The experience that led to a temporary demand for services occurred in a fast-food restaurant. The scenario happened to the availability of a high influx of people attending a meeting in the nearby conference room. Therefore, during the lunch hour, the restaurant faced an increased number of customers demanding to take away food. Since the restaurant had other regular customers, we were put in a waiting line before the requested meals could be made ready through packaging. The temporary demands halted the restaurant operations since it didn’t have an effective capacity to handle customer demand.
Some of the common performance measures include waiting for customers, including those who have not been served. Second, the average waiting time before services. Third, server utilizations, including the time proportion that the server will be engaged in. Forth, customer probability of wait before receiving the services. The measures that could be used in the restaurant include ensuring an effective number of structures and servers to manage the queuing, ensure there is queue discipline, and manage service and arrival patterns. The reason for these measures is that they will lead to a shorter waiting line.
One of the strategies to minimize the waiting line in a fast food restaurant is to ensure multiple servers serving a single line. The strategy will ensure a reduction in the waiting time, assuring fairness to the customers, and applying a small waiting area, which minimized the cost of customer management. An increase in capacity utilization leads to an increase in waiting time. Because as the chances of line increases, there is a buildup of streaks. Therefore, a business can make operational choices through; Utilization of average customers: P= l/m, Average waiting time in the system: W= 1/ (m-l), Average customers in the waiting line: LQ =Pl, Average waiting line time: WQ = pW. After the average determination, the business will regulate the probability of waiting in line before receiving the services.