A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-022-05052-0.pdf
Reference56 articles.
1. Aghababaei, B., Pishvaee, M. S., & Barzinpour, F. (2021). A fuzzy bi-level programming approach to scarce drugs supply and ration planning problem under risk. Fuzzy Sets and Systems. https://doi.org/10.1016/j.fss.2021.02.021
2. Ahmadi, A., Mousazadeh, M., Torabi, S. A., & Pishvaee, M. S. (2018). OR applications in pharmaceutical supply chain management. International Series in Operations Research and Management Science. https://doi.org/10.1007/978-3-319-65455-3_18
3. Alvarez-Garcia, B., & Fernández-Castro, A. S. (2018). A comprehensive approach for the selection of a portfolio of interdependent projects. An application to subsidized projects in Spain. Computers & Industrial Engineering, 118, 153–159.
4. Amirian, H., & Sahraeian, R. (2018). A hybrid integer grey programming for an integrated problem of project selection and scheduling with interval data. Journal of Industrial and Production Engineering, 35(4), 199–213.
5. Antonijevic, Z. (2015). Optimization of Pharmaceutical R&D Programs and Portfolios.
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