Designing intervention scheme for vaccine market: A bilevel programming approach

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buir.contributor.authorErkip, Nesim Kohen
dc.citation.epage485en_US
dc.citation.issueNumber2
dc.citation.spage453en_US
dc.citation.volumeNumber32
dc.contributor.authorDemirci, E. Z.en_US
dc.contributor.authorErkip, Nesim Kohenen_US
dc.date.accessioned2020-02-03T13:02:30Z
dc.date.available2020-02-03T13:02:30Z
dc.date.issued2020-06
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractPublic-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.en_US
dc.description.provenanceSubmitted by Zeynep Aykut (zeynepay@bilkent.edu.tr) on 2020-02-03T13:02:30Z No. of bitstreams: 1 Designing_intervention_scheme_for_vaccine_market_a_bilevel_programming_approach.pdf: 1537621 bytes, checksum: 068e860b54505cc67c1455feb15b0593 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-03T13:02:30Z (GMT). No. of bitstreams: 1 Designing_intervention_scheme_for_vaccine_market_a_bilevel_programming_approach.pdf: 1537621 bytes, checksum: 068e860b54505cc67c1455feb15b0593 (MD5) Previous issue date: 2019en
dc.identifier.doi10.1007/s10696-019-09348-5en_US
dc.identifier.issn1936-6582
dc.identifier.urihttp://hdl.handle.net/11693/53004
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttps://dx.doi.org/10.1007/s10696-019-09348-5en_US
dc.source.titleFlexible Services and Manufacturing Journalen_US
dc.subjectIntervention mechanismen_US
dc.subjectOR in societal problem analysisen_US
dc.subjectPublic-interest gooden_US
dc.subjectSupply chain managementen_US
dc.titleDesigning intervention scheme for vaccine market: A bilevel programming approachen_US
dc.typeArticleen_US

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