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Special issue: Artificial Intelligence in Manufacturing and Logistics Systems: Algorithms, Applications, and Case Studies

Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies

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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.
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Andrew Kusiak. (2023) Predictive models in digital manufacturing: research, applications, and future outlook. International Journal of Production Research 61:17, pages 6052-6062.
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Farheen Naz, Anil Kumar, Rohit Agrawal, Jose Arturo Garza-Reyes, Abhijit Majumdar & Hemakshi Chokshi. (2023) Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions. Production Planning & Control 0:0, pages 1-24.
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Sunil Kumar Jauhar, Shashank Mayurkumar Jani, Sachin S. Kamble, Saurabh Pratap, Amine Belhadi & Shivam Gupta. (2023) How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains. International Journal of Production Research 0:0, pages 1-25.
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Christian M. Lerch, Heidi Heimberger, Angela Jäger, Djerdj Horvat & Frank Schultmann. (2022) AI-readiness and production resilience: empirical evidence from German manufacturing in times of the Covid-19 pandemic. International Journal of Production Research 0:0, pages 1-22.
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Naoum Tsolakis, Dimitris Zissis, Spiros Papaefthimiou & Nikolaos Korfiatis. (2022) Towards AI driven environmental sustainability: an application of automated logistics in container port terminals. International Journal of Production Research 60:14, pages 4508-4528.
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Arunmozhi Manimuthu, V. G. Venkatesh, V. Raja Sreedharan & Venkatesh Mani. (2022) Modelling and analysis of artificial intelligence for commercial vehicle assembly process in VUCA world: a case study. International Journal of Production Research 60:14, pages 4529-4547.
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Bongsug (Kevin) Chae & David Olson. (2022) Technologies and applications of Industry 4.0: insights from network analytics. International Journal of Production Research 60:12, pages 3682-3704.
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Daryl John Powell. (2024) Artificial intelligence in lean manufacturing: digitalization with a human touch?. International Journal of Lean Six Sigma 15:3, pages 719-729.
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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.
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Chun Muk Jo, Woong Ki Jang, Young Ho Seo & Byeong Hee Kim. (2024) In Situ Surface Defect Detection in Polymer Tube Extrusion: AI-Based Real-Time Monitoring Approach. Sensors 24:6, pages 1791.
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Shuvo Dip Datta, Mobasshira Islam, Md. Habibur Rahman Sobuz, Shakil Ahmed & Moumita Kar. (2024) Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review. Heliyon 10:5, pages e26888.
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Shahriar Akter, Mujahid Mohiuddin Babu, Umme Hani, Saida Sultana, Ruwan Bandara & David Grant. (2024) Unleashing the power of artificial intelligence for climate action in industrial markets. Industrial Marketing Management 117, pages 92-113.
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Artem A. Nazarenko, Majid Zamiri, Joao Sarraipa, Paulo Figueiras, Ricardo Jardim-Goncalves & Néjib Moalla. (2024) Integration of AI Use Cases in Training to Support Industry 4.0. Journal of Advances in Information Technology 15:3, pages 397-406.
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Jin-Seop Lee, Tae-Hyun Kim, Sang-Hwan Jeon, Sung-Hyun Park, Sang-Hi Kim, Eun-Ho Lee & Jee-Hyong Lee. (2024) Automation of trimming die design inspection by zigzag process between AI and CAD domains. Engineering Applications of Artificial Intelligence 127, pages 107283.
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Aicha Hassan, Hager Triki, Hassen Trabelsi & Mohamed Haddar. 2024. Advances in Materials, Mechanics and Manufacturing III. Advances in Materials, Mechanics and Manufacturing III 406 415 .
Soumya Prakash Rath, Rajen Tripathy & Nikunj Kumar Jain. 2024. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies 115 128 .
Athakorn Kengpol & Pornthip Tabkosai. (2023) Hybrid deep learning cost evaluation using CNN with ANN for the plastic injection industry. Neural Computing and Applications 35:31, pages 23153-23175.
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Svetlana Ivanova, Aleksandr Kuznetsov, Roman Zverev & Artem Rada. (2023) Artificial Intelligence Methods for the Construction and Management of Buildings. Sensors 23:21, pages 8740.
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Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli Ghinani, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Ruben Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaž Fortuna, Dunja Mladenić & John Soldatos. (2022) Human-centric artificial intelligence architecture for industry 5.0 applications. International Journal of Production Research 61:20, pages 6847-6872.
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Monica G. Cardoso, Enrique Ares, Luis Pinto Ferreira & Gustavo Peláez. The Use of Simulation and Artificial Intelligence as a Decision Support Tool for Sustainable Production Lines. The Use of Simulation and Artificial Intelligence as a Decision Support Tool for Sustainable Production Lines.
Jerzy Korczak, Ilona Pawełoszek & Maciej Pondel. (2024) Generatywne modele sztucznej inteligencji w zarządzaniu. Przegląd Organizacji, pages 255-263.
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Evgeny Burnaev, Evgeny Mironov, Aleksei Shpilman, Maxim Mironenko & Dmitry Katalevsky. (2023) Practical AI Cases for Solving ESG Challenges. Sustainability 15:17, pages 12731.
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Sekar Kidambi Raju, Seethalakshmi Ramaswamy, Marwa M. Eid, Sathiamoorthy Gopalan, Amel Ali Alhussan, Arunkumar Sukumar & Doaa Sami Khafaga. (2023) Enhanced Dual Convolutional Neural Network Model Using Explainable Artificial Intelligence of Fault Prioritization for Industrial 4.0. Sensors 23:15, pages 7011.
