A literature review of perishable medical resource management
Chao ZHANG, Peifeng LI, Qiao-chu HE, Fan WANG
A literature review of perishable medical resource management
In recent decades, healthcare providers have faced mounting pressure to effectively manage highly perishable and limited medical resources. This article offers a comprehensive review of supply chain management pertaining to such resources, which include transplantable organs and healthcare products. The review encompasses 93 publications from 1990 to 2022, illustrating a discernible upward trajectory in annual publications. The surveyed literature is categorized into three levels: Strategic, tactical, and operational. Key problem attributes and methodologies are analyzed through the assessment of pertinent publications for each problem level. Furthermore, research on service innovation, decision analytics, and supply chain resilience elucidates potential areas for future research.
perishable medical resources / organ transplant / healthcare products / decision analytics / operations management
[1] |
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
CrossRef
Google scholar
|
[2] |
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
CrossRef
Google scholar
|
[3] |
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
CrossRef
Google scholar
|
[4] |
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
CrossRef
Google scholar
|
[5] |
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
CrossRef
Google scholar
|
[6] |
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
CrossRef
Google scholar
|
[7] |
Anand, G Chandrasekaran, A Sharma, L (2021). Sustainable process improvements: Evidence from intervention-based research. Journal of Operations Management, 67( 2): 212–236
CrossRef
Google scholar
|
[8] |
Anderson, R Ashlagi, I Gamarnik, D Kanoria, Y (2017). Efficient dynamic barter exchange. Operations Research, 65( 6): 1446–1459
CrossRef
Google scholar
|
[9] |
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
CrossRef
Google scholar
|
[10] |
Ashlagi, I Burq, M Jaillet, P Manshadi, V (2019). On matching and thickness in heterogeneous dynamic markets. Operations Research, 67( 4): 927–949
CrossRef
Google scholar
|
[11] |
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
CrossRef
Google scholar
|
[12] |
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
CrossRef
Google scholar
|
[13] |
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
CrossRef
Google scholar
|
[14] |
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
CrossRef
Google scholar
|
[15] |
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
CrossRef
Google scholar
|
[16] |
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
CrossRef
Google scholar
|
[17] |
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
CrossRef
Google scholar
|
[18] |
Batun, S Schaefer, A J Bhandari, A Roberts, M S (2018). Optimal liver acceptance for risk-sensitive patients. Service Science, 10( 3): 320–333
CrossRef
Google scholar
|
[19] |
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
CrossRef
Google scholar
|
[20] |
Bertsimas, D Farias, V F Trichakis, N (2013). Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Operations Research, 61( 1): 73–87
CrossRef
Google scholar
|
[21] |
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
CrossRef
Google scholar
|
[22] |
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
CrossRef
Google scholar
|
[23] |
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
CrossRef
Google scholar
|
[24] |
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
CrossRef
Google scholar
|
[25] |
Boutilier, J J Chan, T C (2022). Drone network design for cardiac arrest response. Manufacturing & Service Operations Management, 24( 5): 2407–2424
CrossRef
Google scholar
|
[26] |
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
CrossRef
Google scholar
|
[27] |
Caruso, V Daniele, P (2018). A network model for minimizing the total organ transplant costs. European Journal of Operational Research, 266( 2): 652–662
CrossRef
Google scholar
|
[28] |
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
CrossRef
Google scholar
|
[29] |
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
CrossRef
Google scholar
|
[30] |
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
CrossRef
Google scholar
|
[31] |
Civelek, I Karaesmen, I Scheller-Wolf, A (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243( 3): 826–838
CrossRef
Google scholar
|
[32] |
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
CrossRef
Google scholar
|
[33] |
Dai, T Zheng, R Sycara, K (2020). Jumping the line, charitably: Analysis and remedy of donor-priority rule. Management Science, 66( 2): 622–641
CrossRef
Google scholar
|
[34] |
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
CrossRef
Google scholar
|
[35] |
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
CrossRef
Google scholar
|
[36] |
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
CrossRef
Google scholar
|
[37] |
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
CrossRef
Google scholar
|
[38] |
Dickerson, J P Procaccia, A D Sandholm, T (2019). Failure-aware kidney exchange. Management Science, 65( 4): 1768–1791
CrossRef
Google scholar
|
[39] |
Ding, Y Ge, D He, S Ryan, C T (2018). A nonasymptotic approach to analyzing kidney exchange graphs. Operations Research, 66( 4): 918–935
CrossRef
Google scholar
|
[40] |
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
CrossRef
Google scholar
|
[41] |
El-Amine, H Bish, E K Bish, D R (2018). Robust postdonation blood screening under prevalence rate uncertainty. Operations Research, 66( 1): 1–17
CrossRef
Google scholar
|
[42] |
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
CrossRef
Google scholar
|
[43] |
Gentry, S Chow, E Massie, A Segev, D (2015). Gerrymandering for justice: Redistricting US liver allocation. Interfaces, 45( 5): 462–480
CrossRef
Google scholar
|
[44] |
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
CrossRef
Google scholar
|
[45] |
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
CrossRef
Google scholar
|
[46] |
Gong, J Zhao, L (2020). Blockchain application in healthcare service mode based on health data bank. Frontiers of Engineering Management, 7( 4): 605–614
