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Designing intervention scheme for vaccine market: a bilevel programming approach

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  • Ece Zeliha Demirci

    (Eindhoven University of Technology (TU/e))

  • Nesim Kohen Erkip

    (Bilkent University)

Abstract

Public-interest goods benefit consumers and also generate external benefits boosting societal welfare. Despite this characteristic of these goods, their level of consumption or production are generally well below the socially desirable levels without intervention. Motivated by influenza vaccine market, this paper examines the intervention design problem for a public-interest good facing yield uncertainty in production as well as inefficiencies in distribution and allocation. The proposed mechanism considers two intervention tools with the aim of resolving the inefficiencies in the system and allowing the actors to take socially desirable decisions. The first tool is to intervene so that demand level for the good is increased; we call it demand increasing strategy. The second tool aims to support the production, allocation, and distribution by investing in research and development and better planning and enhances the availability; we call this as availability increasing strategy. The intervention design problem is based on stylized demand and availability models that take into account investments made to improve them. The model suggested is experimented by a numerical study to analyze the impact of applying proposed joint mechanism in US influenza vaccine market. The results show that proposed strategy is very effectual in terms of vaccination percentages achieved and budget savings realized beyond the current practices, and the improvement in vaccination percentages is even greater when uncertainty in the system is higher. Besides, the results suggest that as long as the parameter calibration and decision problems are solved consistently, availability can be approximated by its average value when necessary.

Suggested Citation

  • Ece Zeliha Demirci & Nesim Kohen Erkip, 2020. "Designing intervention scheme for vaccine market: a bilevel programming approach," Flexible Services and Manufacturing Journal, Springer, vol. 32(2), pages 453-485, June.
  • Handle: RePEc:spr:flsman:v:32:y:2020:i:2:d:10.1007_s10696-019-09348-5
    DOI: 10.1007/s10696-019-09348-5
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    as
    1. Khouja, Moutaz & Robbins, Stephanie S., 2003. "Linking advertising and quantity decisions in the single-period inventory model," International Journal of Production Economics, Elsevier, vol. 86(2), pages 93-105, November.
    2. Kenan Arifoglu & Sarang Deo & Seyed M. R. Iravani, 2012. "Consumption Externality and Yield Uncertainty in the Influenza Vaccine Supply Chain: Interventions in Demand and Supply Sides," Management Science, INFORMS, vol. 58(6), pages 1072-1091, June.
    3. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    4. Osman Y. Özaltın & Oleg A. Prokopyev & Andrew J. Schaefer & Mark S. Roberts, 2011. "Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach," Operations Research, INFORMS, vol. 59(5), pages 1131-1143, October.
    5. Adrian Ramirez-Nafarrate & Joshua D. Lyon & John W. Fowler & Ozgur M. Araz, 2015. "Point-of-Dispensing Location and Capacity Optimization via a Decision Support System," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1311-1328, August.
    6. Maher, Stephen J. & Murray, John M., 2016. "The unrooted set covering connected subgraph problem differentiating between HIV envelope sequences," European Journal of Operational Research, Elsevier, vol. 248(2), pages 668-680.
    7. Tanner, Matthew W. & Ntaimo, Lewis, 2010. "IIS branch-and-cut for joint chance-constrained stochastic programs and application to optimal vaccine allocation," European Journal of Operational Research, Elsevier, vol. 207(1), pages 290-296, November.
    8. Sheldon Jacobson & Edward Sewell & Ruben Proano, 2006. "An analysis of the pediatric vaccine supply shortage problem," Health Care Management Science, Springer, vol. 9(4), pages 371-389, November.
    9. Demirci, Ece Zeliha & Erkip, Nesim K., 2017. "Designing an intervention strategy for public-interest goods: The California electric vehicle market case," Omega, Elsevier, vol. 69(C), pages 53-69.
    10. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    11. Hamed Mamani & Stephen E. Chick & David Simchi-Levi, 2013. "A Game-Theoretic Model of International Influenza Vaccination Coordination," Management Science, INFORMS, vol. 59(7), pages 1650-1670, July.
    12. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    13. Russell Halper & S. Raghavan, 2011. "The Mobile Facility Routing Problem," Transportation Science, INFORMS, vol. 45(3), pages 413-434, August.
    14. Andrea Matta & Salma Chahed - Jebalia & Evren Sahin, 2014. "Modelling home care organisations from an operations management perspective," Post-Print hal-01737963, HAL.
    15. Tinglong Dai & Soo-Haeng Cho & Fuqiang Zhang, 2016. "Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 332-346, July.
    16. Taesik Lee & Hayong Shin, 2016. "Combining syndromic surveillance and ILI data using particle filter for epidemic state estimation," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 233-253, June.
    17. Adida, Elodie & Dey, Debabrata & Mamani, Hamed, 2013. "Operational issues and network effects in vaccine markets," European Journal of Operational Research, Elsevier, vol. 231(2), pages 414-427.
    18. Stephen E. Chick & Hamed Mamani & David Simchi-Levi, 2008. "Supply Chain Coordination and Influenza Vaccination," Operations Research, INFORMS, vol. 56(6), pages 1493-1506, December.
    19. Lee, Chih-Ming & Hsu, Shu-Lu, 2011. "The effect of advertising on the distribution-free newsboy problem," International Journal of Production Economics, Elsevier, vol. 129(1), pages 217-224, January.
    20. Samii, Amir-Behzad & Pibernik, Richard & Yadav, Prashant & Vereecke, Ann, 2012. "Reservation and allocation policies for influenza vaccines," European Journal of Operational Research, Elsevier, vol. 222(3), pages 495-507.
    21. Travis C. Porco & Sally M. Blower, 1998. "Designing HIV Vaccination Policies: Subtypes and Cross-Immunity," Interfaces, INFORMS, vol. 28(3), pages 167-190, June.
    22. Terry A. Taylor & Wenqiang Xiao, 2014. "Subsidizing the Distribution Channel: Donor Funding to Improve the Availability of Malaria Drugs," Management Science, INFORMS, vol. 60(10), pages 2461-2477, October.
    23. Laura J. Kornish & Ralph L. Keeney, 2008. "Repeated Commit-or-Defer Decisions with a Deadline: The Influenza Vaccine Composition," Operations Research, INFORMS, vol. 56(3), pages 527-541, June.
    24. Sarang Deo & Charles J. Corbett, 2009. "Cournot Competition Under Yield Uncertainty: The Case of the U.S. Influenza Vaccine Market," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 563-576, July.
    25. Soo-Haeng Cho, 2010. "The Optimal Composition of Influenza Vaccines Subject to Random Production Yields," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 256-277, November.
    26. Yarmand, Hamed & Ivy, Julie S. & Denton, Brian & Lloyd, Alun L., 2014. "Optimal two-phase vaccine allocation to geographically different regions under uncertainty," European Journal of Operational Research, Elsevier, vol. 233(1), pages 208-219.
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