1. AJAY SINGH YADAV - Post-Doctoral Research Scholar, Srinivas University, Mangaluru, India and Assistant Professor, Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
2. PRAVEEN B M - Director- Research, Department of Chemistry, Srinivas University, Mangaluru India.
3. NAVIN AHLAWAT - Professor, Department of Computer Science, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
4. KRISHAN KUMAR YADAV - Research Scholar, Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
In this paper a deterministic Corona Virus Vaccine Supply Chain Green inventory systems due to Covid19 model has been developed for deteriorating and storage of Vaccine waste items having a Pollution treatment cost with two-warehouse facilities using Flower Pollination Optimization. The Vaccine waste items owned warehouse has a fixed capacity of W units; the Vaccine waste items rented warehouse has unlimited capacity using Flower Pollination Optimization. Here, we assumed that the Corona Virus Vaccine Supply Chain Green inventory system due to Covid-19 holding cost in RW is higher than those in OW. Pollution treatment in Corona Virus Vaccine Supply Chain Green inventory systems due to Covid-19 are allowed and partially backlogged and it is assumed that the Corona Virus Vaccine Supply Chain Green inventory systems due to Covid-19 deteriorates over time at a variable deterioration rate using Flower Pollination Optimization. The effect of environmental treatment cost has also been considered for various costs associated with the Corona Virus Vaccine Supply Chain Green inventory systems due to Covid-19 system using Flower Pollination Optimization. Numerical example is also used to study the behaviour of the model. Cost minimization technique is used to get the expressions for total cost and other parameters.
Inventory, Two-warehouse, Air pollution treatment cost, Water pollution treatment cost, Recycle ordering cost, Flower Pollination Optimization