Reinforcement Learning Algorithm to Sustain Temperature in Pharma Supply Chain Management

The cold supply chain in the pharmaceutical industry is a technique designed to transport and store temperature-sensitive vaccines to sustain their effectiveness and to uphold safety measures as they are directly involved with human life. The reinforcement learning algorithm is a feedback mechanism using machine learning where the agent, environment, action, state and rewards are correlated. This paper is to sustain a cold supply chain for vaccines like Lupride and Degapride in Sun pharmaceuticals; a reinforcement learning algorithm has been devised to measure, monitor and correct the temperature of the cold storage unit. Temperature-sensitive vaccines need to maintain their chemical and biological traits during their transit from packaging to delivery.