A. Patil & S.H. Gawande. (2023) Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective. Australian Journal of Mechanical Engineering 0:0, pages 1-21.
Read now
Yixin Li, Fu Hu, Ying Liu, Michael Ryan & Ray Wang. (2023) A hybrid model compression approach via knowledge distillation for predicting energy consumption in additive manufacturing. International Journal of Production Research 61:13, pages 4525-4547.
Read now
Chuqiao Xu, Junliang Wang, Jing Tao, Jie Zhang & Ray Y. Zhong. (2023) A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production. International Journal of Production Research 61:13, pages 4220-4236.
Read now
Dmitry Ivanov. (2023) The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research 61:5, pages 1683-1695.
Read now
Changqing Liu, Yingguang Li, Chong Huang, Yujie Zhao & Zhiwei Zhao. (2023) A meta-reinforcement learning method by incorporating simulation and real data for machining deformation control of finishing process. International Journal of Production Research 61:4, pages 1114-1128.
Read now
Dmitry Ivanov & Alexandre Dolgui. (2022) The shortage economy and its implications for supply chain and operations management. International Journal of Production Research 60:24, pages 7141-7154.
Read now
Jong-Min Kim & Il Do Ha. (2022) Deep learning-based residual control chart for count data. Quality Engineering 34:3, pages 370-381.
Read now
Oliver Antons & Julia C. Arlinghaus. (2022) Distributing decision-making authority in manufacturing – review and roadmap for the factory of the future. International Journal of Production Research 60:13, pages 4342-4360.
Read now
K. Sudha, Neeraj Kumar, Kusum Tharani & Ankita Anand. (2022) Real time driver fatigue surveillance system using machine learning. Journal of Information and Optimization Sciences 43:1, pages 239-244.
Read now
Roberto Noriega & Yashar Pourrahimian. Shovel allocation and scheduling for open-pit mining using deep reinforcement learning. International Journal of Mining, Reclamation and Environment 0:0, pages 1-18.
Read now
Janak Suthar, Jinil Persis, V. G. Venkatesh & Yangyan Shi. Exploring smart quality predictive modelling approach: a case study of the injection-molding industry. Production Planning & Control 0:0, pages 1-16.
Read now
Zhenrui Ji, Gang Liu, Wenjun Xu, Bitao Yao, Xuedong Liu & Zude Zhou. Deep reinforcement learning on variable stiffness compliant control for programming-free robotic assembly in smart manufacturing. International Journal of Production Research 0:0, pages 1-23.
Read now
Ilya Jackson, Dmitry Ivanov, Alexandre Dolgui & Jafar Namdar. Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation. International Journal of Production Research 0:0, pages 1-26.
Read now

Articles from other publishers (146)

Huan Liu, Shiyong Li, Wenzhe Li & Wei Sun. (2024) Efficient decentralized optimization for edge-enabled smart manufacturing: A federated learning-based framework. Future Generation Computer Systems 157, pages 422-435.
Crossref
Simone Arena, Eleonora Florian, Fabio Sgarbossa, Endre Sølvsberg & Ilenia Zennaro. (2024) A conceptual framework for machine learning algorithm selection for predictive maintenance. Engineering Applications of Artificial Intelligence 133, pages 108340.
Crossref
Chuqiao Xu, Linchen Xu, Shuxuan Zhao, Lianqing Yu & Chengjun Zhang. (2024) Complementary knowledge augmented multimodal learning method for yarn quality soft sensing. Engineering Applications of Artificial Intelligence 133, pages 108057.
Crossref
Anna Presciuttini, Alessandra Cantini, Federica Costa & Alberto Portioli-Staudacher. (2024) Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review. Journal of Manufacturing Systems 74, pages 477-486.
Crossref
Panagiotis Mallioris, Eirini Aivazidou & Dimitrios Bechtsis. (2024) Predictive maintenance in Industry 4.0: A systematic multi-sector mapping. CIRP Journal of Manufacturing Science and Technology 50, pages 80-103.
Crossref
Junbo He, Min Fan & Yaojun Fan. (2024) Digital transformation and supply chain efficiency improvement: An empirical study from a-share listed companies in China. PLOS ONE 19:4, pages e0302133.
Crossref
Saumyaranjan Sahoo & Arvind Upadhyay. (2024) Improving triple bottom line (TBL) performance: analyzing impacts of industry 4.0, lean six sigma and circular supply chain management. Annals of Operations Research.
Crossref
Krishna Sannasy Rao, Chong Peng Lean, Poh Kiat Ng, Feng Yuan Kong, Mohammed Reyasudin Basir Khan, Daniel Ismail & Chen Li. (2024) AI and ML in IR4.0: A Short Review of Applications and Challenges. Malaysian Journal of Science and Advanced Technology, pages 141-148.
Crossref
Rupayan Roy & Manoj Tiwari. 2024. Fostering Innovation in Venture Capital and Startup Ecosystems. Fostering Innovation in Venture Capital and Startup Ecosystems 147 170 .
