Simulation- optimisation approach to support management of blood components inventory

References

• Abbaspour, A., Jahan, A., & Rezaiee, M. (2021). A simple empirical model for blood platelet production and inventory management under uncertainty. Journal of Ambient Intelligence and Humanized Computing, 12(2), 1783–1799. https://doi.org/10.1007/s12652-020-02254-x
   Web of Science ®Google Scholar
• Abdulwahab, U., & Wahab, M. I. M. (2014). Approximate dynamic programming modeling for a typical blood platelet bank. Computers & Industrial Engineering, 78, 259–270. https://doi.org/10.1016/j.cie.2014.07.017
   Web of Science ®Google Scholar
• Alfonso, E., Augusto, V., & Xie, X. (2014). Mathematical programming models for annual and weekly bloodmobile collection planning. IEEE Transactions on Automation Science and Engineering, 12(1), 96–105. https://doi.org/10.1109/TASE.2014.2329571
   Web of Science ®Google Scholar
• An, M. W., Reich, N. G., Crawford, S. O., Brookmeyer, R., Louis, T. A., Nelson, K. E., & Su, Z. (2011). A stochastic simulator of a blood product donation environment with demand spikes and supply shocks. PloS One, 6(7), e21752. https://doi.org/10.1371/journal.pone.0021752
   PubMed Web of Science ®Google Scholar
• Baesler, F., Martínez, C., Yaksic, E., & Herrera, C. (2011). Proceso logístico productivo de un centro de sangre regional: modelamiento y análisis. Revista medica de Chile, 139(9), 1150–1156. https://doi.org/10.4067/S0034-98872011000900006
   PubMed Web of Science ®Google Scholar
• Baesler, F., Nemeth, M., Martínez, C., & Bastías, A. (2014). Analysis of inventory strategies for blood components in a regional blood center using process simulation. Transfusion, 54(2), 323–330. https://doi.org/10.1111/trf.12287
   PubMed Web of Science ®Google Scholar
• Blake, J. T., & Hardy, M. (2014). A generic modelling framework to evaluate network blood management policies: The Canadian blood Services experience. Operations Research for Health Care, 3(3), 116–128. https://doi.org/10.1016/j.orhc.2014.05.002
   Google Scholar
• Blake, J. T., Hardy, M., Delage, G., & Myhal, G. (2013). Déjà‐vu all over again: Using simulation to evaluate the impact of shorter shelf life for red blood cells at H éma‐Québec. Transfusion, 53(7), 1544–1558. https://doi.org/10.1111/j.1537-2995.2012.03947.x
   PubMed Web of Science ®Google Scholar
• Blake, J., McTaggart, K., & Hardy, M. (2015). Modelling a blood distribution network in the prairies with a generic simulation framework. INFOR: Information Systems and Operational Research, 53(4), 194–210. https://doi.org/10.3138/infor.53.4.194
   Web of Science ®Google Scholar
• Brazilian Ministry of Health. 2015. Guia para o uso de hemocomponentes. Retrieved September 10, 2021 https://bvsms.saude.gov.br/bvs/publicacoes/guia_uso_hemocomponentes_2ed.pdf.
   Google Scholar
• Brazilian Ministry of Health. 2019. Retrieved September 13, 2021 https://www.saude.gov.br/noticias/agencia-saude/46049-alvevidas-torne-se-doador-de-sangue-regular
   Google Scholar
• Civelek, I., Karaesmen, I., & Scheller-Wolf, A. (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243(3), 826–838. https://doi.org/10.1016/j.ejor.2015.01.023
   Web of Science ®Google Scholar
• Dalalah, D., Bataineh, O., & Alkhaledi, K. A. (2019). Platelets inventory management: A rolling horizon Sim–opt approach for an age-differentiated demand. Journal of Simulation, 13(3), 209–225. https://doi.org/10.1080/17477778.2018.1497461
   Web of Science ®Google Scholar
• Dalalah, D., Ojiako, U., & Chipulu, M. (2022). On perishable inventory in healthcare: Random expiration dates and age discriminated demand. Journal of Simulation, 1–22. https://doi.org/10.1080/17477778.2020.1851614
   Web of Science ®Google Scholar
• de Mendonca, B., Phibbs, A., Vandermeer, J., & Pasek, Z. J. (2010). Use of simulation in support of analysis and improvement of blood collection process. In Proceedings of the 2010 Winter Simulation Conference (pp. 2352–2363). IEEE. https://doi.org/10.1109/WSC.2010.5678932
   Google Scholar
• Duan, Q., & Liao, T. W. (2013). A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. International Journal of Production Economics, 145(2), 658–671. https://doi.org/10.1016/j.ijpe.2013.05.020
   Web of Science ®Google Scholar
