TY - JOUR ID - 111719 TI - A new methodology for COVID-19 preparedness centers based on a location-allocation platform JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - alipour vaezi, mohammad AU - Tavakkoli-Moghaddam, Reza AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Y1 - 2020 PY - 2020 VL - 13 IS - 1 SP - 35 EP - 41 KW - Pandemic preparedness KW - COVID-19 KW - location-allocation KW - Multi-criteria decision making KW - best-worst method DO - N2 - COVID-19 diseaseĀ is spreading all over the planet. It is more than necessary that any researcher does his/her part to control this pandemic disease. Since this virus is infectious, and due to the limitations of hospitals, in different matters, such as human recourses (expertise) and needed equipment, it is reasonable to identify a pre-determined number of hospitals as COVID-19 pandemic centers and trying to equip them as much as possible to treat a relative patient in them. This study proposes a methodology based on a multi-criteria decision making (MCDM) method, namely BWM-WASPAS, for COVID-19 preparedness centers based on a location-allocation problem. This methodology is examined in Tehran city as a real-life case study. We find out that the most important item in this decision making is the ICU capacity. However, ignoring the other criteria is not allowed at all. UR - https://www.jise.ir/article_111719.html L1 - https://www.jise.ir/article_111719_d642a55686b9614358b786f2de8efe35.pdf ER -