[
[1] L. McNeill. (2011). “The retail market: Challenges & opportunities” IBM, Hampshire, UK. Available: http://www-03.ibm.com/systems/data/flash/retail/resources/Inventory_Risk_Paper.pdf.v.
]Search in Google Scholar
[
[2] S. Nahmias. “Perishable inventory theory: a review” Operations Research, vol. 30, 1982, pp. 680-708.10.1287/opre.30.4.68010298625
]Search in Google Scholar
[
[3] I.Z. Karaesmen, A. Scheller-Wolf, B. Deniz. “Planning Production and Inventories in the Extended Enterprise”. International Series in Operations Research & Management Science, vol. 151, 2011, pp. 393-436.10.1007/978-1-4419-6485-4_15
]Search in Google Scholar
[
[4] X. Chao, X. Gong, C. Shi, H. Zhang. “Approximation algorithms for perishable inventory systems”. Operations Research, vol. 63, no 3, 2015, pp. 585-601.10.1287/opre.2015.1386
]Search in Google Scholar
[
[5] S.D. Pinson, W.P. Pierskalla, B. Schaefer “A computer simulation analysis of blood bank inventory policies”. Technical Report, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, 1972.
]Search in Google Scholar
[
[6] J.B, Jennings, “Blood bank inventory control”. Management Science, vol 19, 1973, pp. 637-645.10.1287/mnsc.19.6.637
]Search in Google Scholar
[
[7] M.A. Cohen, W.P. Pierskalla. “Management policies for a regional blood bank”. Transfusion, vol 15, 1975, pp. 58-69.10.1046/j.1537-2995.1975.15175103512.x1114515
]Search in Google Scholar
[
[8] C.P. Schmidt, S. Nahmias. “(S-1, S) policies for perishable inventory”. Management Science, vol 31, 1985, pp. 719-728.10.1287/mnsc.31.6.719
]Search in Google Scholar
[
[9] D. Perry, M.J.M Posne. “An (S-1, S) inventory system with fixed shelf life and constant lead-times”. Operations Research, vol 46, 1998, pp. 565-571.10.1287/opre.46.3.S65
]Search in Google Scholar
[
[10] A. Johnston. “Trends in retail inventory performance: 1982-2012”. Operations Management Research, Volume 7, Issue 3-4, 2014, pp. 86-98.10.1007/s12063-014-0090-0
]Search in Google Scholar
[
[11] S. Nahmias. “Perishable Inventory Systems” Springer International Series in Operations Research & Management Science, vol. 160, 2011.10.1007/978-1-4419-7999-5
]Search in Google Scholar
[
[12] R. Levi, C. Shi. “Approximation algorithms for the stochastic lot-sizing problem with order lead times”. Operations Research, vol. 61, no 3, 2013, pp. 593-602.10.1287/opre.2013.1162
]Search in Google Scholar
[
[13] D. Chazan, S. Gal. “A Markovian model for a perishable product inventory”. Management Science, vol 23, 1977, pp. 512-521.10.1287/mnsc.23.5.512
]Search in Google Scholar
[
[14] M.A. Cohen. “Analysis of single critical number ordering policies for perishable inventories”. Operations Research, vol 24, 1976, pp. 726-741.10.1287/opre.24.4.726
]Search in Google Scholar
[
[15] Z. Lian, L. Liu, M.F. Neuts. “A discrete-time model for common lifetime inventory systems”. Mathematics of Operations Research, vol 30, no 3, 2005, pp. 718-732.10.1287/moor.1040.0133
]Search in Google Scholar
[
[16] R. Haijema, J. van der Wal, & N. van Dijk. “Blood platelet production: Optimization by dynamic programming and simulation”. Computers and Operations Research, vol 34, no 3, 2007, pp. 760-779.10.1016/j.cor.2005.03.023
]Search in Google Scholar
[
[17] H. Zhang, C. Shi, X. Chao. “Technical Note – Approximation Algorithms for Perishable Inventory Systems with Setup Costs”. Informs operations research, 2016, pp. 432-440.10.1287/opre.2016.1485
]Search in Google Scholar
[
[18] Q. Duan, T.W. Liao. “A new age-based replenishment policy for supply chain inventory optimization of highly perishable products”. International Journal of Production Economics, vol 145, 2014, pp. 658-671.10.1016/j.ijpe.2013.05.020
]Search in Google Scholar
[
[19] S.A. Glynn. “The red blood cell storage lesion: A method to the madness”. Transfusion, vol 50, no 6, 2010, pp. 1164-1169.10.1111/j.1537-2995.2010.02674.x20598098
]Search in Google Scholar
[
[20] D. Zhou, Leung, L.C., W.P. Pierskalla. “Inventory management of platelets in hospitals: Optimal inventory policy for perishable products with regular and optional expedited replenishments”. Manufacturing and Service Operations Management, vol 13, no 4, 2011, pp. 420-438.10.1287/msom.1110.0334
]Search in Google Scholar
[
[21] A. Gutierrez-Alcoba, G. Ortega, M.T. Eligius, I. García. “Accelerating an algorithm for perishable inventory control on heterogeneous platforms Original Research Article”. Journal of Parallel and Distributed Computing, vol 104, 2017, pp. 12-18.10.1016/j.jpdc.2016.12.021
]Search in Google Scholar
[
[22] D. Dalalah, O. Bataineh, K. Alkhaledi. “Platelets inventory management: A rolling horizon Sim-Opt approach for an age-differentiated demand”. Journal of Simulation, vol 13, Issue 3, 2019, pp. 209-225.10.1080/17477778.2018.1497461
]Search in Google Scholar
[
[23] Z. Lian, L. Liu. “A discrete-time model for perishable inventory systems”. Annual of Operations Research, vol 87, 1999, pp.103-116.10.1023/A:1018960314433
]Search in Google Scholar
[
[24] T.M. Choi. “Handbook of Newsvendor Problems: Models, Extensions and Applications”. Springer Science & Business Media, 2012.10.1007/978-1-4614-3600-3
]Search in Google Scholar
