A Mixed Integer Linear Programming for COVID-19 Related Medical Waste Reverse Logistics Network Design
| Keyword | COVID-19; medical waste; mixed integer linear programming; reverse logistics; waste management |
| Authors | Santos A.R.P., Maghfiroh M.F.N., Sapiter J.R., Prasetyo Y.T., Redi A.A.N.P., Persada S.F., Young M.N., Nadlifatin R., Ardiansyahmiraja B. |
| satria.fadil@binus.ac.id | |
| Published Year | 2022 |
ABSTRACT
Medical wastes bring probable hazards and public risks if not handled correctly, especially during the covid-19 pandemic. Waste management costs are rising due to continues devastation of covid-19 virus. Increased care and handling processes have been implemented to avoid further spreading the infection while ensuring the proper disposal. Given this, medical waste related to covid-19, including other wastes generated by medical facilities, requires delicate integration into the waste management process thru a reverse logistics network for cost-efficient collection, processing, and transport style. Using AMPL software as solving tool, this paper was designed to utilize a mixed-integer linear programming model of a reverse logistics network to improve medical waste management by identifying the total minimum cost of the waste disposal cycle from Waste generating facilities, treatment facilities, and to the disposal factory. © 2022 ACM.