Sustainable green circular economic model with controllable waste and emission in healthcare system

In the growing economy, the transport sector emerges as the primary generator of the most prevalent greenhouse gas emissions (GHG) due to the combustion of fossil fuels. The medical sector is witnessing a significant expansion of artificial intelligence (AI) to uncover health insights and in transportation sectors to avoid traffic congestion. In general, truck transportations cause delay in deliveries and it emits more carbon. In the context of rural healthcare, the improper delivery of medicinal drugs and surgical equipment has resulted in disruptions for patients. To precise these issues and to promote sustainability, this study aimed to design a circular inventory system to control the waste through circular economy practices, reduce emissions by investing in AI technology, green technology, source reduction technology. Thus, this study uses AI-Drone transportation as an alternative to traditional truck-based delivery system for fast delivery and to reduce carbon foot prints. Green technology reduces anthropogenic GHG emissions by controlling the carbon under the carbon tax and carbon allowance system. This study employs reverse logistics to collect and remanufacture the waste and damaged items. Rather than landfilling, recycling of medical waste reduces emission and waste while conserving resources. Drones equipped with an AI smart capsule track the location and monitor the temperature of certain medical commodities. Taking this into consideration, Baghmara healthcare is used as a case study to develop the model and analyse the necessity of drone deliveries. This research is crucial to provide a support to people in rural areas with the fastest resources during emergency medical crises. Altogether, the study utilizes an appropriate algorithm to generate the optimal profit and ordering quantity for the buyer, manufacturer and integrated total profit by improving efficiency in emission reduction and waste reduction. Numerical and sensitivity analysis is demonstrated graphically using origin software to depict the impact on total profit and ordering quantity. This study can be concluded with the implementation of these 4 technologies, and with the government support, medical product supply chain can sustain with green environment and be profitable for all the participants in that chain.