• Duan, Q., & Liao, T. W. (2014). Optimization of blood supply chain with shortened shelf lives and ABO compatibility. International Journal of Production Economics, 153, 113–129. https://doi.org/10.1016/j.ijpe.2014.02.012
   Web of Science ®Google Scholar
• Duan, J., Su, Q., Zhu, Y., & Lu, Y. (2018). Study on the centralization strategy of the blood allocation among different departments within a hospital. Journal of Systems Science and Systems Engineering, 27(4), 417–434. https://doi.org/10.1007/s11518-018-5377-5
   Web of Science ®Google Scholar
• Dumkrieger, G., Huschka, T. R., & Stubbs, J. R. (2014). Modeling the effect of shorter shelf life of red blood cells on blood supplies. In Proceedings of the Winter Simulation Conference 2014 (pp. 1293–1304). IEEE. https://doi.org/10.1109/WSC.2014.7019985
   Google Scholar
• Ejohwomu, O. A., Too, J., & Edwards, D. J. (2021). A resilient approach to modelling the supply and demand of platelets in the United Kingdom blood supply chain. International Journal of Management Science and Engineering Management, 16(2), 143–150. https://doi.org/10.1080/17509653.2021.1892548
   Web of Science ®Google Scholar
• Fan, W. (2018). Research on blood supply chain simulation based on cost and shortage rate. In 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018) (pp. 124–131). Atlantis Press. https://doi.org/10.2991/hsmet-18.2018.25
   Google Scholar
• Ferreira, V. E. D. S., Carmo, B. B. T. D., & Oliveira, A. G. D. (2019). Proposta de um sistema de informação para a gestão de inventário e o direcionamento das campanhas de coleta de sangue. Gestão & Produção, 26(2). https://doi.org/10.1590/0104-530X2223-19
   Google Scholar
• Figueira, G., & Almada-Lobo, B. (2014). Hybrid simulation–optimization methods: A taxonomy and discussion. Simulation Modelling Practice and Theory, 46, 118–134. https://doi.org/10.1016/j.simpat.2014.03.007
   Web of Science ®Google Scholar
• Guðbjörnsdóttir, E. E. (2015). Blood bank inventory management analysis. Reykjavík University.
   Google Scholar
• Haijema, R. (2013). A new class of stock-level dependent ordering policies for perishables with a short maximum shelf life. International Journal of Production Economics, 143(2), 434–439. https://doi.org/10.1016/j.ijpe.2011.05.021
   Web of Science ®Google Scholar
• Haijema, R., van Dijk, N., van der Wal, J., & Sibinga, C. S. (2009). Blood platelet production with breaks: Optimization by SDP and simulation. International Journal of Production Economics, 121(2), 464–473. https://doi.org/10.1016/j.ijpe.2006.11.026
   Web of Science ®Google Scholar
• Hamdan, B., & Diabat, A. (2019). A two-stage multi-echelon stochastic blood supply chain problem. Computers & Operations Research, 101, 130–143. https://doi.org/10.1016/j.cor.2018.09.001
   Web of Science ®Google Scholar
• Hosseinifard, Z., & Abbasi, B. (2018). The inventory centralization impacts on sustainability of the blood supply chain. Computers & Operations Research, 89, 206–212. https://doi.org/10.1016/j.cor.2016.08.014
   Web of Science ®Google Scholar
• Jennings, J. B. (1973). Blood bank inventory control. Management Science, 19(6), 637–645. https://doi.org/10.1287/mnsc.19.6.637
   Web of Science ®Google Scholar
• Katsaliaki, K., & Brailsford, S. C. (2007). Using simulation to improve the blood supply chain. Journal of the Operational Research Society, 58(2), 219–227. https://doi.org/10.1057/palgrave.jors.2602195
   Web of Science ®Google Scholar
• Mansur, A., Mar’ah, F. I., & Amalia, P. (2020). Platelet inventory management system using monte carlo simulation. IOP Conference Series: Materials Science & Engineering, 722(1), 012004. https://doi.org/10.1088/1757-899X/722/1/012004
   Google Scholar
• Mohammadi, N., Seyedi, S. H., Farhadi, P., Shahmohamadi, J., Ganjeh, Z. A., & Salehi, Z. (2022). Development of a scenario-based blood bank model to maximize reducing the blood wastage. Transfusion Clinique et Biologique, 29(1), 16–19. https://doi.org/10.1016/j.tracli.2021.10.003
   PubMed Web of Science ®Google Scholar
• Najafi, M., Ahmadi, A., & Zolfagharinia, H. (2017). Blood inventory management in hospitals: Considering supply and demand uncertainty and blood transshipment possibility. Operations Research for Health Care, 15, 43–56. https://doi.org/10.1016/j.orhc.2017.08.006