K. Sudha, C. Balakrishnan, T. P. Anish, T. Nithya, B. Gracelin Sheena, B. Maheswari & R. Siva Subramanian. 2024. Industry Applications of Thrust Manufacturing. Industry Applications of Thrust Manufacturing 74 97 .
Teodora Rajković. (2024) Implementation of Industry 4.0: Examples from the Serbian Manufacturing Industry. Implementation of Industry 4.0: Examples from the Serbian Manufacturing Industry.
Vincent Ciancio, Lazhar Homri, Jean-Yves Dantan & Ali Siadat. (2023) Development of a flexible data management system, to implement predictive maintenance in the Industry 4.0 context. International Journal of Production Research 62:6, pages 2255-2271.
Crossref
Manisha Semwal, K. Sivasankari, Sirangi Karun Kumar, Nakka Naga Venkata Kanaka Durga Prasad, Myla Rama Krishna Raju & Vinjarapu Kavya Sree. (2024) Industrial Organization in the Industry 4.0 Era: Leveraging Machine Learning for Competitive Advantage. Industrial Organization in the Industry 4.0 Era: Leveraging Machine Learning for Competitive Advantage.
Leo Ramos, Edmundo Casas, Eduardo Bendek, Cristian Romero & Francklin Rivas-Echeverría. (2024) Computer vision for wildfire detection: a critical brief review. Multimedia Tools and Applications.
Crossref
Daniel Fernández, Álvaro Rodríguez-Prieto & Ana María Camacho. (2024) Data-Analytics-Driven Selection of Die Material in Multi-Material Co-Extrusion of Ti-Mg Alloys. Mathematics 12:6, pages 813.
Crossref
Yu Yao & Quan Qian. (2024) Dynamic Industrial Optimization: A Framework Integrates Online Machine Learning for Processing Parameters Design. Future Internet 16:3, pages 94.
Crossref
Harry KaySam KayMax Mowbray, Amanda LaneCesar MendozaPhilip Martin & Dongda Zhang. (2024) Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control. Industrial & Engineering Chemistry Research 63:9, pages 4083-4092.
Crossref
Harikrishna Ch, C.H. Nagaraju, N. Malleswararao Battina & Obula Reddy Kummitha. (2024) Hardness prediction in the upsetting process of Al%ZrO 2 —an approach to machine learning using regression and classification models . Transactions of the Canadian Society for Mechanical Engineering 48:1, pages 39-52.
Crossref
Mohsen Soori, Behrooz Arezoo & Roza Dastres. (2024) Virtual manufacturing in Industry 4.0: A review. Data Science and Management 7:1, pages 47-63.
Crossref
Paola Carou‐Senra, Lucía Rodríguez‐Pombo, Atheer Awad, Abdul W. Basit, Carmen Alvarez‐Lorenzo & Alvaro Goyanes. (2023) Inkjet Printing of Pharmaceuticals. Advanced Materials 36:11.
Crossref
Wiem Alloun & Cinzia Calvio. (2024) Bio-Driven Sustainable Extraction and AI-Optimized Recovery of Functional Compounds from Plant Waste: A Comprehensive Review. Fermentation 10:3, pages 126.
Crossref
Zehua Lv, Yibo Li, Siying Qian, Liuqing Wu & Yi Yang. (2024) Union channel pruning-based U2Net for online surface defect segmentation of aluminum strips in production processes. Journal of Intelligent Manufacturing.
Crossref
Dhruv Patel, Chandan Kumar Sahu & Rahul Rai. (2023) Security in modern manufacturing systems: integrating blockchain in artificial intelligence-assisted manufacturing. International Journal of Production Research 62:3, pages 1041-1071.
Crossref
Jinsu Gim, Chung-Yin Lin & Lih-Sheng Turng. (2024) In-mold condition-centered and explainable artificial intelligence-based (IMC-XAI) process optimization for injection molding. Journal of Manufacturing Systems 72, pages 196-213.
Crossref
Yezhen Peng, Qinghua Song, Runqiong Wang, Xinyu Yang, Zhanqiang Liu & Zhaojun Liu. (2024) A tool wear condition monitoring method for non-specific sensing signals. International Journal of Mechanical Sciences 263, pages 108769.
Crossref
Ajitha Kumari Vijayappan Nair Biju, Ann Susan Thomas & J Thasneem. (2023) Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis. Quality & Quantity 58:1, pages 849-878.
Crossref
Qibin Yue, Yan He, Yufeng Li & Shufei Tian. (2024) Modeling and optimization of surface residual stress profiles in milling of aluminum 7075-T6 alloy. The International Journal of Advanced Manufacturing Technology 130:11-12, pages 5913-5934.
Crossref
Umer Farooq, Moses Ademola & Abdu Shaalan. (2024) Comparative Analysis of Machine Learning Models for Predictive Maintenance of Ball Bearing Systems. Electronics 13:2, pages 438.
