A multi-agent based big data analytics system for viable supplier selection
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Title
A multi-agent based big data analytics system for viable supplier selection
Authors
Keywords
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Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-24
DOI
10.1007/s10845-023-02253-7
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- (2021) Ruchi Mishra et al. International Journal of Logistics Management
- Supply chain viability in the context of COVID-19 pandemic in small and medium-sized enterprises: implications for sustainable development goals
- (2021) Sumaiya Benta Nasir et al. Journal of Enterprise Information Management
- Stress testing supply chains and creating viable ecosystems
- (2021) Dmitry Ivanov et al. Operations Management Research
- “A multi-tier sustainable food supplier selection model under uncertainty”
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- (2021) Ying Gao et al. Frontiers of Engineering Management
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- Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
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- Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience
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- (2019) Seyedmohsen Hosseini et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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- (2009) A. F. Guneri et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
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