CrossRef
Google scholar
|
[47] |
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
CrossRef
Google scholar
|
[48] |
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
CrossRef
Google scholar
|
[49] |
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
CrossRef
Google scholar
|
[50] |
Koch, T (1996). Normative and prescriptive criteria: The efficacy of organ transplantation allocation protocols. Theoretical Medicine, 17( 1): 75–93
CrossRef
Google scholar
|
[51] |
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
CrossRef
Google scholar
|
[52] |
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
CrossRef
Google scholar
|
[53] |
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
CrossRef
Google scholar
|
[54] |
Levy, A (2005). A decision-rule for transplanting non-cadaveric organs. European Journal of Operational Research, 164( 2): 548–554
CrossRef
Google scholar
|
[55] |
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
CrossRef
Google scholar
|
[56] |
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
CrossRef
Google scholar
|
[57] |
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
CrossRef
Google scholar
|
[58] |
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
CrossRef
Google scholar
|
[59] |
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
CrossRef
Google scholar
|
[60] |
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
CrossRef
Google scholar
|
[61] |
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
CrossRef
Google scholar
|
[62] |
Nageswaran, L Scheller-Wolf, A (2022). Queues with redundancy: Is waiting in multiple lines fair?. Manufacturing & Service Operations Management, 24( 4): 1959–1976
CrossRef
Google scholar
|
[63] |
Nagurney, A Dutta, P (2019). Competition for blood donations. Omega, 85: 103–114
CrossRef
Google scholar
|
[64] |
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
CrossRef
Google scholar
|
[65] |
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
CrossRef
Google scholar
|
[66] |
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
CrossRef
Google scholar
|
[67] |
Özener, O Ö Ekici, A (2018). Managing platelet supply through improved routing of blood collection vehicles. Computers & Operations Research, 98: 113–126
CrossRef
Google scholar
|
[68] |
Özener, O Ö Ekici, A Çoban, E (2019). Improving blood products supply through donation tailoring. Computers & Operations Research, 102: 10–21
CrossRef
Google scholar
|
[69] |
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
CrossRef
Google scholar
|
[70] |
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
CrossRef
Google scholar
|
[71] |
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
CrossRef
Google scholar
|
[72] |
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
CrossRef
Google scholar
|
[73] |
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
CrossRef
Google scholar
|
[74] |
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
CrossRef
Google scholar
|
[75] |
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
CrossRef
Google scholar
|
[76] |
SalimianSMousavi 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:10.1007/s12652-022-03863-4
|
[77] |
Sandıkçı, 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
CrossRef
Google scholar
|
[78] |
Sandıkçı, 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
CrossRef
Google scholar
|
[79] |
Smeulders, B Bartier, V Crama, Y Spieksma, F C R (2022). Recourse in kidney exchange programs. INFORMS Journal on Computing, 34( 2): 1191–1206
CrossRef
Google scholar
|
[80] |
Stroncek, D F Rebulla, P (2007). Platelet transfusions. Lancet, 370( 9585): 427–438
CrossRef
Google scholar
|
[81] |
Su, X Zenios, S (2004). Patient choice in kidney allocation: The role of the queueing discipline. Manufacturing & Service Operations Management, 6( 4): 280–301
CrossRef
Google scholar
|
[82] |
Su, X Zenios, S A (2005). Patient choice in kidney allocation: A sequential stochastic assignment model. Operations Research, 53( 3): 443–455
CrossRef
Google scholar
|
[83] |
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
CrossRef
Google scholar
|
[84] |
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
CrossRef
Google scholar
|
[85] |
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
CrossRef
Google scholar
|
[86] |
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
CrossRef
Google scholar
|
[87] |
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
CrossRef
Google scholar
|
[88] |
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
CrossRef
Google scholar
|
[89] |
Tunç, S Sandıkçı, B Tanrıöver, B (2022). A simple incentive mechanism to alleviate the burden of organ wastage in transplantation. Management Science, 68( 8): 5980–6002
CrossRef
Google scholar
|
[90] |
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
CrossRef
Google scholar
|
[91] |
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
CrossRef
Google scholar
|
[92] |
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
CrossRef
Google scholar
|
[93] |
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
CrossRef
Google scholar
|
[94] |
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
CrossRef
Google scholar
|
[95] |
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
CrossRef
Google scholar
|
[96] |
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
CrossRef
Google scholar
|
[97] |
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
CrossRef
Google scholar
|
[98] |
Zenios, S A (2002). Optimal control of a paired-kidney exchange program. Management Science, 48( 3): 328–342
CrossRef
Google scholar
|
[99] |
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
CrossRef
Google scholar
|
[100] |
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
CrossRef
Google scholar
|
[101] |
Zhang, J (2010). The sound of silence: Observational learning in the US kidney market. Marketing Science, 29( 2): 315–335
CrossRef
Google scholar
|
[102] |
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
CrossRef
Google scholar
|
[103] |
Zhu, T Xie, J Sim, M (2022). Joint estimation and robustness optimization. Management Science, 68( 3): 1659–1677
CrossRef
Google scholar
|
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