Crossref
Enrico Mendez, Oscar Ochoa, David Olivera-Guzman, Victor Hugo Soto-Herrera, José Alfredo Luna-Sánchez, Carolina Lucas-Dophe, Eloina Lugo-del-Real, Ivo Neftali Ayala-Garcia, Miriam Alvarado Perez & Alejandro González. (2024) Integration of Deep Learning and Collaborative Robot for Assembly Tasks. Applied Sciences 14:2, pages 839.
Crossref
Zhicheng Xu, Vignesh Selvaraj & Sangkee Min. (2024) Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model. Journal of Intelligent Manufacturing.
Crossref
Yongjiang Huyan. (2024) Manufacturing automation standards for smart fabrication using robot in kinematics control system with machine learning model. The International Journal of Advanced Manufacturing Technology.
Crossref
Erfan Babaee Tirkolaee, Nadi Serhan Aydin & Iraj Mahdavi. (2024) A Hybrid Biobjective Markov Chain Based Optimization Model for Sustainable Aggregate Production Planning. IEEE Transactions on Engineering Management 71, pages 4273-4283.
Crossref
Meyra Chusna Mayarakaca & Byung Moo Lee. (2024) A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach. IEEE Access 12, pages 51138-51165.
Crossref
Amina Zaoui, Dieudonné Tchuente, Samuel Fosso Wamba & Bernard Kamsu-Foguem. (2024) Impact of artificial intelligence on aeronautics: An industry-wide review. Journal of Engineering and Technology Management 71, pages 101800.
Crossref
Minghao Zhu, Chen Liang, Andy C.L. Yeung & Honggeng Zhou. (2024) The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies. International Journal of Production Economics 267, pages 109070.
Crossref
G. Wendin. 2024. Encyclopedia of Condensed Matter Physics. Encyclopedia of Condensed Matter Physics 246 267 .
B. V. R. Ravi Kumar, Kaveti Upender, M. Venkata Ramana & M. S. Sreenivasa Rao. 2024. Recent Advances in Mechanical Engineering, Volume 1. Recent Advances in Mechanical Engineering, Volume 1 417 428 .
Ajay Kumar Badhan, Abhishek Bhattacherjee & Rita Roy. 2024. Data Analytics and Machine Learning. Data Analytics and Machine Learning 171 193 .
Ieva Meidutė-Kavaliauskienė & Renata Činčikaitė. 2024. Reliability and Statistics in Transportation and Communication. Reliability and Statistics in Transportation and Communication 247 258 .
Rakesh Gnanasekaran, Sandhya Soman, Gnanasankaran Natarajan & Sabah Ali AL’Abd AL-Busaidi. 2024. Intelligent Robots and Drones for Precision Agriculture. Intelligent Robots and Drones for Precision Agriculture 265 282 .
Gabriele Zangara, Francesco Gagliardi, Luigino Filice & Giuseppina Ambrogio. 2024. Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity. Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity 59 67 .
Reena Thakur, Prashant Panse, Parul Bhanarkar & Pradnya Borkar. 2023. Research Trends in Artificial Intelligence: Internet of Things. Research Trends in Artificial Intelligence: Internet of Things 42 53 .
G. Schuh, L. Cassel & Marc Uedelhoven. (2023) Concept for the Evaluation and Prioritization of Machine Learning Use Cases in Industrial Production. Concept for the Evaluation and Prioritization of Machine Learning Use Cases in Industrial Production.
T. Sathies Kumar, S. Arunprasad, A. Eniyan, P.Abdul Azeez, S. Bharath Kumar & P. Sushanth. (2023) Crop Selection and Cultivaton using Machine Learning. Crop Selection and Cultivaton using Machine Learning.
Arunprasad S, Saravanakumar L, J Sankar Akash, Anton Joshwa S, Praveen V & Mogana Krishnan R D. (2023) An Overview of Machine Learning for Mechanical Applications. An Overview of Machine Learning for Mechanical Applications.
Yibo Sun, Xinming Wang, Cong hou & Jun Ni. (2023) Interpretable Machine Learning to Discover Perovskites with High Spontaneous Polarization. The Journal of Physical Chemistry C 127:49, pages 23897-23905.
Crossref
Ritvik Mahapatra & Kumar Gaurav. (2023) Real Time Quality Assessment in a Production Line: Machine Learning Approach. Real Time Quality Assessment in a Production Line: Machine Learning Approach.
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue & Zhenyu Kong. (2023) Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 45:12, pages 15588-15603.
Crossref
Ilya Jackson & Dmitry Ivanov. (2023) A beautiful shock? Exploring the impact of pandemic shocks on the accuracy of AI forecasting in the beauty care industry. Transportation Research Part E: Logistics and Transportation Review 180, pages 103360.
Crossref
Abid Hasan Zim, Aquib Iqbal, Liakat Hossain, Sajjad Arif, Asad Malik, Inayat Rasool, Minoru Kuribayashi & Farooque Ahmad. (2023) Smart manufacturing with transfer learning under limited data: Towards Data-Driven Intelligences. Materials Today Communications 37, pages 107357.
Crossref
Sven Meier, Steffen Klarmann, Nils Thielen, Christian Pfefferer, Marlene Kuhn & Jörg Franke. (2023) A process model for systematically setting up the data basis for data-driven projects in manufacturing. Journal of Manufacturing Systems 71, pages 1-19.
Crossref
Paola Carou-Senra, Jun Jie Ong, Brais Muñiz Castro, Iria Seoane-Viaño, Lucía Rodríguez-Pombo, Pedro Cabalar, Carmen Alvarez-Lorenzo, Abdul W. Basit, Gilberto Pérez & Alvaro Goyanes. (2023) Predicting pharmaceutical inkjet printing outcomes using machine learning. International Journal of Pharmaceutics: X 5, pages 100181.
Crossref
Jeetu Rana & Yash Daultani. (2022) Mapping the Role and Impact of Artificial Intelligence and Machine Learning Applications in Supply Chain Digital Transformation: A Bibliometric Analysis. Operations Management Research 16:4, pages 1641-1666.
Crossref
Tuba Siraj Ansari & Syed Ali Ammar Taqvi. (2023) State‐of‐the‐Art Review on the Applications of Nonlinear and Artificial Intelligence‐Based Controllers in Petrochemical Processes. ChemBioEng Reviews 10:6, pages 884-906.
Crossref
Alexander I. Balitskii, Andriy M. Syrotyuk, Maria R. Havrilyuk, Valentina O. Balitska, Valerii O. Kolesnikov & Ljubomyr M. Ivaskevych. (2023) Hydrogen Cooling of Turbo Aggregates and the Problem of Rotor Shafts Materials Degradation Evaluation. Energies 16:23, pages 7851.
Crossref
Oscar Ochoa, Enrico Mendez, Carolina Lucas-Dophe, José Alfredo Luna-Sánchez, Victor Hugo Soto-Herrera, David Olivera-Guzman, Miriam Alvarado Perez, Eloina del-Real, Ivo N. Ayala-García & Alejandro González. (2023) Flexible Human-Robot Interaction: Collaborative Robot Integrated with Hand Tracking. Flexible Human-Robot Interaction: Collaborative Robot Integrated with Hand Tracking.
Aiasha Siddika & Liang Zhao. (2023) Enhancing Trust and Reliability in AI and ML: Assessing Blockchain's Potential to Ensure Data Integrity and Security. Enhancing Trust and Reliability in AI and ML: Assessing Blockchain's Potential to Ensure Data Integrity and Security.
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino & Mauro Caputo. (2023) Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Journal of Intelligent Manufacturing.
Crossref
Himani Saini & Jasminder Kaur Sandhu. (2023) Hybrid Deep Learning Model for The SmartManufacturing. Hybrid Deep Learning Model for The SmartManufacturing.
Ruchi Chauhan, Arunava Majumder & Varun Kumar. (2023) The impact of adopting customization policy and sustainability for improving consumer service in a dual-channel retailing. Journal of Retailing and Consumer Services 75, pages 103504.
Crossref
Farhan A. Alenizi, Shirin Abbasi, Adil Hussein Mohammed & Amir Masoud Rahmani. (2023) The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions. Computers & Industrial Engineering 185, pages 109662.
Crossref
Latifa Nabila Harfiya, Yan-Cheng Hsu, Yung-Hui Li & Jia-Ching Wang. (2023) On the Optimal Self-Supervised Multi-Fault Detector for Temperature Sensor Data. On the Optimal Self-Supervised Multi-Fault Detector for Temperature Sensor Data.
Madhurima Sharma, Manu Sharma, Mohnish Sharma, Kuldeep Singh Yadav & Shailja Shukla. (2023) Industry 4.0 Technologies for Smart Manufacturing: A Systematic Review of Machine Learning Methods for Predictive Maintenance. Industry 4.0 Technologies for Smart Manufacturing: A Systematic Review of Machine Learning Methods for Predictive Maintenance.
Pierre Bouquet, Ilya Jackson, Mostafa Nick & Amin Kaboli. (2023) AI-based forecasting for optimised solar energy management and smart grid efficiency. International Journal of Production Research, pages 1-22.
Crossref
Francisco Javier Álvarez García, Óscar López Pérez, Alfonso González González & David Rodríguez Salgado. An Approach to Zero-Failures Maintenance Using Industry 4.0 in Network Connected Multistage Industrial Machines. An Approach to Zero-Failures Maintenance Using Industry 4.0 in Network Connected Multistage Industrial Machines.
Vivek Chavan, Paul Koch, Marian Schlüter & Clemens Briese. (2023) Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint. Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint.
Ravi Ranjan Prasad Karn, Rakesh Kumar Sanodiya & Priyam Bajpai. (2023) A unified framework for visual domain adaptation with covariance matching. Knowledge-Based Systems 278, pages 110894.
Crossref
Madapu Amarlingam, AVSK Harish, Santonu Sarkar & Jan Christoph Schlake. (2023) Data Flow as Code: Managing Data Flow in an Industrial Hierarchical Edge Network. Data Flow as Code: Managing Data Flow in an Industrial Hierarchical Edge Network.
Pedro G.S. Contieri, Amauri Hassui, Luis A. Santa-Eulalia, Tiago F.A.C. Sigahi, Izabela Simon Rampasso, Gustavo Hermínio Salati Marcondes de Moraes & Rosley Anholon. (2023) Difficulties and challenges in the modernization of a production cell with the introduction of Industry 4.0 technologies. Benchmarking: An International Journal.
Crossref
Wenzhao Li & Mingji Liu. (2023) Interpretable Machine Learning Workflow for Evaluating and Analyzing the Performance of High-Entropy GeTe-Based Thermoelectric Materials. ACS Applied Electronic Materials 5:8, pages 4523-4533.
Crossref
Smita Abhijit Ganjare, Sunil M. Satao & Vaibhav Narwane. (2023) Systematic literature review of machine learning for manufacturing supply chain. The TQM Journal.
Crossref
Delali Kwasi Dake, Edward Nwiah, Griffith Selorm Klogo & Wisdom Xornam Ativi. (2023) Instructor-assisted question classification system using machine learning algorithms with N-gram and weighting schemes. Discover Artificial Intelligence 3:1.
Crossref
Ali Hosseinzadeh, F. Frank Chen, Mohammad Shahin & Hamed Bouzary. (2023) A predictive maintenance approach in manufacturing systems via AI-based early failure detection. Manufacturing Letters 35, pages 1179-1186.
Crossref
Md. Sazzadur Rahman, Tapotosh Ghosh, Nahid Ferdous Aurna, M. Shamim Kaiser, Mehrin Anannya & A.S.M. Sanwar Hosen. (2023) Machine learning and internet of things in industry 4.0: A review. Measurement: Sensors 28, pages 100822.
Crossref
Hamed Jahani, Richa Jain & Dmitry Ivanov. (2023) Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research. Annals of Operations Research.
Crossref
Hyungjung Kim, Ying-Jun Quan, Guyeop Jung, Kyu-Wha Lee, Suhwan Jeong, Won-Jae Yun, Suyoung Park & Sung-Hoon Ahn. (2023) Smart Factory Transformation Using Industry 4.0 toward ESG Perspective: A Critical Review and Future Direction. International Journal of Precision Engineering and Manufacturing-Smart Technology 1:2, pages 165-185.
Crossref
Daniele Atzeni, Reshawn Ramjattan, Roberto Figliè, Giacomo Baldi & Daniele Mazzei. (2023) Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases. Sensors 23:13, pages 6078.
Crossref
Vignesh Selvaraj & Sangkee Min. (2023) Real-Time Fault Identification System for a Retrofitted Ultra-Precision CNC Machine from Equipment's Power Consumption Data: A Case Study of an Implementation. International Journal of Precision Engineering and Manufacturing-Green Technology 10:4, pages 925-941.
Crossref
David Mendes, Pedro D. Gaspar, Fernando Charrua-Santos & Helena Navas. (2023) Integrating TPM and Industry 4.0 to Increase the Availability of Industrial Assets: A Case Study on a Conveyor Belt. Processes 11:7, pages 1956.
Crossref
Max Simon Teubl, Vitaliy Mezhuyev & Martin Tschandl. (2023) Development of an ML model for the classification of surface quality in a milling process. Development of an ML model for the classification of surface quality in a milling process.
Li-Kun Yuan, Bao-Chang Xu, Zhi-Shan Liang & Ya-Xin Wang. (2023) Chemical process modelling using the extracted informative data sets based on attenuating excitation inputs. Journal of the Taiwan Institute of Chemical Engineers 146, pages 104872.
Crossref
Cátia Araújo, Diogo Pereira, Diana Dias, Rita Marques & Sílvia Cruz. (2023) In-cavity pressure measurements for failure diagnosis in the injection moulding process and correlation with numerical simulation. The International Journal of Advanced Manufacturing Technology 126:1-2, pages 291-300.
Crossref
Silvestro Vespoli, Andrea Grassi, Guido Guizzi & Valentina Popolo. (2023) Generalised Performance Estimation in Novel Hybrid MPC Architectures: Modeling the CONWIP Flow-Shop System. Applied Sciences 13:8, pages 4808.
Crossref
Shantanu Dey. (2023) Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge”. Sustainable Manufacturing and Service Economics 2, pages 100008.
Crossref
V Asha, G Prathap Reddy, B Nithya, Kiran Tungal, V Durgaprasad & T N Kruthik. (2023) Implication and Advantages of Machine Learning-based Chatbots in Diverse Disciplines. Implication and Advantages of Machine Learning-based Chatbots in Diverse Disciplines.
