IDEAS home Printed from https://ideas.repec.org/r/eee/proeco/v145y2013i2p658-671.html
   My bibliography  Save this item

A new age-based replenishment policy for supply chain inventory optimization of highly perishable products

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. De Moor, Bram J. & Gijsbrechts, Joren & Boute, Robert N., 2022. "Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management," European Journal of Operational Research, Elsevier, vol. 301(2), pages 535-545.
  2. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
  3. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
  4. Dehghani, Maryam & Abbasi, Babak, 2018. "An age-based lateral-transshipment policy for perishable items," International Journal of Production Economics, Elsevier, vol. 198(C), pages 93-103.
  5. Yu, Yang & Jaenicke, Edward C., 2021. "The effect of sell-by dates on purchase volume and food waste," Food Policy, Elsevier, vol. 98(C).
  6. Duan, Qinglin & Liao, T. Warren, 2014. "Optimization of blood supply chain with shortened shelf lives and ABO compatibility," International Journal of Production Economics, Elsevier, vol. 153(C), pages 113-129.
  7. Jake Clarkson & Michael A. Voelkel & Anna‐Lena Sachs & Ulrich W. Thonemann, 2023. "The periodic review model with independent age‐dependent lifetimes," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 813-828, March.
  8. Haijema, René & Minner, Stefan, 2019. "Improved ordering of perishables: The value of stock-age information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 316-324.
  9. Osorio, Andres F. & Brailsford, Sally C. & Smith, Honora K., 2018. "Whole blood or apheresis donations? A multi-objective stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 193-204.
  10. Yuan Xu & Joseph Szmerekovsky, 2022. "A multi-product multi-period stochastic model for a blood supply chain considering blood substitution and demand uncertainty," Health Care Management Science, Springer, vol. 25(3), pages 441-459, September.
  11. Sara Cheraghi & Seyyed-Mahdi Hosseini-Motlagh, 2020. "Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study," Annals of Operations Research, Springer, vol. 291(1), pages 129-167, August.
  12. Avci, Mualla Gonca & Selim, Hasan, 2018. "A multi-objective simulation-based optimization approach for inventory replenishment problem with premium freights in convergent supply chains," Omega, Elsevier, vol. 80(C), pages 153-165.
  13. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
  14. Dillon, Mary & Oliveira, Fabricio & Abbasi, Babak, 2017. "A two-stage stochastic programming model for inventory management in the blood supply chain," International Journal of Production Economics, Elsevier, vol. 187(C), pages 27-41.
  15. Ensafian, Hamidreza & Yaghoubi, Saeed, 2017. "Robust optimization model for integrated procurement, production and distribution in platelet supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 32-55.
  16. Kouki, Chaaben & Jouini, Oualid, 2015. "On the effect of lifetime variability on the performance of inventory systems," International Journal of Production Economics, Elsevier, vol. 167(C), pages 23-34.
  17. Janssen, Larissa & Diabat, Ali & Sauer, Jürgen & Herrmann, Frank, 2018. "A stochastic micro-periodic age-based inventory replenishment policy for perishable goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 445-465.
  18. Jing Lu & Jianxiong Zhang & Fuxiao Lu & Wansheng Tang, 2020. "Optimal pricing on an age-specific inventory system for perishable items," Operational Research, Springer, vol. 20(2), pages 605-625, June.
  19. Civelek, Ismail & Karaesmen, Itir & Scheller-Wolf, Alan, 2015. "Blood platelet inventory management with protection levels," European Journal of Operational Research, Elsevier, vol. 243(3), pages 826-838.
  20. Dilupa Nakandala & Henry Lau & Paul K.C. Shum, 2017. "A lateral transshipment model for perishable inventory management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5341-5354, September.
  21. Gorria, Carlos & Lezaun, Mikel & López, F. Javier, 2022. "Performance measures of nonstationary inventory models for perishable products under the EWA policy," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1137-1150.
  22. Mari Ito & Ryuta Takashima, 2023. "Evaluating Inventory Management Policies of Platelets at Regional-Block Blood Centers in Japan," SN Operations Research Forum, Springer, vol. 4(3), pages 1-22, September.
  23. Bo Yan & Gaodi Liu & Zhenyu Zhang & Chang Yan, 2020. "Optimal financing and operation strategy of fresh agricultural supply chain," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 776-794, July.
  24. Yan, Bo & Liu, Gaodi & Zhenyu, Zhang & Chang, Yan, 2020. "Optimal financing and operation strategy of fresh agricultural supply chain," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
  25. Ramezanian, Reza & Behboodi, Zahra, 2017. "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 69-82.
  26. Fredrik Ødegaard & Sudipendra Nath Roy, 2021. "Heuristic-based allocation of supply constrained blood platelets in emerging economies," Journal of Heuristics, Springer, vol. 27(5), pages 719-745, October.
  27. Qingren He & Shuting Li & Fei Xu & Wanhua Qiu, 2022. "Deep-Processing Service and Pricing Decisions for Fresh Products with the Rate of Deterioration," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
  28. Wang, Ke-Ming & Ma, Zu-Jun, 2015. "Age-based policy for blood transshipment during blood shortage," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 166-183.
  29. van Sambeeck, J.H.J. & van Brummelen, S.P.J. & van Dijk, N.M. & Janssen, M.P., 2022. "Optimal blood issuing by comprehensive matching," European Journal of Operational Research, Elsevier, vol. 296(1), pages 240-253.
  30. Anand Paul & Tharanga Rajapakshe & Suman Mallik, 2019. "Socially Optimal Contracting between a Regional Blood Bank and Hospitals," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 908-932, April.
  31. Luo, Kai & Bollapragada, Ramesh & Kerbache, Laoucine, 2017. "Inventory allocation models for a two-stage, two-product, capacitated supplier and retailer problem with random demand," International Journal of Production Economics, Elsevier, vol. 187(C), pages 168-181.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.