Robust inventory theory with perishable products
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-019-03264-5.pdf
Reference30 articles.
1. Agra, A., Santos, M. C., Nace, D., & Poss, M. (2016). A dynamic programming approach for a class of robust optimization problems. SIAM Journal on Optimization, 26(3), 1799–1823.
2. Amorim, P., Meyr, H., Almeder, C., & Almada-Lobo, B. (2013). Managing perishability in production-distribution planning: A discussion and review. Flexible Services and Manufacturing Journal, 25(3), 389–413.
3. Ayoub, J., & Poss, M. (2016). Decomposition for adjustable robust linear optimization subject to uncertainty polytope. Computational Management Science, 13(2), 219–239.
4. Bakker, M., Riezebos, J., & Teunter, R. H. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2), 275–284.
5. Ben-Tal, A., Goryashko, A., Guslitzer, E., & Nemirovski, A. (2004). Adjustable robust solutions of uncertain linear programs. Mathematical Programming, 99(2), 351–376.
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