利用排队理论提高dhaba的服务质量

Kajal Garg Komal, Umesh Sharma
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引用次数: 1

摘要

排队论是关于排队的数学。它在预测和评估系统性能方面非常有用。排队理论已被用于运筹学、制造业和系统分析。几乎每一个著名的酒吧都会出现一个共同的问题,那就是他们会因为排队等待时间过长而失去客户。有些酒吧会提供额外的椅子让顾客等候。但是等了太久之后,他们离开了。然而,当顾客退出并前往下一个酒吧时,仅靠等候椅并不能解决问题。这给我们的dhaba造成了很大的损失。这表明需要一个数值模型来帮助餐厅管理人员更好地了解情况。本文旨在证明排队论在实际情况下满足该模型。作者从哈里亚纳邦霍达尔的“Gulshan Dhaba”获得数据。从而推导出到达率、服务率、利用率、排队等待时间和潜在顾客犹豫的概率。利用利特尔定理和M/M/1排队模型对收集到的数据进行分析。在我们的研究期间,Hodal的“Gulshan Dhaba”在一天中最繁忙的时候到达率是每分钟2个顾客(cpm),而服务率是每分钟2.02个顾客。餐厅平均客流量为100人,利用周期为0.99。
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IMPROVING SERVICE QUALITY OF DHABA WITH THE HELP OF QUEUING THEORY
Queuing theory is the mathematics of waiting lines. It is extremely useful in predicting and evaluating system performance. Queuing theory has been used for operations research, manufacturing and systems analysis The common problem arises in almost every famous dhaba is that they lose their customers due to a long wait on the line. Some dhaba provide extra chair for the customer to wait. But after waiting too long they leave. However, waiting chairs alone would not solve a problem when customers withdraw and go to the next dhaba. This causes a lot of loss to our dhaba. This shows a need of a numerical model for the restaurant management to understand the situation better. This paper aims to show that queuing theory satisfies the model when tested with a real-case scenario. Authors obtained the data from a “Gulshan Dhaba” in Hodal, Haryana. in order to derive the arrival rate, service rate, utilization rate, waiting time in queue and the probability of potential customers to balk. The collected data is analysed by using Little’s Theorem and M/M/1 queuing model. The arrival rate at “Gulshan Dhaba”, Hodal during its busiest period of the day is 2 customers per minute (cpm) while the service rate is 2.02 cpm during our study period. The average number of customers in the restaurant is 100 and the utilization period is 0.99.
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来源期刊
Academic Journal of Manufacturing Engineering
Academic Journal of Manufacturing Engineering Engineering-Industrial and Manufacturing Engineering
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