Open Access
Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
---|---|---|
Article Number | 02018 | |
Number of page(s) | 5 | |
Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202346502018 | |
Published online | 18 December 2023 |
- Tirkolaee, E. B., Golpira, H., Javanmardan, A., & Maihami, R. (2022).A socio-economic optimization model for blood supply chain networkdesign during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study. Socio-Economic Planning Sciences. [Google Scholar]
- Dehghani, M., Abbasi, B., & Oliveira, F. (2019). Proactive Transshipment in the Blood Supply Chain: a Stochastic Programming Approach. Omega. [Google Scholar]
- Nagurney, A., & Dutta, P. (2018). Competition for blood donations. Omega. [Google Scholar]
- Chen, P., & Fei, J. (2022). Editorial: Special issue on resilient supply chains through innovative logistics management. The International Journal of Logistics Management.. [Google Scholar]
- Magableh, G. M. (2021). Supply Chains and the COVID-19 Pandemic: A Comprehensive Network. European Management Review.. [Google Scholar]
- Gehrie, E. A., Frank, S. M., & Goobie, S. M. (2020). Balancing Supplyand Demand for Blood during the COVID-19 Pandemic. Anesthesiology. [Google Scholar]
- Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research. [Google Scholar]
- Dubois, D., Fargier, H., & Fortemps, P. (2003). Fuzzy Scheduling: Modelling Flexible COnstraint VS Coping with Incomplete Knowledge. European Journal of Operation Research, 231-252. [Google Scholar]
- Jimenez, M., Arenas, M., Bilbao, A., & Rodriguez, M. V. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 1599-1609. [Google Scholar]
- Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy sets and system, 193-214. [Google Scholar]
- Paterson, C., Kiesmuller, G., Teunter, R., & Glazebrook, K. (2011). Inventory Models with Lateral Transhipment: A Review. European Journal of Operational Research, 125-136. [Google Scholar]
- Firouz, M., Keskin, B. B., & Melouk, S. H. (2017). An Integrated Supplier Selection and Inventory Problem with Multi-sourcing and Lateral Transhipment. Omega, 77-93. [Google Scholar]
- National Health Service (NSH). (2012). Blood group O RhD negative red blood cells information for clinical and laboratory staff. Iran: NSH. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.