Jože M. Rožanec, Luka Bizjak, Elena Trajkova, Patrik Zajec, Jelle Keizer, Blaž Fortuna & Dunja Mladenić. (2023) Active learning and novel model calibration measurements for automated visual inspection in manufacturing. Journal of Intelligent Manufacturing.
Crossref
Roland Bolboacă & Piroska Haller. (2023) Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data. Mathematics 11:6, pages 1432.
Crossref
Pinmanee Insua, Wasawat Nakkiew & Warisa Wisittipanich. (2023) Post Weld Heat Treatment Optimization of Dissimilar Friction Stir Welded AA2024-T3 and AA7075-T651 Using Machine Learning and Metaheuristics. Materials 16:5, pages 2081.
Crossref
Jiuh‐Biing Sheu & Tsan‐Ming Choi. (2023) Can we work more safely and healthily with robot partners? A human‐friendly robot–human‐coordinated order fulfillment scheme. Production and Operations Management 32:3, pages 794-812.
Crossref
Wongchai A, Mohammed A. S. Abourehab, Mohammed Altaf Ahmed, Saibal Dutta, Koduganti Venkatrao & Kashif Irshad. (2023) Application of soft sensors and ant colony optimiation for monitoring and managing defects in the automation industry. The International Journal of Advanced Manufacturing Technology.
Crossref
Kajal Baviskar, Anjali Bedse, Shilpa Raut & Narayana Darapaneni. 2023. Bioinformatics Tools for Pharmaceutical Drug Product Development. Bioinformatics Tools for Pharmaceutical Drug Product Development 197 231 .
Tingting Chen, Vignesh Sampath, Marvin Carl May, Shuo Shan, Oliver Jonas Jorg, Juan José Aguilar Martín, Florian Stamer, Gualtiero Fantoni, Guido Tosello & Matteo Calaon. (2023) Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’. Applied Sciences 13:3, pages 1903.
Crossref
Aakif Anjum, A.A. Shaikh & Nilesh Tiwari. (2023) Experimental investigations and modeling for multi-pass laser micro-milling by soft computing-physics informed machine learning on PMMA sheet using CO2 laser. Optics & Laser Technology 158, pages 108922.
Crossref
Steven Wainaina & Mohammad J. Taherzadeh. (2023) Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review. Bioresource Technology 369, pages 128421.
Crossref
Tufail Habib, Muhammad Omair, Muhammad Salman Habib, Muhammad Zeeshan Zahir, Sikandar Bilal Khattak, Se-Jin Yook, Muhammad Aamir & Rehman Akhtar. (2023) Modular Product Architecture for Sustainable Flexible Manufacturing in Industry 4.0: The Case of 3D Printer and Electric Toothbrush. Sustainability 15:2, pages 910.
Crossref
Vagan Terziyan, Olena Kaikova, Diana Malyk & Vladyslav Branytskyi. (2023) The Truth is Out There: Focusing on Smaller to Guess Bigger in Image Classification. Procedia Computer Science 217, pages 1323-1334.
Crossref
Vagan Terziyan, Diana Malyk, Mariia Golovianko & Vladyslav Branytskyi. (2023) Encryption and Generation of Images for Privacy-Preserving Machine Learning in Smart Manufacturing. Procedia Computer Science 217, pages 91-101.
Crossref
Xinxiang Ji & Shiva Abdoli. (2023) Challenges and Opportunities in Product Life Cycle Management in the Context of Industry 4.0. Procedia CIRP 119, pages 29-34.
Crossref
Zakaria El Hathat, V. Raja Sreedharan, V.G. Venkatesh, Tarik Zouadi, Manimuthu Arunmozhi & Yangyan Shi. (2023) Modelling and analyzing the GHG emissions in the VUCA world: Evidence from tomato production in Morocco. Journal of Cleaner Production 382, pages 134862.
Crossref
Yaonan Cheng, Xiaoyu Gai, Rui Guan, Yingbo Jin, Mengda Lu & Ya Ding. (2023) Tool wear intelligent monitoring techniques in cutting: a review. Journal of Mechanical Science and Technology 37:1, pages 289-303.
Crossref
Sachin Kumar, T. Gopi, N. Harikeerthana, Munish Kumar Gupta, Vidit Gaur, Grzegorz M. Krolczyk & ChuanSong Wu. (2022) Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control. Journal of Intelligent Manufacturing 34:1, pages 21-55.
Crossref
Prateek Kumar Tripathi, Arun Kumar Deshmukh & Tribhuvan Nath. 2023. Supply Chain Risk and Disruption Management. Supply Chain Risk and Disruption Management 73 94 .
Harika Bhogaraju, Arushi Jain, Jyotika Jaiswal & Adolfo R. Escobedo. 2023. Advances in Computational Collective Intelligence. Advances in Computational Collective Intelligence 3 16 .
Francisco J. Montáns, Elías Cueto & Klaus-Jürgen Bathe. 2023. Machine Learning in Modeling and Simulation. Machine Learning in Modeling and Simulation 1 83 .
