Bibliographic citations
Arostegui, T., (2017). Sistema de colas en el área de operaciones de la Oficina Principal del Banco de Crédito, Cusco-2017. [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/909
Arostegui, T., Sistema de colas en el área de operaciones de la Oficina Principal del Banco de Crédito, Cusco-2017. [Tesis]. : Universidad Andina del Cusco; 2017. https://hdl.handle.net/20.500.12557/909
@misc{renati/956620,
title = "Sistema de colas en el área de operaciones de la Oficina Principal del Banco de Crédito, Cusco-2017.",
author = "Arostegui Hurtado, Tania",
publisher = "Universidad Andina del Cusco",
year = "2017"
}
In this research, the Queues System of the Operations Area of the Bank of Credit (BCP) Main Office of the city of Cusco was investigated to achieve the objective with three types of client segment of the bank were considered: Exclusive Banking, Customers who have bank card and visitors who don’t have bank card. The genera objective of the research was as the queuing system in the operations area of the main office of the Bank of Credit in the city of Cusco, the level of study is descriptive, the type of research is basic, with a non experimental design, Quantitative, the research technique was applied to all the clients of exclusive banking, customers (with card) and visitors (users without card) who made transactions between 12:00 pm to 13:30 pm and 16:30 pm to 18:00 pm in the period from May 2 to May 12, 2017, and the results were processed in the Microsoft Excel Program. The observation sheets applied to the users show that the source of the population is finite, the distribution of arrivals for the Visitors and Clients queue is one user for a minute and exclusive to one user every five minutes. The distribution of service times is 7.09 minutes on average, discipline on SIRO queues (service in random order), limited queue size, behavior of users with a total of 945 users who did the incorrect queuing and layout design of segmentation of three types of users with a queue-per-call model according to the users' priority.
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