Key Factors for Successful Supply Chain Management

JournalIndustrie 4.0 Management
Issue Volume 38, 2022, Edition 3, Pages 48-52
Open Accesshttps://doi.org/10.30844/I40M_22-3_48-52
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Abstract

Today's business world is characterized by ever-increasing complexity in nearly every dimension. Supply chains can no longer be understood in a linear fashion, but form networks across numerous supply chain participants. Globalization and crises are straining existing structures, calling into question previously set priorities and measures, and demanding new solutions. How must supply chains be structured in this constantly changing environment in order to be successful? This article highlights fields of action for successful supply chain management.

Keywords


Bibliography

[1] Koch, S.: Logistik. Eine Einführung in Ökonomie und Nachhaltigkeit. Berlin, Heidelberg (2012).
[2] Ab Talib, M. S.; Abdul Hamid, A. B.: Application of Critical Success Factors in Supply Chain Management. In: International Journal of Supply Chain Management (2014) 3, S. 21–33.
[3] Rao Tummala, V.; Phillips, C.; Johnson, M.: Assessing supply chain management success factors: a case study. In: Supply Chain Management: An International Journal (2006) 11 (2), S. 179–192. DOI: 10.1108/13598540610652573.
[4] Ab Talib, M. S.; Abdul Hamid, A.; Thoo, A.: Critical success factors of supply chain management: a literature survey and Pareto analysis. In: EuroMed Journal of Business (2015) 10 (2), S. 234–263. DOI: 10.1108/EM-JB-09-2014-0028.
[5] Henao-Hernández, I.; Muñoz-Villamizar, A.; Solano-Charris, E. L. (2021): Connectivity Through Digital Supply Chain Management: A Comprehensive Literature Review. In: Damien Trentesaux, Theodor Borangiu, Paulo Leitão, Jose-Fernando Jimenez und Jairo R. Montoya-Torres (Hg.): Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Cham, 2021. Cham: Springer International Publishing, S. 249–259.
[6] Pfohl, H.-C. (2022): Digitalisierung der Supply Chain. Effizienzsteigerung industrieller Lieferketten. ManagerWissen: Fachinformationen für Entscheider. URL:http://manager-wissen.com/digitalisierung-der-supply-chain-effizienzsteigerung-industrieller-lieferketten, Abrufdatum 03.01.2022.
[7] Kleemann, F.; Frühbeis, R.: Resiliente Lieferketten in der VUCA-Welt. Wiesbaden (2021).
[8] Ivanov, D.; Dolgui, A.: OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. In: International journal of production economics (2021) 232, S. 107921. DOI: 10.1016/j.ijpe.2020.107921.
[9] Biedermann, L.: Supply Chain Resilienz. Konzeptioneller Bezugsrahmen und Identifikation Zukünftiger Erfolgsfaktoren. Wiesbaden (2018). URL:https://ebookcentral.proquest. com/lib/kxp/detail.action?docID=5507918.
[10] Werner, H.: Supply Chain Management. Wiesbaden (2020).
[11] Brauer, K.; Groß, W.; Wolff, S. (2010): Flexibilität und Nachhaltigkeit – neue Herausforderungen im Supply Chain Design. In: Corinna Engelhardt-Nowitzki, Olaf Nowitzki und Helmut Zsifkovits (Hg.): Supply Chain Network Management: Gestaltungskonzepte und Stand der praktischen Anwendung. Wiesbaden: Gabler, S. 49–64.

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