1. bookVolume 29 (2021): Issue 2 (June 2021)
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2017
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch
access type Open Access

Multi-Period Age-Discriminated Perishable Inventory

Online veröffentlicht: 21 May 2021
Seitenbereich: 97 - 105
Eingereicht: 01 Sep 2020
Akzeptiert: 01 Jan 2021
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2017
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch

[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. 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. 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. 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. 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. 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. 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. 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. Search in Google Scholar

[11] S. Nahmias. “Perishable Inventory Systems” Springer International Series in Operations Research & Management Science, vol. 160, 2011. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Search in Google Scholar

[24] T.M. Choi. “Handbook of Newsvendor Problems: Models, Extensions and Applications”. Springer Science & Business Media, 2012. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo