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Prognostic model development with missing labels
Zschech, Patrick; Heinrich, Kai; Bink, Raphael; … - In: Business & information systems engineering : BISE ; the … 61 (2019) 3, pp. 327-343
Persistent link: https://www.econbiz.de/10012028160
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The quality management ecosystem for predictive maintenance in the Industry 4.0 era
Lee, Sang M.; Lee, Donhee; Kim, Youn Sung - In: International journal of quality innovation 5 (2019) 4, pp. 1-11
The Industry 4.0 era requires new quality management systems due to the ever increasing complexity of the global business environment and the advent of advanced digital technologies. This study presents new ideas for predictive quality management based on an extensive review of the literature on...
Persistent link: https://www.econbiz.de/10012210732
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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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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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Data science, predictive analytics, and big data in supply chain management : current state and future potential
Schoenherr, Tobias; Speier-Pero, Cheri - In: Journal of business logistics : JBL 36 (2015) 1, pp. 120-132
Persistent link: https://www.econbiz.de/10011482310
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Early detection of vessel delays using combined historical and real-time information
Kim, Sungil; Kim, Heeyoung; Park, Yongro - In: Journal of the Operational Research Society : OR 68 (2017) 2, pp. 182-191
Persistent link: https://www.econbiz.de/10011625892
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Predictive analytics : new business intelligence in SCM
Nag, Aditi; Choudhary, Neha; Sinha, Devya; Sinha, Anand … - In: International journal of value chain management : IJVCM 14 (2023) 3, pp. 325-345
Persistent link: https://www.econbiz.de/10014426534
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Beyond descriptive taxonomies in data analytics : a systematic evaluation approach for data-driven method pipelines
Zschech, Patrick - In: Information systems and e-business management : ISeB 21 (2023) 1, pp. 193-227
Persistent link: https://www.econbiz.de/10014252237
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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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From consumer panels to big data : an overview on marketing data development
Van Auken, Stuart - In: Journal of marketing analytics : JMA 3 (2015) 1, pp. 38-45
Persistent link: https://www.econbiz.de/10011380451