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Artificial intelligence applied to supply chain operations management : a systematic literature review
Mendonça, Guilherme Dayrell; Lima, Orlando Fontes <Jr> - In: International journal of logistics systems and … 45 (2023) 1, pp. 1-30
Persistent link: https://www.econbiz.de/10014316909
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Predicting solutions of large-scale optimization problems via machine learning : a case study in blood supply chain management
Abbasi, Babak; Babaei, Toktam; Hosseinifard, Zahra; … - In: Computers & operations research : and their … 119 (2020), pp. 1-20
Persistent link: https://www.econbiz.de/10012236824
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Click here for a data scientist : big data, predictive analytics, and theory development in the era of a maker movement supply chain
Fawcett, Stanley E.; Waller, Matthew A. - In: Journal of business logistics : JBL 34 (2013) 4, pp. 249-252
Persistent link: https://www.econbiz.de/10010243163
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Dynamic data mining for improved forecasting in logistics and supply chain management
Weber, Richard; Guajardo, Jose - In: Dynamics in Logistics : First International Conference, …, (pp. 57-63). 2008
Persistent link: https://www.econbiz.de/10003734350
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Textual data science for logistics and supply chain management
Treiblmaier, Horst; Mair, Patrick - In: Logistics 5 (2021) 3, pp. 1-15
Background: Researchers in logistics and supply chain management apply a multitude of methods. So far, however, the … interesting insights that can supplement existing research approaches in logistics and supply chain research. …
Persistent link: https://www.econbiz.de/10012618298
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Data science, predictive analytics, and big data : a revolution that will transform supply chain design and management
Waller, Matthew A.; Fawcett, Stanley E. - In: Journal of business logistics : JBL 34 (2013) 2, pp. 77-84
Persistent link: https://www.econbiz.de/10009766760
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Using machine learning to detect misstatements
Bertomeu, Jeremy; Cheynel, Edwige; Floyd, Eric; Pan, … - In: Review of accounting studies 26 (2021) 2, pp. 468-519
Persistent link: https://www.econbiz.de/10012548986
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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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Analytical and simulation methods for the configuration of an efficient inventory management system in the wholesale industry : a case study
Afentoulis, Christos; Zikopoulos, Christos - In: International journal of business and systems research … 15 (2021) 6, pp. 770-785
Persistent link: https://www.econbiz.de/10012694577