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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

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

Smart connected sensors, cyber-physical networks, and big data analytics systems in Internet of Things-based real-time production logistics

Moore, Kelly - In: Economics, management and financial markets 15 (2020) 2, pp. 16-22

Persistent link: https://www.econbiz.de/10012239724

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

An exploration of big data practices in retail sector

Aktas, Emel; Meng, Yuwei - In: Logistics 1 (2017) 2, pp. 1-28

, we identify four themes for big data applications in retail logistics: availability, assortment, pricing, and layout …

Persistent link: https://www.econbiz.de/10012123327

Big Data Analytics Based on Logistical Models

Nywlt, Johannes - 2015

Over the past years, a change of feedback data in terms of quantity, quality, and timeliness could be observed in production. The generation of high resolution production feedback data enables producing companies to apply big data analytics in order to create competitive advantages. This paper...

Persistent link: https://www.econbiz.de/10013015035

Product lifecycle optimization by application of process mining

Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020

analysis. The aim is to challenge process mining as an alternative to address these aspects. Methodology: This paper, therefore …, applies process mining to the ERP data of a component manufacturer in the metalworking industry. For this purpose …, optimization potentials are derived from a literature research and subsequently validated by the application of process mining …