Danilo G. Schneider & Marcelo R. Stemmer. 2023. Technological Innovation for Connected Cyber Physical Spaces. Technological Innovation for Connected Cyber Physical Spaces 135 146 .
Huu Du Nguyen & Kim Phuc Tran. 2023. Artificial Intelligence for Smart Manufacturing. Artificial Intelligence for Smart Manufacturing 5 33 .
Ta Phuong Bac, Do Thu Ha, Kim Duc Tran & Kim Phuc Tran. 2023. Artificial Intelligence for Smart Manufacturing. Artificial Intelligence for Smart Manufacturing 199 223 .
Alan Yamir Rodríguez Gallegos, Luis Carlos Méndez-González, Alan Iván Hernández Holguín & Luis Alberto Rodríguez-Picón. 2023. Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems. Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems 21 42 .
Marta Tarazona, Josefa Mula & Raul Poler. 2023. IoT and Data Science in Engineering Management. IoT and Data Science in Engineering Management 107 112 .
Hussam Bin Mehare, Jishnu Pillai Anilkumar & Mohammad “Sufian” Badar. 2023. A Guide to Applied Machine Learning for Biologists. A Guide to Applied Machine Learning for Biologists 189 220 .
Stijn Yska, Denisse Bustos & J. C. Guedes. 2023. Occupational and Environmental Safety and Health IV. Occupational and Environmental Safety and Health IV 541 551 .
Alok Yadav, Rajiv Kumar Garg & Anish Kumar Sachdeva. (2022) Application of Machine Learning for Sustainability in Manufacturing Supply Chain Industry 4.0 Perspective: A Bibliometric Based Review for Future Research. Application of Machine Learning for Sustainability in Manufacturing Supply Chain Industry 4.0 Perspective: A Bibliometric Based Review for Future Research.
Syed Mansoor Ali, Nevan Nicholas Johnson, Vaishnav Madhavadas, Anoj Giri, Jambeswar Sahu, Suya Prem Anand & C S Srivas. (2022) Investigation on the effect of grinding wheel for grinding of AISI D3 tool steel under different conditions. Engineering Research Express 4:4, pages 045036.
Crossref
John Howard. (2022) Algorithms and the future of work. American Journal of Industrial Medicine 65:12, pages 943-952.
Crossref
Pradeep Kumar Hanumegowda & Sakthivel Gnanasekaran. (2022) Prediction of Work-Related Risk Factors among Bus Drivers Using Machine Learning. International Journal of Environmental Research and Public Health 19:22, pages 15179.
Crossref
Daniele Mazzei & Reshawn Ramjattan. (2022) Machine Learning for Industry 4.0: A Systematic Review Using Deep Learning-Based Topic Modelling. Sensors 22:22, pages 8641.
Crossref
Alisha Lakra, Shubhkirti Gupta, Ravi Ranjan, Sushanta Tripathy & Deepak Singhal. (2022) The Significance of Machine Learning in the Manufacturing Sector: An ISM Approach. Logistics 6:4, pages 76.
Crossref
Ramya S.Madhubala P.Sushmitha E. C.D. Manivannan & A. Al Firthous. 2022. Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era. Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era 211 222 .
Rasoul Rashidifar, Hamed Bouzary & F. Frank Chen. (2022) Resource scheduling in cloud-based manufacturing system: a comprehensive survey. The International Journal of Advanced Manufacturing Technology 122:11-12, pages 4201-4219.
Crossref
Qiubo Li & Hongyu Shi. (2022) The Panel Spatial Econometric Analysis for Development of Green Intensive Agriculture Based on Edge Computing and Internet of Things. Journal of Environmental and Public Health 2022, pages 1-11.
Crossref
Vinit Hegiste, Tatjana Legler & Martin Ruskowski. (2022) Application of Federated Machine Learning in Manufacturing. Application of Federated Machine Learning in Manufacturing.
Saju T. Abraham, Manju Mohan, Pandian Chelliah, Krishnan Balasubramaniam & B Venkatraman. (2022) A machine learning approach to nonlinear ultrasonics for classifying annealing conditions in austenitic stainless steel. Journal of Applied Physics 132:11.
Crossref
Toufik Bettahar, Rahmoune Chemseddine & Djamel Benazzouz. (2022) Faults’ Diagnosis of Time-Varying Rotational Speed Machinery Based on Vibration and Acoustic Signals Features Extraction, and Machine Learning Methods. Journal of Vibration Engineering & Technologies.
Crossref
Arif Furkan Mendi. (2022) A Digital Twin Case Study on Automotive Production Line. Sensors 22:18, pages 6963.
Crossref
Benjamin Maschler, Tim Knodel & Michael Weyrich. (2022) Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection.
Kannan Govindan, Devika Kannan, Thomas Ballegård Jørgensen & Tim Straarup Nielsen. (2022) Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence. Transportation Research Part E: Logistics and Transportation Review 164, pages 102725.
