In everyday life, people are subjected to waiting line inconveniences when seeking for services or when buying goods. For instance when people go for shopping, they have to wait in the line when there are other people in queue. Waiting line is common when shopping especially during peak hours like in the evening when people have heading home from work and during the weekend because most families are out doing shopping. Also, waiting lines are common in banks because many people seek for banking services and the tellers serving the customers are limited. Also, government offices is associated with waiting lines when seeking for any kind of government service. Moreover, when in need of things like furniture which are not ready made, one has to wait for customers whose orders came earlier to be made before his or her order is made (El, B. Haqiq, A., & El, K., 2012). Also, planes are wait in the before landing and trucks line up in shipping terminals awaiting loading and unloading. Waiting lines exist because of limited number of service providers and the fact that services are done in the basis of first-come first served.
Customers arrive in waiting lines randomly and in most cases in an unpredictable patterns. Managers of these systems should therefore focus on the service time, length of lines, and how long customers have to wait among other performance measures (El, B. Haqiq, A., & El, K., 2012). As a result, managers should come up with system designs that will balance average service rate and average demand lack of balance can lead to unacceptable demands. The system design is difficult because an increase in service capacity lowers marginal returns. Therefore, striking a balance between service time and returns s important (El, B. Haqiq, A., & El, K., 2012). Also, given the technological advancements, managers can opt for online service delivery for services that do not require physical presence of the customer to ease the congestion in queues.
ReferencesEl, B. A., Haqiq, A., & El, K. S. (July 01, 2012). Quality of Service Analysis and Queuing Performance Modeling of Orthogonal Frequency Division Multiple Access Based IEEE 802.16/WiMAX System. International Journal of Mobile Computing and Multimedia Communications (ijmcmc), 4, 3, 54-70.
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