A literature review of perishable medical resource management

Abouee-Mehrizi H, Mirjalili M, Sarhangian V (2022). Data-driven platelet inventory management under uncertainty in the remaining shelf life of units. Production and Operations Management, 31(10): 3914–3932 Akan M, Alagoz O, Ata B, Erenay F S, Said A (2012). A broader view of designing the liver allocation system. Operations Research, 60(4): 757–770 Al-Ebbini L, Oztekin A, Chen Y (2016). FLAS: Fuzzy lung allocation system for US-based transplantations. European Journal of Operational Research, 248(3): 1051–1065 Alagoz O, Maillart L M, Schaefer A J, Roberts M S (2004). The optimal timing of living-donor liver transplantation. Management Science, 50(10): 1420–1430 Alagoz O, Maillart L M, Schaefer A J, Roberts M S (2007a). Choosing among living-donor and cadaveric livers. Management Science, 53(11): 1702–1715 Alagoz O, Maillart L M, Schaefer A J, Roberts M S (2007b). Determining the acceptance of cadaveric livers using an implicit model of the waiting list. Operations Research, 55(1): 24–36 Anand G, Chandrasekaran A, Sharma L (2021). Sustainable process improvements: Evidence from intervention-based research. Journal of Operations Management, 67(2): 212–236 Anderson R, Ashlagi I, Gamarnik D, Kanoria Y (2017). Efficient dynamic barter exchange. Operations Research, 65(6): 1446–1459 Anderson R, Ashlagi I, Gamarnik D, Rees M, Roth A E, Sonmez T, Unver M U (2015). Kidney exchange and the alliance for paired donation: Operations research changes the way kidneys are transplanted. Interfaces, 45(1): 26–42 Ashlagi I, Burq M, Jaillet P, Manshadi V (2019). On matching and thickness in heterogeneous dynamic markets. Operations Research, 67(4): 927–949 Ata B, Ding Y, Zenios S (2021). An achievable-region-based approach for kidney allocation policy design with endogenous patient choice. Manufacturing & Service Operations Management, 23(1): 36–54 Ata B, Skaro A, Tayur S (2017). OrganJet: Overcoming geographical disparities in access to deceased donor kidneys in the United States. Management Science, 63(9): 2776–2794 Aubert O, Reese P P, Audry B, Bouatou Y, Raynaud M, Viglietti D, Legendre C, Glotz D, Empana J P, Jouven X, Lefaucheur C, Jacquelinet C, Loupy A (2019). Disparities in acceptance of deceased donor kidneys between the United States and France and estimated effects of increased US acceptance. JAMA Internal Medicine, 179(10): 1365–1374 Ayer T, Zhang C, Zeng C, White III C C, Joseph V R (2019). Analysis and improvement of blood collection operations. Manufacturing & Service Operations Management, 21(1): 29–46 Ayer T, Zhang C, Zeng C, White III C C, Joseph V R, Deck M, Lee K, Moroney D, Ozkaynak Z (2018). American red cross uses analytics-based methods to improve blood-collection operations. Interfaces, 48(1): 24–34 Bandi C, Trichakis N, Vayanos P (2019). Robust multiclass queuing theory for wait time estimation in resource allocation systems. Management Science, 65(1): 152–187 Bar-Lev S K, Boxma O, Mathijsen B, Perry D (2017). A blood bank model with perishable blood and demand impatience. Stochastic Systems, 7(2): 237–263 Batun S, Schaefer A J, Bhandari A, Roberts M S (2018). Optimal liver acceptance for risk-sensitive patients. Service Science, 10(3): 320–333 Beliën J, de Boeck L, Colpaert J, Devesse S, van den Bossche F (2013). Optimizing the facility location design of organ transplant centers. Decision Support Systems, 54(4): 1568–1579 Bertsimas D, Farias V F, Trichakis N (2013). Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Operations Research, 61(1): 73–87 Bhandawat R, Casucci S, Ramamurthy B, Walteros J L (2022). Cooperative blood inventory ledger (COBIL): A decentralized decision-making framework for improving blood product management. Computers & Industrial Engineering, 172: 108571 Blossey G, Hahn G J, Koberstein A (2022). Planning pharmaceutical manufacturing networks in the light of uncertain production approval times. International Journal of Production Economics, 244: 108343 Blum A, Dickerson J P, Haghtalab N, Procaccia A D, Sandholm T, Sharma A (2020). Ignorance is almost bliss: Near-optimal stochastic matching with few queries. Operations Research, 68(1): 16–34 Boloori A, Saghafian S, Chakkera H A, Cook C B (2020). Data-driven management of post-transplant medications: An ambiguous partially observable Markov decision process approach. Manufacturing & Service Operations Management, 22(5): 1066–1087 Boutilier J J, Chan T C (2022). Drone network design for cardiac arrest response. Manufacturing & Service Operations Management, 24(5): 2407–2424 Bruni M E, Conforti D, Sicilia N, Trotta S (2006). A new organ transplantation location-allocation policy: A case study of Italy. Health Care Management Science, 9(2): 125–142 Caruso V, Daniele P (2018). A network model for minimizing the total organ transplant costs. European Journal of Operational Research, 266(2): 652–662 Carvalho M, Klimentova X, Glorie K, Viana A, Constantino M (2021). Robust models for the kidney exchange problem. INFORMS Journal on Computing, 33(3): 861–881 Carvalho M, Lodi A (2023). A theoretical and computational equilibria analysis of a multi-player kidney exchange program. European Journal of Operational Research, 305(1): 373–385 Chan T C, Shen Z J M, Siddiq A (2018). Robust defibrillator deployment under cardiac arrest location uncertainty via row-and-column generation. Operations Research, 66(2): 358–379 Civelek I, Karaesmen I, Scheller-Wolf A (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243(3): 826–838 Cook D R, Staschak S, Green W T (1990). Equitable allocation of livers for orthotopic transplantation: An application of the analytic hierarchy process. European Journal of Operational Research, 48(1): 49–56 Dai T, Zheng R, Sycara K (2020). Jumping the line, charitably: Analysis and remedy of donor-priority rule. Management Science, 66(2): 622–641 Delman A M, Lee T C, Wima K, Morris M C, Kassam A F, Shah S A, Quillin III R C (2022). Utilization and effectiveness of the organ procurement and transplantation network “safety-net” policy. Surgery, 171(4): 1073–1082 Demirci M C, Schaefer A J, Romeijn H E, Roberts M S (2012). An exact method for balancing efficiency and equity in the liver allocation hierarchy. INFORMS Journal on Computing, 24(2): 260–275 Devi S P, Kumar S S, Rao K S (2012). Evaluation of kidney transplantation programmes using system simulation. Journal of Medical Systems, 36(3): 1117–1131 Dhakate N N, Joshi R (2020). Analysing process of organ donation and transplantation services in India at hospital level: SAP-LAP model. Global Journal of Flexible Systems Management, 21(4): 323–339 Dickerson J P, Procaccia A D, Sandholm T (2019). Failure-aware kidney exchange. Management Science, 65(4): 1768–1791 Ding Y, Ge D, He S, Ryan C T (2018). A nonasymptotic approach to analyzing kidney exchange graphs. Operations Research, 66(4): 918–935 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 El-Amine H, Bish E K, Bish D R (2018). Robust postdonation blood screening under prevalence rate uncertainty. Operations Research, 66(1): 1–17 Erkin Z, Bailey M D, Maillart L M, Schaefer A J, Roberts M S (2010). Eliciting patients’ revealed preferences: An inverse Markov decision process approach. Decision Analysis, 7(4): 358–365 Gentry S, Chow E, Massie A, Segev D (2015). Gerrymandering for justice: Redistricting US liver allocation. Interfaces, 45(5): 462–480 Ghandforoush P, Sen T K (2010). A DSS to manage platelet production supply chain for regional blood centers. Decision Support Systems, 50(1): 32–42 Glorie K M, van de Klundert J J, Wagelmans A P M (2014). Kidney exchange with long chains: An efficient pricing algorithm for clearing barter exchanges with branch-and-price. Manufacturing & Service Operations Management, 16(4): 498–512 Gong J, Zhao L (2020). Blockchain application in healthcare service mode based on health data bank. Frontiers of Engineering Management, 7(4): 605–614 He B, Huang H, Yuan K (2016). Managing supply disruption through procurement strategy and price competition. International Journal of Production Research, 54(7): 1980–1999 Heidari-Fathian H, Pasandideh S H R (2018). Green-blood supply chain network design: Robust optimization, bounded objective function & Lagrangian relaxation. Computers & Industrial Engineering, 122: 95–105 Klimentova X, Biró P, Viana A, Costa V, Pedroso J P (2023). Novel integer programming models for the stable kidney exchange problem. European Journal of Operational Research, 307(3): 1391–1407 Koch T (1996). Normative and prescriptive criteria: The efficacy of organ transplantation allocation protocols. Theoretical Medicine, 17(1): 75–93 Kong N, Schaefer A J, Hunsaker B, Roberts M S (2010). Maximizing the efficiency of the US liver allocation system through region design. Management Science, 56(12): 2111–2122 Koyuncugil A S, Ozgulbas N (2010). Donor research and matching system based on data mining in organ transplantation. Journal of Medical Systems, 34(3): 251–259 Lan Y, Lu P, Pan C, Kar S, Li W (2022). The effects of medical insurance and patients’ preference on manufacturer encroachment in a pharmaceutical supply chain. Journal of Management Science and Engineering, 7(2): 243–265 Levy A (2005). A decision-rule for transplanting non-cadaveric organs. European Journal of Operational Research, 164(2): 548–554 Liu J, Xi Y, Wang J (2023). Resilience strategies for sustainable supply chains under budget constraints in the post COVID-19 era. Frontiers of Engineering Management, 10(1): 143–157 Lowalekar H, Ravi R R (2017). Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study. International Journal of Production Economics, 186: 89–122 Marinho A, Araújo C A S (2021). Using data envelopment analysis and the bootstrap method to evaluate organ transplantation efficiency in Brazil. Health Care Management Science, 24(3): 569–581 Mendonça F V, Catalao-Lopes M, Marinho R T, Figueira J R (2020). Improving medical decision-making with a management science game theory approach to liver transplantation. Omega, 94: 102050 Misiunas N, Oztekin A, Chen Y, Chandra K (2016). DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status. Omega, 58: 46–54 Misra A, Saranga H, Tripathi R R (2022). Channel choice and incentives in the cadaveric organ supply chain. European Journal of Operational Research, 302(3): 1202–1214 Mobasher A, Ekici A, Özener O Ö (2015). Coordinating collection and appointment scheduling operations at the blood donation sites. Computers & Industrial Engineering, 87: 260–266 Nageswaran L, Scheller-Wolf A (2022). Queues with redundancy: Is waiting in multiple lines fair? Manufacturing & Service Operations Management, 24(4): 1959–1976 Nagurney A, Dutta P (2019). Competition for blood donations. Omega, 85: 103–114 Nemati S, Icten Z G, Maillart L M, Schaefer A J (2020). Mitigating information asymmetry in liver allocation. INFORMS Journal on Computing, 32(2): 234–248 Noble J, John K, Paul B (2022). A new (q*, s) policy to manage inventory for low shelf life products facing deterioration in quality and age differentiated requirements. Computers & Industrial Engineering, 173: 108706 Ouayogodé M H, Schnier K E (2021). Patient selection in the presence of regulatory oversight based on healthcare report cards of providers: The case of organ transplantation. Health Care Management Science, 24(1): 160–184 Özener O Ö, Ekici A (2018). Managing platelet supply through improved routing of blood collection vehicles. Computers & Operations Research, 98: 113–126 Özener O Ö, Ekici A, Çoban E (2019). Improving blood products supply through donation tailoring. Computers & Operations Research, 102: 10–21 Oztekin A, Kong Z J, Delen D (2011). Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations. Decision Support Systems, 51(1): 155–166 Perlman Y, Elalouf A, Yechiali U (2018). Dynamic allocation of stochastically-arriving flexible resources to random streams of objects with application to kidney cross-transplantation. European Journal of Operational Research, 265(1): 169–177 Pirabán-Ramírez A, Guerrero-Rueda W J, Labadie N (2022). The multi-trip vehicle routing problem with increasing profits for the blood transportation: An iterated local search metaheuristic. Computers & Industrial Engineering, 170: 108294 Qi M, Shi Y, Qi Y, Ma C, Yuan R, Wu D, Shen Z J (2023). A practical end-to-end inventory management model with deep learning. Management Science, 69(2): 759–773 Rouhani S, Amin S H (2022). A robust convex optimization approach to design a hierarchical organ transplant network: A case study. Expert Systems with Applications, 197: 116716 Sabouri A, Huh W T, Shechter S M (2017). Screening strategies for patients on the kidney transplant waiting list. Operations Research, 65(5): 1131–1146 Salimian S, Mousavi S M (2022a). A new scenario-based robust optimization approach for organ transplantation network design with queue condition and blood compatibility under climate change. Journal of Computational Science, 62: 101742 Salimian S, Mousavi S M (2022b). A robust possibilistic optimization model for organ transplantation network design considering climate change and organ quality. Journal of Ambient Intelligence and Humanized Computing, in press, doi:https://doi.org/10.1007/s12652-022-03863-4 Sandikçı B, Maillart L M, Schaefer A J, Alagoz O, Roberts M S (2008). Estimating the patient’s price of privacy in