Crossref
Alicja Kwasniewska, Sharath Raghava, Carlos Davila, Mikael Sevenier, David Gamba & Jacek Ruminski. (2022) Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems. Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems.
Shanyan Liu & Zhengming Gao. (2022) Modeling and Verification of Intelligent Manufacturing Product Line System with Timed Automata. Modeling and Verification of Intelligent Manufacturing Product Line System with Timed Automata.
Fawaz Alassery. (2022) Predictive maintenance for cyber physical systems using neural network based on deep soft sensor and industrial internet of things. Computers and Electrical Engineering 101, pages 108062.
Crossref
Iulian Ogrezeanu, Anamaria Vizitiu, Costin Ciușdel, Andrei Puiu, Simona Coman, Cristian Boldișor, Alina Itu, Robert Demeter, Florin Moldoveanu, Constantin Suciu & Lucian Itu. (2022) Privacy-Preserving and Explainable AI in Industrial Applications. Applied Sciences 12:13, pages 6395.
Crossref
Jong-Min Kim, Jihun Kim & Il Do Ha. (2022) Application of Deep Learning and Neural Network to Speeding Ticket and Insurance Claim Count Data. Axioms 11:6, pages 280.
Crossref
Dmitry Ivanov. (2022) Blackout and supply chains: Cross-structural ripple effect, performance, resilience and viability impact analysis. Annals of Operations Research.
Crossref
Hanane Zermane & Abbes Drardja. (2022) Development of an efficient cement production monitoring system based on the improved random forest algorithm. The International Journal of Advanced Manufacturing Technology 120:3-4, pages 1853-1866.
Crossref
Bożena Gajdzik & Radosław Wolniak. (2022) Smart Production Workers in Terms of Creativity and Innovation: The Implication for Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity 8:2, pages 68.
Crossref
Manju Mohan & M. M. Ramya. (2022) Classification of process conditions in martensitic stainless steel: A machine learning approach on magnetic Barkhausen emission signals. Journal of Applied Physics 131:12.
Crossref
Mohammad Amin Amani & Samuel Asumadu Sarkodie. (2022) Mitigating spread of contamination in meat supply chain management using deep learning. Scientific Reports 12:1.
Crossref
Tsan-Ming Choi, Alexandre Dolgui, Dmitry Ivanov & Erwin Pesch. (2022) OR and analytics for digital, resilient, and sustainable manufacturing 4.0. Annals of Operations Research 310:1, pages 1-6.
Crossref
D. N. Sarma A.. 2022. Handbook of Research on Foundations and Applications of Intelligent Business Analytics. Handbook of Research on Foundations and Applications of Intelligent Business Analytics 21 46 .
Rishi Kumar, Rishi Ghosh, Rohan Malik, Kuldip Singh Sangwan & Christoph Herrmann. (2022) Development of Machine Learning Algorithm for Characterization and Estimation of Energy Consumption of Various Stages during 3D Printing. Procedia CIRP 107, pages 65-70.
Crossref
Tolga İnan, Timur Narbaev & Öncü Hazir. (2022) A Machine Learning Study to Enhance Project Cost Forecasting. IFAC-PapersOnLine 55:10, pages 3286-3291.
Crossref
I. Rasovska, I. Deniaud, F. Marmier & J.-L. Michalak. (2022) Learning factory FleXtory: Interactive loops between real and virtual factory through digital twin. IFAC-PapersOnLine 55:10, pages 1938-1943.
Crossref
Mohamed-Larbi Rebaiaia & Daoud Ait-Kadi. (2022) A Remaining Useful Life Model for Optimizing Maintenance cost and Spare-parts replacement of Production Systems in the Context of Sustainability. IFAC-PapersOnLine 55:10, pages 1562-1568.
Crossref
William Quinn, Victor Cionca, Kritchai Witheephanich & Cemalettin Ozturk. (2022) A Learning Factory Framework: Challenges and Solutions for an Irish University*. IFAC-PapersOnLine 55:10, pages 631-636.
Crossref
Mohammed Hlayel, Mohammed Saeed Jawad, Hairulnizam Mahdin, Salama A. Mostafa, Nayef Abdulwahab Mohammed Alduais & Mohd Helmy Abd Wahab. (2021) Industrial Digital Twins Powered by Artificial Intelligence Solutions for Enhanced Product Life-Cycle Development. Industrial Digital Twins Powered by Artificial Intelligence Solutions for Enhanced Product Life-Cycle Development.
Dmitry Ivanov, Alexander Tsipoulanidis & Jörn SchönbergerDmitry Ivanov, Alexander Tsipoulanidis & Jörn Schönberger. 2021. Global Supply Chain and Operations Management. Global Supply Chain and Operations Management 521 581 .
Miro Hegedić, Petar Gregurić, Mihael Gudlin, Matija Golec, Anja Đenadija, Nataša Tošanović & Nedeljko Štefanić. (2022) Designing Modular Learning Factory Concept at the FMENA Zagreb - a Case Study. SSRN Electronic Journal.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.