Study of Egg Product Supply Chain Benefit Allocation Based on Fuzzy Shapley Value
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3416-4_4
Reference10 articles.
1. Ershadi, S.Z., Dias, G., Heidari, M.D.: Improving nitrogen use efficiency in crop-livestock systems: a review of mitigation technologies and management strategies, and their potential applicability for egg supply chains. J. Clean. Prod. 265, 21671 (2020)
2. Cruz-Tirado, J., Da Silva Medeiros, M.L., Barbin, D.F.: On-line monitoring of egg freshness using a portable NIR spectrometer in tandem with machine learning. J. Food Eng. 306, 110643 (2021)
3. Omkarappa, V.C., Fairoze, M.N., Benakabhat, M.C.: Study of retail egg supply chain for quality in relation to level of sanitization and farm of origin. Turkish J. Vet. Anim. Sci. 43(6), 800–807 (2019)
4. Pretorius, C., Ruthven, G.A., Von Leipzig, K.: An empirical supply chain measurement model for a national egg producer based on the supply chain operations reference model. J. Transp. Supply Chain Manag. 7(1), 1–13 (2013)
5. Malone, T., Schaefer, K.A., Lusk, J.L.: Unscrambling U.S. egg supply chains amid covid-19. Food Policy 101, 102046 (2021)
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