The queuing concept and affected person float structures are often related with simulation techniques. Simulation is an effective tool for the comparison and analysis of a new system designs, changes to existing systems, and proposed adjustments to manage systems and running rules. Simulation entails the methodology to furnish the statistics from the model by using staring at the go with the flow of the mannequin using a digital computer. There is much research conducted previously on the use of simulation methods as a device in the evaluation of affected person flow systems and queuing theory. Over the previous four decades, simulation has tested to be a sizeable tool in the analysis of a huge range of health care transport systems, mostly focusing on potential planning and scheduling. It started out as early as in the $1960$s$.$

The project analysed the queuing process at Pharmacy. Customers arriving time, waiting time, serving time, and ending time during two different selected hours $10\mathrm{.}00$ am to $11\mathrm{.}00$ am $($normal hours$)$ and $12\mathrm{.}00$ pm to $1\mathrm{.}00$ pm $($peak hours$),$ and within two different selected days $($Wednesday and Saturday$)$ are monitored for a record that will be further analysed for three consecutive weeks. The customers were provided with an additional questionnaire to determine their level of satisfaction at a Pharmacy. The questionnaire was distributed to customers during normal and peak hours on the two selected days.