Abstract
Queuing systems focuses on waiting lines, the typical examples are, at ticket booking counters, super bazaars and at bank services, at public transport places etc. many people are waiting to receive the services. To reduce these waiting lines, a largernumber of servers are required. Increasing the number of servers means it is expenditure to the service provider, so the waiting linesand the number of servers must be optimized. In order to getting theoptimal solution, the perception of Linear Programming problem plays a significant role. In this article, the alternative techniques are used to solve the multi-server queuing model, for that the total expected cost of the multi-server queuing model problem translated in to linear programing problem subjected to the constraints and solved the linear programing problem with Python program and obtained the required number of servers and estimated number of customers in the system. And also evaluated the mean arrival rate and the mean service rate of the multi-serverqueuing system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
