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Artificial intelligence in supply chain and operations management : a multiple case study research
Cannas, Violetta Giada; Ciano, Maria Pia; … - In: International journal of production research 62 (2024) 9, pp. 3333-3360
Persistent link: https://www.econbiz.de/10014547017
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Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing
Massulini Acosta, Simone; Sant'Anna, Ângelo Márcio … - In: International journal of quality & reliability management 40 (2023) 3, pp. 727-751
Persistent link: https://www.econbiz.de/10014227482
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Deep learning and sequence mining for manufacturing process and sequence selection
Zhao, Changxuan; Dinar, Mahmoud; Melkote, Shreyes N. - In: International journal of production research 62 (2024) 14, pp. 5293-5314
Persistent link: https://www.econbiz.de/10014547462
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Applications of artificial intelligence in supply chain management : identification of main research fields and greatest industry interests
Lechtenberg, Sandra; Hellingrath, Bernd - 2021
Advances in the area of computing power, data storage capabilities, etc., are changing the way business is done, particularly regarding how businesses use and apply artificial intelligence. To better understand how artificial intelligence is used in supply chain management, this paper identifies...
Persistent link: https://www.econbiz.de/10012514998
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Artificial intelligence in materials handling : how machine learning tools boost warehouse safety, productivity and cost-effectiveness
Downie, Brien; Gyöngyösi, Marc; Kuehl, Chris - In: Journal of supply chain management, logistics and … 4 (2021) 1, pp. 6-16
Persistent link: https://www.econbiz.de/10013201899
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Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data
Slimani, Ilham; El Farissi, Ilhame; Achchab, Said - In: International journal of logistics systems and management 28 (2017) 2, pp. 144-163
Persistent link: https://www.econbiz.de/10011856121
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Travel time prediction in a multimodal freight transport relation using machine learning algorithms
Servos, Nikolaos; Liu, Xiaodi; Teucke, Michael; … - In: Logistics 4 (2020) 1, pp. 1-22
increase their logistics quality and efficiency. It requires both sufficient input data, which can be generated, e.g., by …
Persistent link: https://www.econbiz.de/10012262182
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Artificial intelligence competencies in logistics management : an empirical insight from Bahrain
Shatat, Ahmad Saleh; Shatat, Abdallah Saleh - In: Journal of information & knowledge management : JIKM 23 (2024) 1, pp. 1-34
Persistent link: https://www.econbiz.de/10014533719
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Towards Logistics 4.0 : an edge-cloud software framework for big data analytics in logistics processes
Stietencron, Moritz von; Hribernik, Karl; Lepenioti, … - In: International journal of production research 60 (2022) 19, pp. 5994-6012
Persistent link: https://www.econbiz.de/10013501007
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Logistics performance index estimating with artificial intelligence
Babayigit, Bilal; Gürbüz, Feyza; Denizhan, Berrin - In: International journal of shipping and transport … 16 (2023) 3/4, pp. 360-371
Persistent link: https://www.econbiz.de/10014311133