Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/116289
Title: Resilient supply chains : quantitative methods and modeling approaches
Author(s): Concepción Maure, Lissette
Tamás, Péter
Skapinyecz, Róbert
Issue Date: 2024
Type: Conference object
Language: English
Publisher: Otto von Guericke University Library, Magdeburg, Germany
URN: urn:nbn:de:gbv:ma9:1-1981185920-1182456
Subjects: Supply chains
Modeling
Resilience
Abstract: In today's volatile global landscape, ensuring resilience in supply chains is paramount for businesses to withstand disruptions and maintain operational continuity. This paper presents a comprehensive investigation about supply chain resilience, focusing on indicators, quantitative methods, and modeling approaches. Furthermore, research gaps and future directions are identified, emphasizing the need for long-term resilience, integration of emerging technologies, collaboration among supply chain actors, and alignment with sustainability principles. This review provides a comprehensive foundation for advancing research and practice in SCR, underscoring the importance of holistic and proactive approaches to address challenges and risks in supply chains.
URI: https://opendata.uni-halle.de//handle/1981185920/118245
http://dx.doi.org/10.25673/116289
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:Fakultät für Maschinenbau (OA)

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