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 |
Appears in Collections: | Fakultät für Maschinenbau (OA) |
Files in This Item:
File | Description | Size | Format | |
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Paper_11_Resilient supply chains.pdf | Paper | 1.45 MB | Adobe PDF | View/Open |