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Ciprian-Sorin Chirvase & Andreea Zamfir. (2023) Exploring Enterprise Resource Planning (ERP) Development: Challenges, Opportunities and How Can Help Companies Navigate Turbulent Contemporary Times. Proceedings of the International Conference on Business Excellence 17:1, pages 1919-1928.
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Miha Dominko, Kaja Primc, Renata Slabe-Erker & Barbara Kalar. (2022) A bibliometric analysis of circular economy in the fields of business and economics: towards more action-oriented research. Environment, Development and Sustainability 25:7, pages 5797-5830.
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Fotis Kitsios, Maria Kamariotou, Aristomenis I. Syngelakis & Michael A. Talias. (2023) Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review. Applied Sciences 13:13, pages 7479.
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Ignat Kulkov. (2021) Next-generation business models for artificial intelligence start-ups in the healthcare industry. International Journal of Entrepreneurial Behavior & Research 29:4, pages 860-885.
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Kirti Nayal, Rakesh D. Raut, Maciel M. Queiroz, Vinay Surendra Yadav & Balkrishna E. Narkhede. (2021) Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective. The International Journal of Logistics Management 34:2, pages 304-335.
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Akshansh Mishra. (2023) Artificial intelligence algorithms for prediction of the ultimate tensile strength of the friction stir welded magnesium alloys. International Journal on Interactive Design and Manufacturing (IJIDeM).
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Omar Ali, Wiem Abdelbaki, Anup Shrestha, Ersin Elbasi, Mohammad Abdallah Ali Alryalat & Yogesh K Dwivedi. (2023) A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge 8:1, pages 100333.
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Kosmas Alexopoulos, Nikolaos Nikolakis, Emmanouil Bakopoulos, Vasilis Siatras & Panagiotis Mavrothalassitis. (2023) Machine Learning Agents Augmented by Digital Twinning for Smart Production Scheduling. IFAC-PapersOnLine 56:2, pages 2963-2968.
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Qiuping Zhang, Lei Shi & Shujie Sun. 2023. Cyber Security Intelligence and Analytics. Cyber Security Intelligence and Analytics 378 387 .
Zhong Zheng, Wanxian He & Jinming Chen. 2023. Advances in Intelligent Systems, Computer Science and Digital Economics IV. Advances in Intelligent Systems, Computer Science and Digital Economics IV 617 628 .
Alejandro del Real Torres, Doru Stefan Andreiana, Álvaro Ojeda Roldán, Alfonso Hernández Bustos & Luis Enrique Acevedo Galicia. (2022) A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework. Applied Sciences 12:23, pages 12377.
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Sujeet Kumar Sharma, Rahul De, Anand Jeyaraj & Ramakrishnan Raman. (2022) Guest editorial: Re-imagining diffusion and adoption of emerging technologies. International Journal of Information Management 67, pages 102541.
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S Hire, A Ranjan, K Ruikar & S Sandbhor. (2022) AI-driven safety checks for ladders used on construction sites. IOP Conference Series: Earth and Environmental Science 1101:9, pages 092040.
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Anbesh Jamwal, Rajeev Agrawal & Monica Sharma. (2022) Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications. International Journal of Information Management Data Insights 2:2, pages 100107.
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Noble Anumbe, Clint Saidy & Ramy Harik. (2022) A Primer on the Factories of the Future. Sensors 22:15, pages 5834.
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Yang Shang. (2022) Design of an Integrated Approach to Industrial Logistics Information Based on Supply Chain Management. Advances in Multimedia 2022, pages 1-8.
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Donghua Chen, José Paulo Esperança & Shaofeng Wang. (2022) The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms. Frontiers in Psychology 13.
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Nawal Taoufik, Wafaa Boumya, Mounia Achak, Hamid Chennouk, Raf Dewil & Noureddine Barka. (2022) The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning. Science of The Total Environment 807, pages 150554.
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Matej Vuković & Stefan Thalmann. (2022) Causal Discovery in Manufacturing: A Structured Literature Review. Journal of Manufacturing and Materials Processing 6:1, pages 10.
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Sayed Suhaib Kamran, Abid Haleem, Shashi Bahl, Mohd Javaid, Chander Prakash & Dharam Budhhi. (2022) Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives. Materials Today: Proceedings 62, pages 4207-4214.
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Shivam Gupta, Sachin Modgil, Samadrita Bhattacharyya & Indranil Bose. (2021) Artificial intelligence for decision support systems in the field of operations research: review and future scope of research. Annals of Operations Research 308:1-2, pages 215-274.
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Sofiat O. Abioye, Lukumon O. Oyedele, Lukman Akanbi, Anuoluwapo Ajayi, Juan Manuel Davila Delgado, Muhammad Bilal, Olugbenga O. Akinade & Ashraf Ahmed. (2021) Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering 44, pages 103299.
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Mohammadreza Kamali, Lise Appels, Xiaobin Yu, Tejraj M. Aminabhavi & Raf Dewil. (2021) Artificial intelligence as a sustainable tool in wastewater treatment using membrane bioreactors. Chemical Engineering Journal 417, pages 128070.
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Surajit Bag, Jan Ham Christiaan Pretorius, Shivam Gupta & Yogesh K. Dwivedi. (2021) Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities. Technological Forecasting and Social Change 163, pages 120420.
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Ocident Bongomin, Aregawi Yemane, Brendah Kembabazi, Clement Malanda, Mwewa Chikonkolo Mwape, Nonsikelelo Sheron Mpofu & Dan Tigalana. (2020) Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art. Journal of Engineering 2020, pages 1-45.
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