TY - JOUR ID - 3010 TI - A multi objective model for maximizing immunogenicity level of vaccination while minimizing cost and extra-immunization JO - Journal of Mathematical Modeling JA - JMM LA - en SN - 2345-394X AU - Makui, Ahmad AU - Ghousi, Rouzbeh AU - Zhalefruzan, Saeid AD - School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran Y1 - 2018 PY - 2018 VL - 6 IS - 2 SP - 259 EP - 274 KW - Pediatric vaccination KW - mixed vaccines KW - Immunogenicity KW - Multi objective KW - augmented epsilon constraint DO - 10.22124/jmm.2018.7695.1102 N2 - Mortality decrease due to immunizing is the achievement of vaccination. Immunizing faces challenges: Immunogenicity level, cost and extra-immunization. To overcome these a multi-objective Maximizing Immunogenicity, minimizing Cost and Extra-immunization model with Different Vaccine Formulary (ICEDVF) is introduced. Usually, Costs and budget lead to incomplete immunizing. Providing concept of immunogenicity under a fixed budget, the ICEDVF model seeks vaccines maximize immunogenicity and minimize both cost and extra immunization. The augmented e-constraint method is applied to solve ICEDVF and the results are presented for the U.S. UR - https://jmm.guilan.ac.ir/article_3010.html L1 - https://jmm.guilan.ac.ir/article_3010_8c8018a4cae186dcbf5e7b969dd6f651.pdf ER -