Comparison of queuing performances measures of Multi-Server counter services using DSW Algorithm method and L-R method / Khairul Niezam Abdul Aziz, Nurul Aina Syamila Mohammad Izahar and Nurul Syahira Ariffin

Abdul Aziz, Khairul Niezam and Mohammad Izahar, Nurul Aina Syamila and Ariffin, Nurul Syahira (2023) Comparison of queuing performances measures of Multi-Server counter services using DSW Algorithm method and L-R method / Khairul Niezam Abdul Aziz, Nurul Aina Syamila Mohammad Izahar and Nurul Syahira Ariffin. [Student Project] (Unpublished)

Abstract

Queues happen when the assets are restricted. Hence, queuing theory helps in the plan of adjusted frameworks that could serve clients rapidly and productively yet not expensive to ever be feasible. Moreover, the queueing issue is critical in the design of a queueing system because it involves one or more decisions such as the number of servers at a service facility and the effectiveness of the servers. When the cost coefficient and the arrival or service pattern are known precisely, the queueing choice issue may be addressed. Hence, the objectives are to measure the queuing performances of multi-server counter services using the DSW Algorithm method and L-R method and to compare which methods are suitable for the queuing performances of multi-server counters.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Abdul Aziz, Khairul Niezam
UNSPECIFIED
Mohammad Izahar, Nurul Aina Syamila
UNSPECIFIED
Ariffin, Nurul Syahira
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Programme: Bachelor of Sciences (Hons.) Management Mathematics
Keywords: DSW Algorithm, L-R method, Multi-Server counter
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/82546
Edit Item
Edit Item

Download

[thumbnail of 82546.pdf] Text
82546.pdf

Download (163kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

82546

Indexing

Statistic

Statistic details