Go No Queue -Rush Estimator for Corporate Cafeteria Project

Abstract

In many corporate offices, there will be many people who generally visit cafeteria every day. Sometimes the rush in these cafeterias would be more and there may be the chances of food shortage.Go No Queue Rush Estimator For Corporate Cafeteria Project

This can be a problem sometimes which may affect the profits of the cafeteria.To overcome this Scenario we can design a system through which we can estimate the number of people entering and leaving the cafeteria and can count the number of people present in the cafeteria. By this data, the cafeteria people can prepare the food accordingly.

This study details the methodology developed to accurately estimate restaurant wait times. We considered several industry-standard restaurant management metrics in creating a simulation model which allowed us to generate estimated wait times. To confirm the accuracy of our results, we collected real-time scenario data. and compared these data that we collected to the estimate provided by our model. The results of this comparison indicate that our estimation method is accurate under normal simulation parameters.

Additionally, simulation input distributions and the calculation of individual components served as feedback mechanisms used to update the initial estimate.

In restaurant management, customer satisfaction is a main driver of business success. Cornell University Professor, Sheryl E. Kimes Ph.D., states: “Those that continue with seating from a first-come, first-served waitlist should consider ways to empower guests, for example, by giving accurate wait times or issuing pagers.”Giving customers an estimated wait time can be risky–liberal estimates can lure some away and conservative estimates can cause issues in customer service, and negatively affect the customer’s probability of return. To address this issue, we implement a simulation model that estimates a customer’s wait time more precisely.