liver transplantation. Operations Research, 56(6): 1393–1410 Sandikçı B, Maillart L M, Schaefer A J, Roberts M S (2013). Alleviating the patient’s price of privacy through a partially observable waiting list. Management Science, 59(8): 1836–1854 Smeulders B, Bartier V, Crama Y, Spieksma F C R (2022). Recourse in kidney exchange programs. INFORMS Journal on Computing, 34(2): 1191–1206 Stroncek D F, Rebulla P (2007). Platelet transfusions. Lancet, 370(9585): 427–438 Su X, Zenios S (2004). Patient choice in kidney allocation: The role of the queueing discipline. Manufacturing & Service Operations Management, 6(4): 280–301 Su X, Zenios S A (2005). Patient choice in kidney allocation: A sequential stochastic assignment model. Operations Research, 53(3): 443–455 Su X, Zenios S A (2006). Recipient choice can address the efficiency-equity trade-off in kidney transplantation: A mechanism design model. Management Science, 52(11): 1647–1660 Suen S C, Negoescu D, Goh J (2022). Design of incentive programs for optimal medication adherence in the presence of observable consumption. Operations Research, 70(3): 1691–1716 Teng C W, Foley L, O’Neill P, Hicks C (2014). An analysis of supply chain strategies in the regenerative medicine industry: Implications for future development. International Journal of Production Economics, 149: 211–225 Thompson D, Waisanen L, Wolfe R, Merion R M, McCullough K, Rodgers A (2004). Simulating the allocation of organs for transplantation. Health Care Management Science, 7(4): 331–338 Topuz K, Zengul F D, Dag A, Almehmi A, Yildirim M B (2018). Predicting graft survival among kidney transplant recipients: A Bayesian decision support model. Decision Support Systems, 106: 97–109 Tukamuhabwa B R, Stevenson M, Busby J, Zorzini M (2015). Supply chain resilience: Definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18): 5592–5623 Tunç S, Sandikçi B, Tanriöver B (2022). A simple incentive mechanism to alleviate the burden of organ wastage in transplantation. Management Science, 68(8): 5980–6002 Twumasi C, Twumasi J (2022). Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema general hospital of Ghana. International Journal of Forecasting, 38(3): 1258–1277 van de Klundert J, van der Hagen L, Markus A (2022). Eliminating transplant waiting time inequities: With an application to kidney allocation in the USA. European Journal of Operational Research, 297(3): 977–985 Venugopal S, Stoner E, Cadeiras M, Menezes R (2013). Understanding organ transplantation in the USA using geographical social networks. Social Network Analysis and Mining, 3(3): 457–473 Wang G, Zheng R, Dai T (2022). Does transportation mean transplantation? Impact of new airline routes on sharing of cadaveric kidneys. Management Science, 68(5): 3660–3679 Xie S R, Bish D R, Bish E K, Slonim A D, Stramer S L (2012). Safety and waste considerations in donated blood screening. European Journal of Operational Research, 217(3): 619–632 Xu Y, Szmerekovsky J (2023). The impact of transshipment on an integrated platelet supply chain: A multi-stage stochastic programming approach. Computers & Industrial Engineering, 176: 108991 Yuan Y, Feldhamer S, Gafni A, Fyfe F, Ludwin D (2002). The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: Is this a useful tool? European Journal of Operational Research, 142(1): 152–173 Zahiri B, Tavakkoli-Moghaddam R, Pishvaee M S (2014). A robust possibilistic programming approach to multi-period location allocation of organ transplant centers under uncertainty. Computers & Industrial Engineering, 74: 139–148 Zenios S A (2002). Optimal control of a paired-kidney exchange program. Management Science, 48(3): 328–342 Zenios S A, Chertow G M, Wein L M (2000). Dynamic allocation of kidneys to candidates on the transplant waiting list. Operations Research, 48(4): 549–569 Zhang C, Atasu A, Ayer T, Toktay L B (2020). Truthful mechanisms for medical surplus product allocation. Manufacturing & Service Operations Management, 22(4): 735–753 Zhang J (2010). The sound of silence: Observational learning in the US kidney market. Marketing Science, 29(2): 315–335 Zhou D, Leung L C, Pierskalla W P (2011). Inventory management of platelets in hospitals: Optimal inventory policy for perishable products with regular and optional expedited replenishments. Manufacturing & Service Operations Management, 13(4): 420–438 Zhu T, Xie J, Sim M (2022). Joint estimation and robustness optimization. Management Science, 68(3): 1659–1677