   Web of Science ®Google Scholar
• Osorio, A. F., Brailsford, S. C., Smith, H. K., & Blake, J. (2018). Designing the blood supply chain: How much, how and where? Vox Sanguinis, 113(8), 760–769. https://doi.org/10.1111/vox.12706
   PubMed Web of Science ®Google Scholar
• Osorio, A. F., Brailsford, S. C., Smith, H. K., Forero-Matiz, S. P., & Camacho-Rodríguez, B. A. (2017). Simulation-optimization model for production planning in the blood supply chain. Health Care Management Science, 20(4), 548–564. https://doi.org/10.1007/s10729-016-9370-6
   PubMed Web of Science ®Google Scholar
• Pereira, A. (2005). Blood inventory management in the type and screen era. Vox Sanguinis, 89(4), 245–250. https://doi.org/10.1111/j.1423-0410.2005.00700.x
   PubMed Web of Science ®Google Scholar
• Pierskalla, W. P. (2005). Supply chain management of blood banks. In Operations research and health care (pp. 103–145). Springer. https://doi.org/10.1007/1-4020-8066-2_5
   Google Scholar
• Pirabán, A., Guerrero, W. J., & Labadie, N. (2019). Survey on blood supply chain management: Models and methods. Computers & Operations Research, 112, 104756. https://doi.org/10.1016/j.cor.2019.07.014
   Web of Science ®Google Scholar
• Puranam, K., Novak, D. C., Lucas, M. T., & Fung, M. (2017). Managing blood inventory with multiple independent sources of supply. European Journal of Operational Research, 259(2), 500–511. https://doi.org/10.1016/j.ejor.2016.11.005
   Web of Science ®Google Scholar
• Rabinowitz, M. (1973). Blood bank inventory policies: A computer simulation. Health Services Research, 8(4), 271.
   PubMedGoogle Scholar
• Rajendran, S., & Ravindran, A. R. (2017). Platelet ordering policies at hospitals using stochastic integer programming model and heuristic approaches to reduce wastage. Computers & Industrial Engineering, 110, 151–164. https://doi.org/10.1016/j.cie.2017.05.021
   Web of Science ®Google Scholar
• Ribeiro, M. L. J. (2022). Análise de uma cadeia de suprimento de sangue no Brasil utilizando simulação a eventos discretos [Master´s thesis, Federal University of Minas Gerais]. Universidade Federal de Minas Gerais: Escola de engenharia. http://hdl.handle.net/1843/50580.
   Google Scholar
• Rockwell Automation. (n.d.). Download arena simulation software (version 14.0) Computer Software. https://www.rockwellautomation.com/pt-br/products/software/arena-simulation/buying-options/download.html
   Google Scholar
• Rytilä, J. S., & Spens, K. M. (2006). Using simulation to increase efficiency in blood supply chains. Management Research News, 29(12), 801–819. https://doi.org/10.1108/01409170610717826
   Google Scholar
• Sargent, R. G. (2010). Verification and validation of simulation models. In Proceedings of the 2010 winter simulation conference (pp. 166–183). IEEE. https://doi.org/10.1109/WSC.2010.5679166
   Google Scholar
• Soares, H. L., Arruda, E. F., Bahiense, L., Gartner, D., & Amorim Filho, L. (2020). Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate. Artificial Intelligence in Medicine, 104, 101791. https://doi.org/10.1016/j.artmed.2020.101791
   PubMed Web of Science ®Google Scholar
• Van Dijk, N., Haijema, R., Van Der Wal, J., & Sibinga, C. S. (2009). Blood platelet production: A novel approach for practical optimization. Transfusion, 49(3), 411–420. https://doi.org/10.1111/j.1537-2995.2008.01996.x
   PubMed Web of Science ®Google Scholar
• Vrat, P., & Khan, A. B. (1976). Simulation of a blood-inventory-bank system in a hospital. Socio-Economic Planning Sciences, 10(1), 7–15. https://doi.org/10.1016/0038-0121(76)90039-2
   Web of Science ®Google Scholar
• World Health Organization. (2020) Blood safety and donation. Retrieved September 13, 2021. http://www.who.int/mediacentre/factsheets/fs279/en/index.html
   Google Scholar
• Yang, F., Dai, Y., & Ma, Z. J. (2022). A blood component production–inventory problem with preparation method combination and ABO compatibility. IISE Transactions, 54(8), 713–727. https://doi.org/10.1080/24725854.2021.1971341
   Web of Science ®Google Scholar
• Zhao, K., Xiang, C., & Chen, Y. (2021). Research on blood supply chain optimization under supply unreliable and stochastic demand. Journal of Physics Conference Series, 1910(1), 012013. https://doi.org/10.1088/1742-6596/1910/1/012013
   Google Scholar