Supply Chain Analytics – Entscheidungsunterstützung für das Management von Supply Chains-Reference-Cited by-同舟云学术

Supply Chain Analytics – Entscheidungsunterstützung für das Management von Supply Chains

Published:2019 Issue: Volume: Page:163-181
ISSN:
Container-title:Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains
language:
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Author:

Stölzle Wolfgang,Preindl Raphael

Publisher

Springer Fachmedien Wiesbaden

Link

https://link.springer.com/content/pdf/10.1007/978-3-658-25412-4_8

Reference28 articles.

1. Acito, F. und Khatri, V. (2014) ‘Business analytics: Why now and what next?’ Business Horizons, 57(5), 565–570. https://doi.org/10.1016/j.bushor.2014.06.001

2. Arunachalam, D., Kumar, N. und Kawalek, J.P. (2018) ‘Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice’, Transportation Research Part E: Logistics and Transportation Review, 114, 416–436. https://doi.org/10.1016/j.tre.2017.04.001

3. Arya, V. et al. (2017) ‘An exploratory study on supply chain analytics applied to spare parts supply chain’, Benchmarking: An International Journal, 24(6), 1571–1580. https://doi.org/10.1108/bij-04-2016-0053

4. Bode, C. und Wagner, S.M. (2015) ‘Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions’, Journal of Operations Management, 36(1), 215–228. https://doi.org/10.1016/j.jom.2014.12.004

5. Bowers, M.R., Petrie, A.G. und Holcomb, M.C. (2017) ‘Unleashing the Potential of Supply Chain Analytics’, MIT Sloan Management Review, 59(1), 14–16.

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